Neil Renwick

Neil Renwick

Queens University

H-index: 29

Asia-Bangladesh

About Neil Renwick

Neil Renwick, With an exceptional h-index of 29 and a recent h-index of 18 (since 2020), a distinguished researcher at Queens University, specializes in the field of Translational RNA Biology.

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

A transcriptome analysis of basal and stimulated VWF release from endothelial cells derived from patients with type 1 VWD

YAP and TEAD form a transcriptional complex regulating neuroendocrine differentiation and tumorigenesis through a modular mechanism

A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification

Circular RNA profiling identifies circ5078 as a BMPR2-derived regulator of endothelial translation

Methods for Classifying Cancer

Discriminating neoplastic from nonneoplastic tissues using an miRNA-based deep cancer classifier

Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures

A computational approach to identification of candidate biomarkers in high-dimensional molecular data

Neil Renwick Information

University

Position

___

Citations(all)

4524

Citations(since 2020)

1110

Cited By

3844

hIndex(all)

29

hIndex(since 2020)

18

i10Index(all)

41

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Neil Renwick Skills & Research Interests

Translational RNA Biology

Top articles of Neil Renwick

Title

Journal

Author(s)

Publication Date

A transcriptome analysis of basal and stimulated VWF release from endothelial cells derived from patients with type 1 VWD

Blood Advances

Robert Kloosterman

Matteo Zago-Schmitt

Julie Grabell

Lisa Thibeault

Patricia A De Lima

...

2023/4/25

YAP and TEAD form a transcriptional complex regulating neuroendocrine differentiation and tumorigenesis through a modular mechanism

Endocrine Abstracts

Jina Nanayakkara

Tashifa Imtiaz

Xiaojing Yang

Markus Hafner

Xiaolong Yang

...

2023/12/15

A user-driven machine learning approach for RNA-based sample discrimination and hierarchical classification

STAR Protocols

Tashifa Imtiaz

Jina Nanayakkara

Alexis Fang

Danny Jomaa

Harrison Mayotte

...

2023/12/15

Circular RNA profiling identifies circ5078 as a BMPR2-derived regulator of endothelial translation

bioRxiv

M Martin VandenBroek

Mackenzie C Sharp

Patrick Thompson

Emmanuel Fagbola

Douglas Quilty

...

2023/9/18

Methods for Classifying Cancer

2023/8/31

Discriminating neoplastic from nonneoplastic tissues using an miRNA-based deep cancer classifier

The American Journal of Pathology

Emily Kaczmarek

Blake Pyman

Jina Nanayakkara

Thomas Tuschl

Kathrin Tyryshkin

...

2022/2/1

Topology preserving stratification of tissue neoplasticity using Deep Neural Maps and microRNA signatures

BMC bioinformatics

Emily Kaczmarek

Jina Nanayakkara

Alireza Sedghi

Mehran Pesteie

Thomas Tuschl

...

2022/12

A computational approach to identification of candidate biomarkers in high-dimensional molecular data

Diagnostics

Justin Gerolami

Justin Jong Mun Wong

Ricky Zhang

Tong Chen

Tashifa Imtiaz

...

2022/8/18

miRNA‐Based Cancer Classifier from TCGA Expression Profiles

The FASEB Journal

Tashifa Imtiaz

Dhruv Patel

Justin JM Wong

Kathrin Tyryshkin

Neil Renwick

2022/5

Emerging evidence of noncoding RNAs in bleb scarring after glaucoma filtration surgery

Sabrina Yu

Alex LC Tam

Robert Campbell

Neil Renwick

2022/4/12

The Non-Coding RNA Journal Club: Highlights on Recent Papers—9

Hua Xiao

Patrick KT Shiu

Marta Gabryleska

Simon J Conn

Abhishek Dey

...

2019/6/11

A miR-375/YAP axis regulates neuroendocrine differentiation and tumorigenesis in lung carcinoid cells

Scientific reports

Xiaojing Yang

Jina Nanayakkara

Duncan Claypool

Sadegh Saghafinia

Justin JM Wong

...

2021/5/17

Multi-omic graph transformers for cancer classification and interpretation

Emily Kaczmarek

Amoon Jamzad

Tashifa Imtiaz

Jina Nanayakkara

Neil Renwick

...

2021

Characterizing and classifying neuroendocrine neoplasms through microRNA sequencing and data mining

NAR cancer

Jina Nanayakkara

Kathrin Tyryshkin

Xiaojing Yang

Justin JM Wong

Kaitlin Vanderbeck

...

2020/9

Distinguishing tumor and stromal sources of microRNAs linked to metastasis in cutaneous melanoma

Translational Oncology

Kathleen Watt

Kathrin Tyryshkin

Neil Renwick

Andrew WB Craig

2020/9/1

Classifying lung neuroendocrine neoplasms through microRNA Sequence Data Mining

Cancers

Justin JM Wong

Paula S Ginter

Kathrin Tyryshkin

Xiaojing Yang

Jina Nanayakkara

...

2020/9/17

See List of Professors in Neil Renwick University(Queens University)

Co-Authors

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