Reiko J Tanaka

Reiko J Tanaka

Imperial College London

H-index: 21

Europe-United Kingdom

About Reiko J Tanaka

Reiko J Tanaka, With an exceptional h-index of 21 and a recent h-index of 16 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Systems Medicine, Systems Biology, Biological Control.

His recent articles reflect a diverse array of research interests and contributions to the field:

Role of epithelial barrier function in inducing type 2 immunity following early‐life viral infection

Evaluation of measurement errors in the Patient‐Oriented Eczema Measure (POEM) outcome

Inferring fungal growth rates from optical density data

A Report and Proposals for Future Activity from the Inaugural Artificial Intelligence in Dermatology Symposium Held at the International Societies for Investigative Dermatology …

In silico elucidation of key drivers of S. aureus-S. epidermidis-induced skin damage in atopic dermatitis lesions

714 Stratum corneum homeostasis requires three-stepwise pH zones mediated by the functional cell death of keratinocytes, corneoptosis

Postmortem homeostatic maintenance with three stepwise pH progressions in the stratum corneum of the skin

Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review

Reiko J Tanaka Information

University

Position

Department of Bioengineering

Citations(all)

2290

Citations(since 2020)

871

Cited By

1878

hIndex(all)

21

hIndex(since 2020)

16

i10Index(all)

42

i10Index(since 2020)

25

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Reiko J Tanaka Skills & Research Interests

Systems Medicine

Systems Biology

Biological Control

Top articles of Reiko J Tanaka

Title

Journal

Author(s)

Publication Date

Role of epithelial barrier function in inducing type 2 immunity following early‐life viral infection

Clinical & Experimental Allergy

Kunyuan Tian

Prakrati Dangarh

Haina Zhang

Christian L Hines

Andrew Bush

...

2024/2

Evaluation of measurement errors in the Patient‐Oriented Eczema Measure (POEM) outcome

Clinical & Experimental Allergy

Ariane Duverdier

Guillem Hurault

Kim S Thomas

Adnan Custovic

Reiko J Tanaka

2024/1/2

Inferring fungal growth rates from optical density data

bioRxiv

Tara Hameed

Natasha Motsi

Elaine Bignell

Reiko J Tanaka

2024

A Report and Proposals for Future Activity from the Inaugural Artificial Intelligence in Dermatology Symposium Held at the International Societies for Investigative Dermatology …

JID Innovations

Shannon Wongvibulsin

Tobias Sangers

Claire Clibborn

Yu-Chuan Jack Li

Nikhil Sharma

...

2024/1/1

In silico elucidation of key drivers of S. aureus-S. epidermidis-induced skin damage in atopic dermatitis lesions

JID Innovations

Jamie Lee

Ahmad A Mannan

Takuya Miyano

Alan D Irvine

Reiko J Tanaka

2024/2/28

714 Stratum corneum homeostasis requires three-stepwise pH zones mediated by the functional cell death of keratinocytes, corneoptosis

Journal of Investigative Dermatology

K Fukuda

Y Ito

Y Furuichi

T Miyano

R Tanaka

...

2023/5/1

Postmortem homeostatic maintenance with three stepwise pH progressions in the stratum corneum of the skin

Masayuki Amagai

Keitaro Fukuda

Yoshihiro Ito

Yuki Furuichi

Takeshi Matsui

...

2023/9/27

Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review

Lloyd Steele

Xiang Li Tan

Bayanne Olabi

Jing Mia Gao

Reiko J Tanaka

...

2023/4

Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images

JID Innovations

Rahman Attar

Guillem Hurault

Zihao Wang

Ricardo Mokhtari

Kevin Pan

...

2023/9/1

1012 In silico prediction of the targeted killing of S. aureus in coinfections with S. epidermidis in atopic dermatitis lesions

Journal of Investigative Dermatology

AA Mannan

J Lee

T Miyano

R Tanaka

2023/5/1

198 Reliable and interpretable segmentation for remote assessment of atopic dermatitis severity using digital images

Journal of Investigative Dermatology

K Pan

R Attar

G Hurault

H Williams

R Tanaka

2023/5/1

215 Personalised predictions of patient-reported atopic dermatitis severity scores using a Bayesian machine learning approach

Journal of Investigative Dermatology

A Duverdier

G Hurault

A Custovic

R Tanaka

2023/5/1

Omics-Based Mathematical Modeling Unveils Pathogenesis of Periodontitis in an Experimental Murine Model

Journal of Dental Research

C Fujihara

K Murakami

S Magi

D Motooka

T Nantakeeratipat

...

2023/12

Niamh Kearney, Varsha Eswara Murthy, 3

Rosalind Hughes

Paul D’Alton

Brian Kirby

Bjorn R Thomas

Lloyd Steele

...

2022

245 Deep learning prediction of filaggrin mutation status from palmar images

Journal of Investigative Dermatology

L Steele

B Thomas

EA O’Toole

RJ Tanaka

2022/12/1

Data‐driven research on eczema: Systematic characterization of the field and recommendations for the future

Clinical and Translational Allergy

Ariane Duverdier

Adnan Custovic

Reiko J Tanaka

2022/6

Model-based meta-analysis to optimize Staphylococcus aureus‒targeted therapies for atopic dermatitis

JID Innovations

Takuya Miyano

Alan D Irvine

Reiko J Tanaka

2022/5/1

298 Optimising Staphylococcus aureus-targeted therapies for atopic dermatitis using a mathematical modelling approach

Journal of Investigative Dermatology

Jamie Lee

T Miyano

RJ Tanaka

2022/12/1

EczemaPred: A computational framework for personalised prediction of eczema severity dynamics

Clinical and Translational Allergy

Guillem Hurault

Jean François Stalder

Sophie Mery

Alain Delarue

Markéta Saint Aroman

...

2022/3

129 Fully automated assessment of Atopic Dermatitis severity from real-world digital images

Journal of Investigative Dermatology

G Hurault

R Attar

K Pan

H Williams

RJ Tanaka

2022/12/1

See List of Professors in Reiko J Tanaka University(Imperial College London)

Co-Authors

H-index: 103
John Doyle

John Doyle

California Institute of Technology

H-index: 86
Alan D. Irvine

Alan D. Irvine

Trinity College

H-index: 36
Elaine Bignell

Elaine Bignell

University of Exeter

H-index: 36
Toshiyuki Nakagaki

Toshiyuki Nakagaki

Hokkaido University

H-index: 35
Darius Armstrong-James

Darius Armstrong-James

Imperial College London

H-index: 16
Atsuko Takamatsu

Atsuko Takamatsu

Waseda University

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