Rohit Bhattacharya

2.4k citations
14 papers · 1.7k · 2 hit papers · h-index 10

Impact in

    • Ovarian cancer diagnosis and treatment
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Rohit Bhattacharya

13 papers receiving 1.7k citations

Rohit Bhattacharya's Hit Papers

High grade serous ovarian carcinomas originate in the fallopian tube 2017 · 568 citations
5680+3+6Years since publication250500750

Peers

Rohit Bhattacharya
Comparison fields: 5 of 90
  • Reproductive Medicine 326
  • Oncology 756
  • Immunology 508
  • Cancer Research 323
  • Obstetrics and Gynecology 72
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Sakari Hietanen Finland
Marianne Waldstrøm Denmark
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Gaia Giannone Italy
Martha S. Hayden-Ledbetter United States
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Citations per year

Countries citing papers authored by Rohit Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Rohit Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rohit Bhattacharya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rohit Bhattacharya Line = papers co-authored together Rohit Bhattacharya links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Evolution of Neoantigen Landscape during Immune Checkpoint Blockade in Non–Small Cell Lung Cancer
Hit paper breakdown →
2016759
2
High grade serous ovarian carcinomas originate in the fallopian tube
Hit paper breakdown →
2017568
3 2019139
4 201683
5 201748
6 202431
7 201712
8 201911
9
Export strategy of Ayurvedic Products from India
201410
10 202110
11 20198
12 20222
13 20211
14 20250

About Rohit Bhattacharya

Rohit Bhattacharya is a scholar working on Statistics and Probability, Artificial Intelligence, Cancer Research, Genetics and Immunology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (3 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (2 papers), Advanced Causal Inference Techniques (2 papers), Statistical Methods and Inference (2 papers), Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Reproductive Medicine (326 citations), Oncology (756 citations), Immunology (508 citations), Cancer Research (323 citations) and Obstetrics and Gynecology (72 citations). Rohit Bhattacharya has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Collin J. Tokheim, Rachel Karchin, David L. Masica, Rick Kim, Noushin Niknafs, Michael T. Ryan, Valsamo Anagnostou, Ashton R. Omdahl, Angelika Beate Riemer and Xiaoshan M. Shao. Their work appears in journals such as Cancer Research, Genome biology, Cancer Discovery, Cancer Immunology Research and JMIR mhealth and uhealth.

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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