Nilanjan Chatterjee

57.5k total citations · 4 hit papers
254 papers, 12.9k citations indexed

About

Nilanjan Chatterjee is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Nilanjan Chatterjee has authored 254 papers receiving a total of 12.9k indexed citations (citations by other indexed papers that have themselves been cited), including 129 papers in Genetics, 75 papers in Molecular Biology and 38 papers in Statistics and Probability. Recurrent topics in Nilanjan Chatterjee's work include Genetic Associations and Epidemiology (104 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and BRCA gene mutations in cancer (32 papers). Nilanjan Chatterjee is often cited by papers focused on Genetic Associations and Epidemiology (104 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and BRCA gene mutations in cancer (32 papers). Nilanjan Chatterjee collaborates with scholars based in United States, United Kingdom and India. Nilanjan Chatterjee's co-authors include Stephen J. Chanock, Ulrike Peters, Montserrat García‐Closas, Richard B. Hayes, Raymond J. Carroll, Sholom Wacholder, Jianxin Shi, Guanghao Qi, William F. Anderson and Otis W. Brawley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Circulation.

In The Last Decade

Nilanjan Chatterjee

249 papers receiving 12.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Developing and evaluating polygenic risk prediction models for stratified disease prevention

2016 432 citations Nilanjan Chatterjee, Montserrat García‐Closas et al. Nature Reviews Genetics profile →
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

2019 386 citations Amber N. Hurson, Marjanka K. Schmidt et al. profile →
Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies

2022 152 citations Jingning Zhang, Anna Köttgen et al. profile →
Principles and methods for transferring polygenic risk scores across global populations

2023 103 citations Linda Kachuri, Nilanjan Chatterjee et al. Nature Reviews Genetics profile →

Peers

Countries citing papers authored by Nilanjan Chatterjee

Since Specialization

Citations

This map shows the geographic impact of Nilanjan Chatterjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nilanjan Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nilanjan Chatterjee more than expected).

Fields of papers citing papers by Nilanjan Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nilanjan Chatterjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nilanjan Chatterjee. The network helps show where Nilanjan Chatterjee may publish in the future.

Co-authorship network of co-authors of Nilanjan Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Nilanjan Chatterjee. A scholar is included among the top collaborators of Nilanjan Chatterjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nilanjan Chatterjee. Nilanjan Chatterjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MUSSEL: Enhanced Bayesian polygenic risk prediction leveraging information across multiple ancestry groups 2024 ·UNC Libraries ·Nilanjan Chatterjee, (unknown), Yunxuan Jiang, Jin Jin, Steven Buyske, Haoyu Zhang, Jared O’Connell, Jianan Zhan, Eimear E. Kenny, Christopher A. Haiman, Bertram L. Koelsch, (unknown), Jingning Zhang, Christopher R. Gignoux, Kari E. North, Genevieve L. Wojcik, Charles Kooperberg	1
2	An ensemble penalized regression method for multi-ancestry polygenic risk prediction 2024 ·Nature Communications ·Jingning Zhang, Jianan Zhan, Jin Jin, (unknown), (unknown), Jared O’Connell, Yunxuan Jiang, Bertram L. Koelsch, Haoyu Zhang, Nilanjan Chatterjee	20
3	Validation of candidate protein biomarkers previously identified by genetic instruments for prostate cancer risk: A prospective cohort analysis of directly measured protein levels in the ARIC study 2024 ·The Prostate ·Tanxin Liu, Corinne E. Joshu, Jiayun Lu, Anna E. Prizment, Nilanjan Chatterjee, Lang Wu, Elizabeth A. Platz	1
4	Potential utility of risk stratification for multicancer screening with liquid biopsy tests 2023 ·npj Precision Oncology ·(unknown), Robert B. Scharpf, Montserrat García‐Closas, Kala Visvanathan, Victor E. Velculescu, Nilanjan Chatterjee	3
5	Principles and methods for transferring polygenic risk scores across global populations breakdown → 2023 ·Nature Reviews Genetics ·Linda Kachuri, Nilanjan Chatterjee, Jibril Hirbo, Daniel J. Schaid, Iman K. Martin, Iftikhar J. Kullo, Eimear E. Kenny, Bogdan Paşaniuc, Paul L. Auer, Matthew P. Conomos, David V. Conti, Yi Ding, Ying Wang, Haoyu Zhang, Yuji Zhang, John S. Witte, Tian Ge	103
6	The sequence kernel association test for multicategorical outcomes 2023 ·Genetic Epidemiology ·(unknown), Haoyu Zhang, Thomas U. Ahearn, Montserrat García‐Closas, Nilanjan Chatterjee, Hongtu Zhu, Xiang Zhan, Ni Zhao	0
7	Polygenic scores in biomedical research 2022 ·Nature Reviews Genetics ·Iftikhar J. Kullo, Cathryn M. Lewis, Michael Inouye, Alicia R. Martin, Samuli Ripatti, Nilanjan Chatterjee	82
8	Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries 2021 ·International Journal of Epidemiology ·Amber N. Hurson, Parichoy Pal Choudhury, Chi Gao, Anika Hüsing, Mikael Eriksson, Min Shi, Michael E. Jones, D. Gareth Evans, Roger L. Milne, Mia M. Gaudet, Celine M. Vachon, Daniel I. Chasman, Douglas F. Easton, Marjanka K. Schmidt, Peter Kraft, Montserrat García‐Closas, Nilanjan Chatterjee, (unknown)	43
9	A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics 2020 ·Biostatistics ·Haoyu Zhang, Ni Zhao, Thomas U. Ahearn, William Wheeler, Montserrat García‐Closas, Nilanjan Chatterjee	4
10	A bidirectional Mendelian randomization study supports causal effects of kidney function on blood pressure 2020 ·Kidney International ·Zhi Yu, Josef Coresh, Guanghao Qi, Morgan E. Grams, Eric Boerwinkle, Harold Snieder, Alexander Teumer, Cristian Pattaro, Anna Köttgen, Nilanjan Chatterjee, Adrienne Tin	81
11	iCARE: An R package to build, validate and apply absolute risk models 2020 ·PLoS ONE ·Parichoy Pal Choudhury, Paige Maas, Amber N. Hurson, William Wheeler, Mark N. Brook, David P. Check, Montserrat García‐Closas, Nilanjan Chatterjee	39
12	Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification 2019 ·JNCI Journal of the National Cancer Institute ·Parichoy Pal Choudhury, Amber N. Hurson, Mark N. Brook, Yan Zhang, Thomas U. Ahearn, Nick Orr, Penny Coulson, Minouk J. Schoemaker, Michael E. Jones, Mitchell H. Gail, Anthony J. Swerdlow, Nilanjan Chatterjee, Montserrat García‐Closas	53
13	Case-Only Analysis of Gene-Environment Interactions Using Polygenic Risk Scores 2019 ·American Journal of Epidemiology ·Allison Meisner, Prosenjit Kundu, Nilanjan Chatterjee	13
14	Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits 2018 ·PLoS Genetics ·Guanghao Qi, Nilanjan Chatterjee	26
15	A Prospective Birth Cohort Study on Early Childhood Lead Levels and Attention Deficit Hyperactivity Disorder: New Insight on Sex Differences 2018 ·The Journal of Pediatrics ·Yuelong Ji, Xiumei Hong, Guoying Wang, Nilanjan Chatterjee, Anne W. Riley, Li-Ching Lee, Pamela J. Surkan, Tami R. Bartell, Barry Zuckerman, Xiaobin Wang	48
16	Power Analysis for Genetic Association Test (PAGEANT) provides insights to challenges for rare variant association studies 2017 ·Bioinformatics ·Andriy Derkach, Haoyu Zhang, Nilanjan Chatterjee	12
17	Robust estimation for homoscedastic regression in the secondary analysis of caseâcontrol data 2012 ·Digital Access to Libraries ·Jiawei Wei, Raymond J. Carroll, Ursula U. Müller, Ingrid Van Keilegom, Nilanjan Chatterjee	19
18	Pathway Analysis of Breast Cancer Genome-Wide Association Study Highlights Three Pathways and One Canonical Signaling Cascade 2010 ·Cancer Research ·Idan Menashe, Dennis Maeder, Montserrat García‐Closas, Jonine D. Figueroa, Samsiddhi Bhattacharjee, Melissa Rotunno, Peter Kraft, David J. Hunter, Stephen J. Chanock, Philip S. Rosenberg, Nilanjan Chatterjee	107
19	Chlamydia pneumoniae Infection and Risk for Lung Cancer 2010 ·Cancer Epidemiology Biomarkers & Prevention ·Anil K. Chaturvedi, Charlotte A. Gaydos, Patricia Agreda, (unknown), Nilanjan Chatterjee, James J. Goedert, Neil E. Caporaso, Eric A. Engels	103
20	Common Genetic Variants in Proinflammatory and Other Immunoregulatory Genes and Risk for Non-Hodgkin Lymphoma 2006 ·Cancer Research ·Sophia Wang, James R. Cerhan, Patricia Hartge, S. Scott Davis, Wendy Cozen, Richard K. Severson, Nilanjan Chatterjee, Meredith Yeager, Stephen J. Chanock, Nathaniel Rothman	105

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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