Martin Kulldorff

Martin Kulldorff

Harvard University

H-index: 83

North America-United States

About Martin Kulldorff

Martin Kulldorff, With an exceptional h-index of 83 and a recent h-index of 42 (since 2020), a distinguished researcher at Harvard University, specializes in the field of disease surveillance, infectious disease outbreaks, scan statistics, pharmacoepidemiology, vaccines.

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

A trial of automated outbreak detection to reduce hospital pathogen spread

On COVID, We Fought the Last War. And Lost

Questions for COVID-19 commission

Sequential data-mining for adverse events after recombinant herpes zoster vaccination using the tree-based scan statistic

As Omicron takes hold and other new variants arise, COVID-19 testing remains the universally agreed tool to effect transition from pandemic to endemic state

Mining clinical data for novel posttraumatic stress disorder medications

Understanding the exceptional pre-vaccination era East Asian COVID-19 outcomes

Tree-based data-mining for COVID-19 vaccine safety assessment

Martin Kulldorff Information

University

Position

Division of Pharmacoepidemiology, Harvard Medical School, Brigham and Women's Hospital

Citations(all)

30693

Citations(since 2020)

8621

Cited By

25666

hIndex(all)

83

hIndex(since 2020)

42

i10Index(all)

202

i10Index(since 2020)

136

Email

University Profile Page

Harvard University

Google Scholar

View Google Scholar Profile

Martin Kulldorff Skills & Research Interests

disease surveillance

infectious disease outbreaks

scan statistics

pharmacoepidemiology

vaccines

Top articles of Martin Kulldorff

Title

Journal

Author(s)

Publication Date

A trial of automated outbreak detection to reduce hospital pathogen spread

NEJM Evidence

Meghan A Baker

Edward Septimus

Ken Kleinman

Julia Moody

Kenneth E Sands

...

2024/4/23

On COVID, We Fought the Last War. And Lost

Jay Bhattacharya

Martin Kulldorff

2023/7/19

Questions for COVID-19 commission

The Norfolk Group

Jay Bhattacharya

L Bienen

Ram Duriseti

T Hoeg

M Kulldorff

...

2023/2/6

Sequential data-mining for adverse events after recombinant herpes zoster vaccination using the tree-based scan statistic

American Journal of Epidemiology

W Katherine Yih

Martin Kulldorff

Inna Dashevsky

Judith C Maro

2023/2

As Omicron takes hold and other new variants arise, COVID-19 testing remains the universally agreed tool to effect transition from pandemic to endemic state

Frontiers in public health

Melissa B Miller

Eng Eong Ooi

Daniel D Rhoads

Martin Kulldorff

Danielle E Anderson

...

2022/4/28

Mining clinical data for novel posttraumatic stress disorder medications

Biological psychiatry

Brian Shiner

Jenna A Forehand

Luke Rozema

Martin Kulldorff

Bradley V Watts

...

2022/4/1

Understanding the exceptional pre-vaccination era East Asian COVID-19 outcomes

Jay Bhattacharya

Phillip Magness

Martin Kulldorff

2022/12/1

Tree-based data-mining for COVID-19 vaccine safety assessment

Pharmacoepidemiology and Drug Safety

Judith Maro

Katherine Yih

David L McClure

Jennifer Nelson

Gabriela Vazquez-Benitez

...

2022

A broad safety assessment of the recombinant herpes zoster vaccine

American Journal of Epidemiology

W Katherine Yih

Martin Kulldorff

Inna Dashevsky

Judith C Maro

2022/5

Active surveillance of the safety of medications used during pregnancy

American Journal of Epidemiology

Krista F Huybrechts

Martin Kulldorff

Sonia Hernández-Díaz

Brian T Bateman

Yanmin Zhu

...

2021/6

A general propensity score for signal identification using tree-based scan statistics

American Journal of Epidemiology

Shirley V Wang

Judith C Maro

Joshua J Gagne

Elisabetta Patorno

Sushama Kattinakere

...

2021/7

Detecting COVID-19 Clusters at High Spatiotemporal Resolution, New York City, New York, USA, June–July 2020

Emerging infectious diseases

Sharon K Greene

Eric R Peterson

Dominique Balan

Lucretia Jones

Gretchen M Culp

...

2021/5

Exact sequential test for clinical trials and post‐market drug and vaccine safety surveillance with Poisson and binary data

Statistics in Medicine

Ivair R. Silva

Judith Maro

Martin Kulldorff

2021/9/30

Calling for benefit–risk evaluations of COVID-19 control measures

The Lancet

Günter Kampf

Martin Kulldorff

2021/2/13

Focused protection: The middle ground between lockdowns and “let it rip”

Jay Bhattacharya

Sunetra Gupta

Martin Kulldorff

2021/6

A broad safety assessment of the 9-valent human papillomavirus vaccine

American Journal of Epidemiology

W Katherine Yih

Martin Kulldorff

Inna Dashevsky

Judith C Maro

2021/7

Leveraging epidemiological principles to evaluate Sweden’s COVID-19 response

Annals of epidemiology

Stefan Baral

Rebecca Chandler

Ruth Gil Prieto

Sunetra Gupta

Sharmistha Mishra

...

2021/2/1

A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes

Endocrinology, Diabetes & Metabolism

Michael Fralick

Martin Kulldorff

Donald Redelmeier

Shirley V Wang

Seanna Vine

...

2021/7

Screening medications for association with progression to wet age-related macular degeneration

Ophthalmology

Shirley V Wang

Martin Kulldorff

Stephen Poor

Dennis S Rice

Angela Banks

...

2021/2/1

Confidence intervals for spatial scan statistic

Computational Statistics & Data Analysis

Ivair R Silva

Luiz Duczmal

Martin Kulldorff

2021/6/1

See List of Professors in Martin Kulldorff University(Harvard University)

Co-Authors

H-index: 124
Sebastian Schneeweiss, M.D., Sc.D.

Sebastian Schneeweiss, M.D., Sc.D.

Harvard University

H-index: 109
Richard Platt

Richard Platt

Harvard University

H-index: 101
Ken Kleinman

Ken Kleinman

University of Massachusetts Amherst

H-index: 69
Grace M Lee

Grace M Lee

Stanford University

H-index: 41
Renato Assunção

Renato Assunção

Universidade Federal de Minas Gerais

H-index: 23
Allyson M (Abrams) Kats

Allyson M (Abrams) Kats

University of Minnesota-Twin Cities

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