Devbarna Sinha

1.3k total citations
19 papers, 181 citations indexed

About

Devbarna Sinha is a scholar working on Statistics and Probability, Oncology and Artificial Intelligence. According to data from OpenAlex, Devbarna Sinha has authored 19 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 6 papers in Oncology and 4 papers in Artificial Intelligence. Recurrent topics in Devbarna Sinha's work include Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Devbarna Sinha is often cited by papers focused on Statistical Distribution Estimation and Applications (6 papers), Statistical Methods and Inference (5 papers) and Bayesian Methods and Mixture Models (4 papers). Devbarna Sinha collaborates with scholars based in United States, Brazil and Australia. Devbarna Sinha's co-authors include Adriano Polpo, Pritinder Kaur, Frank D. Groves, Stuart R. Lipsitz, Holger Schlüter, A. Arriaga, Joshy George, David D.L. Bowtell, Atul A. Gawande and Stuart J. Mills and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

Devbarna Sinha

19 papers receiving 173 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Devbarna Sinha United States 8 75 43 29 23 22 19 181
Juanjuan Fan United States 8 58 0.8× 16 0.4× 73 2.5× 23 1.0× 4 0.2× 11 233
Silvia Calderazzo Germany 7 86 1.1× 36 0.8× 26 0.9× 7 0.3× 3 0.1× 17 222
Latoya A. Stewart United States 8 7 0.1× 50 1.2× 192 6.6× 16 0.7× 11 0.5× 16 342
Sean P. Gavan United Kingdom 7 12 0.2× 23 0.5× 30 1.0× 34 1.5× 3 0.1× 30 232
Catherine Tuglus United States 8 23 0.3× 110 2.6× 15 0.5× 4 0.2× 5 0.2× 12 193
Orli Bahcall United States 9 9 0.1× 13 0.3× 108 3.7× 39 1.7× 12 0.5× 45 237
Sibylle Schirm Germany 8 7 0.1× 42 1.0× 19 0.7× 11 0.5× 8 0.4× 14 163
Catia Sintoni Italy 5 4 0.1× 126 2.9× 42 1.4× 11 0.5× 22 1.0× 5 368
Alina Bazarova United Kingdom 8 12 0.2× 72 1.7× 67 2.3× 12 0.5× 10 0.5× 30 246
Huai‐Ching Kuo United States 12 8 0.1× 80 1.9× 108 3.7× 58 2.5× 3 0.1× 30 315

Countries citing papers authored by Devbarna Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Devbarna Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devbarna Sinha

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

All Works

19 of 19 papers shown
1.
Grover, Shekhar, Tanu Anand, Jugal Kishore, et al.. (2023). Hypertension and its correlates among pregnant women consuming tobacco in India: Findings from the National Family health Survey-4. Preventive Medicine Reports. 35. 102281–102281. 6 indexed citations
2.
Sinha, Devbarna, et al.. (2019). Pericytes in Metastasis. Advances in experimental medicine and biology. 1147. 125–135. 9 indexed citations
3.
Sandhu, Shahneen, Stephen Q. Wong, Ismael A. Vergara, et al.. (2016). Circulating tumor DNA (ctDNA) to track responses and to capture the genomic heterogeneity of metastatic melanoma.. Journal of Clinical Oncology. 34(15_suppl). 9582–9582. 1 indexed citations
4.
Sinha, Devbarna, Lynn Chong, Joshy George, et al.. (2015). Pericytes Promote Malignant Ovarian Cancer Progression in Mice and Predict Poor Prognosis in Serous Ovarian Cancer Patients. Clinical Cancer Research. 22(7). 1813–1824. 25 indexed citations
5.
Fitzmaurice, Garrett M., Stuart R. Lipsitz, A. Arriaga, et al.. (2014). Almost efficient estimation of relative risk regression. Biostatistics. 15(4). 745–756. 15 indexed citations
6.
Ganguly, Koelina, et al.. (2014). MMP-9 as a potential biomarker for carcinoma of oral cavity: a study in eastern India. Neoplasma. 61(6). 747–757. 15 indexed citations
7.
Polpo, Adriano, et al.. (2013). Transform both sides model: A parametric approach. Computational Statistics & Data Analysis. 71. 903–913. 1 indexed citations
8.
Polpo, Adriano, Devbarna Sinha, & Carlos Alberto de Bragança Pereira. (2013). Nonparametric Bayesian Estimation of Reliabilities in a Class of Coherent Systems. IEEE Transactions on Reliability. 62(2). 455–465. 7 indexed citations
9.
Singh, Phool, et al.. (2012). Oblique Stagnation-Point Darcy Flow towards a Stretching Sheet. Journal of Applied Fluid Mechanics. 12(3). 9 indexed citations
10.
Polpo, Adriano, et al.. (2012). A discussion of “On Bayesian estimation of a survival curve: Comparative study and examples”. AIP conference proceedings. 268–277. 2 indexed citations
11.
Polpo, Adriano & Devbarna Sinha. (2011). Correction in Bayesian nonparametric estimation in a series system or a competing-risk model. Statistics & Probability Letters. 81(12). 1756–1759. 9 indexed citations
12.
Sinha, Devbarna, M. Brent McHenry, Stuart R. Lipsitz, & Malay Ghosh. (2009). Empirical Bayes estimation for additive hazards regression models. Biometrika. 96(3). 545–558. 5 indexed citations
13.
Groves, Frank D., K OʼRourke, Devbarna Sinha, et al.. (2007). Residential mobility and risk of childhood acute lymphoblastic leukaemia: an ecological study. British Journal of Cancer. 97(1). 140–144. 10 indexed citations
14.
Watkins, John M., et al.. (2007). Incidence and Prognostic Factors for Seroma Development Following MammoSite Breast Brachytherapy (MBT): The Medical University of South Carolina Experience. International Journal of Radiation Oncology*Biology*Physics. 69(3). S143–S144. 1 indexed citations
15.
Garrow, Donald, Scott W. Miller, Joy Conway, et al.. (2006). Endoscopic Ultrasound: A Meta-Analysis of Test Performance in Suspected Biliary Disease. Endoscopy. 39(S 1). 2 indexed citations
16.
Sinha, Devbarna. (2003). A Bayesian justification of Cox's partial likelihood. Biometrika. 90(3). 629–641. 49 indexed citations
17.
Groves, Frank D., Devbarna Sinha, & Anssi Auvinen. (2002). Haemophilus influenzae type b vaccine formulation and risk of childhood leukaemia. British Journal of Cancer. 87(5). 511–512. 6 indexed citations
18.
Groves, Frank D., Devbarna Sinha, Helena Käyhty, James J. Goedert, & Paul H. Levine. (2001). Haemophilus influenzae type b serology in childhood leukaemia: A case–control study. British Journal of Cancer. 85(3). 337–340. 3 indexed citations
19.
Owen, William J., et al.. (2000). A Paired-Data Analysis for a Lifetime Distribution. The American Statistician. 54(4). 252–256. 6 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.

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