Debajyoti Sinha

7.4k total citations · 2 hit papers
107 papers, 4.4k citations indexed

About

Debajyoti Sinha is a scholar working on Statistics and Probability, Artificial Intelligence and Oncology. According to data from OpenAlex, Debajyoti Sinha has authored 107 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Statistics and Probability, 21 papers in Artificial Intelligence and 11 papers in Oncology. Recurrent topics in Debajyoti Sinha's work include Statistical Methods and Bayesian Inference (47 papers), Statistical Methods and Inference (45 papers) and Statistical Methods in Clinical Trials (17 papers). Debajyoti Sinha is often cited by papers focused on Statistical Methods and Bayesian Inference (47 papers), Statistical Methods and Inference (45 papers) and Statistical Methods in Clinical Trials (17 papers). Debajyoti Sinha collaborates with scholars based in United States, India and Belgium. Debajyoti Sinha's co-authors include Joseph G. Ibrahim, Ming‐Hui Chen, Mousumi Banerjee, Michelle C. Capozzoli, Laura A. McSweeney, Ming‐Hui Chen, Dipak K. Dey, Dipankar Bandyopadhyay, Stuart R. Lipsitz and Elizabeth J. Letourneau and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and Bioinformatics.

In The Last Decade

Debajyoti Sinha

103 papers receiving 4.2k citations

Hit Papers

Beyond kappa: A review of... 1999 2026 2008 2017 1999 2001 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Debajyoti Sinha 1.9k 811 425 357 344 107 4.4k
Odd O. Aalen 2.6k 1.3× 666 0.8× 274 0.6× 802 2.2× 374 1.1× 121 6.4k
Dimitris Rizopoulos 1.8k 0.9× 585 0.7× 438 1.0× 452 1.3× 264 0.8× 225 7.4k
Valen E. Johnson 1.2k 0.6× 607 0.7× 224 0.5× 277 0.8× 296 0.9× 116 5.2k
Martin T. Wells 969 0.5× 344 0.4× 478 1.1× 931 2.6× 197 0.6× 251 7.1k
Ørnulf Borgan 4.5k 2.3× 899 1.1× 673 1.6× 868 2.4× 453 1.3× 84 8.3k
Thomas C. M. Lee 959 0.5× 555 0.7× 530 1.2× 912 2.6× 284 0.8× 192 5.5k
Stephen W. Lagakos 2.1k 1.1× 420 0.5× 263 0.6× 651 1.8× 196 0.6× 116 6.4k
Subir Ghosh 1.3k 0.6× 500 0.6× 172 0.4× 344 1.0× 536 1.6× 79 4.9k
Bahjat F. Qaqish 1.0k 0.5× 301 0.4× 312 0.7× 269 0.8× 169 0.5× 121 5.2k
Mark van der Laan 1.2k 0.6× 418 0.5× 283 0.7× 523 1.5× 90 0.3× 96 4.6k

Countries citing papers authored by Debajyoti Sinha

Since Specialization
Citations

This map shows the geographic impact of Debajyoti Sinha'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 Debajyoti Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debajyoti Sinha more than expected).

Fields of papers citing papers by Debajyoti Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debajyoti Sinha. 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 Debajyoti Sinha. The network helps show where Debajyoti Sinha may publish in the future.

Co-authorship network of co-authors of Debajyoti Sinha

This figure shows the co-authorship network connecting the top 25 collaborators of Debajyoti Sinha. A scholar is included among the top collaborators of Debajyoti Sinha 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 Debajyoti Sinha. Debajyoti Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Devilder, Marie‐Claire, Laetitia Gautreau‐Rolland, Cynthia Fourgeux, et al.. (2023). A cluster of broadly neutralizing IgG against BK polyomavirus in a repertoire dominated by IgM. Life Science Alliance. 6(4). e202201567–e202201567. 6 indexed citations
2.
Luo, Yi, et al.. (2023). Latent pathway-based Bayesian models to identify intervenable factors of racial disparities in breast cancer stage at diagnosis. Cancer Causes & Control. 35(2). 253–263. 2 indexed citations
3.
Carretta, Henry J., et al.. (2022). Rural-Urban Differences in Breast Cancer Stage at Diagnosis. Women s Health Reports. 3(1). 207–214. 19 indexed citations
4.
Fraser, Raphael, Stuart R. Lipsitz, Debajyoti Sinha, & Garrett M. Fitzmaurice. (2021). A note on median regression for complex surveys. Biostatistics. 23(4). 1074–1082. 1 indexed citations
5.
Brownstein, Naomi C., Veronica Bunn, Luis M. Castro, & Debajyoti Sinha. (2020). Bayesian analysis of survival data with missing censoring indicators. Biometrics. 77(1). 305–315. 2 indexed citations
6.
Lin, Jianchang, Debajyoti Sinha, Stuart R. Lipsitz, & Adriano Polpo. (2012). Semiparametric Bayesian Survival Analysis using Models with Log‐linear Median. Biometrics. 68(4). 1136–1145. 7 indexed citations
7.
Watkins, John M., Jennifer L. Harper, Anthony E. Dragun, et al.. (2008). Incidence and prognostic factors for seroma development after MammoSite breast brachytherapy. Brachytherapy. 7(4). 305–309. 23 indexed citations
8.
Day, Terry A., M. Boyd Gillespie, Bonnie Martin‐Harris, et al.. (2008). Proximal Esophageal Stenosis in Head and Neck Cancer Patients after Total Laryngectomy and Radiation. ORL. 70(4). 229–235. 29 indexed citations
9.
Sinha, Debajyoti. (2007). Dynamic Regression Models for Survival Data. Journal of the American Statistical Association. 102(480). 1474–1474. 248 indexed citations
10.
Banerjee, Sudipto, et al.. (2007). Flexible Cure Rate Modeling Under Latent Activation Schemes. Journal of the American Statistical Association. 102(478). 560–572. 126 indexed citations
11.
Hall, Philip D., Debajyoti Sinha, & Arthur E. Frankel. (2006). Fresh frozen plasma and platelet concentrates may increase plasma anti-diphtheria toxin IgG concentrations: implications for diphtheria fusion protein therapy. Cancer Immunology Immunotherapy. 55(8). 928–932. 2 indexed citations
12.
Natarajan, S., Youlian Liao, Debajyoti Sinha, et al.. (2005). Sex Differences in the Effect of Diabetes Duration on Coronary Heart Disease Mortality. Archives of Internal Medicine. 165(4). 430–430. 81 indexed citations
13.
Chen, Ming‐Hui, Joseph G. Ibrahim, & Debajyoti Sinha. (2004). A new joint model for longitudinal and survival data with a cure fraction. Journal of Multivariate Analysis. 91(1). 18–34. 43 indexed citations
14.
Chen, Ming‐Hui, Joseph G. Ibrahim, & Debajyoti Sinha. (2002). Bayesian Inference for Multivariate Survival Data with a Cure Fraction. Journal of Multivariate Analysis. 80(1). 101–126. 67 indexed citations
15.
Ibrahim, Joseph G., Ming Hui Chen, & Debajyoti Sinha. (2001). Criterion-based methods for Bayesian model assessment. Statistica Sinica. 11(2). 419–443. 55 indexed citations
16.
Chen, Ming‐Hui, Joseph G. Ibrahim, & Debajyoti Sinha. (1999). A New Bayesian Model for Survival Data with a Surviving Fraction. Journal of the American Statistical Association. 94(447). 909–919. 326 indexed citations
17.
Chen, Ming‐Hui, Joseph G. Ibrahim, & Debajyoti Sinha. (1999). A New Bayesian Model for Survival Data with a Surviving Fraction. Journal of the American Statistical Association. 94(447). 909–909. 50 indexed citations
18.
Sahu, Sujit K., et al.. (1997). A Weibull Regression Model with Gamma Frailties for Multivariate Survival Data. Lifetime Data Analysis. 3(2). 123–137. 95 indexed citations
19.
Tagliaferro, Anthony R., et al.. (1996). Cyclic Food Restriction Alters Substrate Utilization and Abolishes Protection from Mammary Carcinogenesis in Female Rats1,2. Journal of Nutrition. 126(5). 1398–1405. 32 indexed citations
20.
Sinha, Debajyoti. (1993). Semiparametric Bayesian Analysis of Multiple Event Time Data. Journal of the American Statistical Association. 88(423). 979–983. 50 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026