Bhav Jain

866 total citations · 1 hit paper
67 papers, 363 citations indexed

About

Bhav Jain is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Bhav Jain has authored 67 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 17 papers in Public Health, Environmental and Occupational Health and 17 papers in Economics and Econometrics. Recurrent topics in Bhav Jain's work include Economic and Financial Impacts of Cancer (14 papers), Global Cancer Incidence and Screening (13 papers) and Palliative Care and End-of-Life Issues (9 papers). Bhav Jain is often cited by papers focused on Economic and Financial Impacts of Cancer (14 papers), Global Cancer Incidence and Screening (13 papers) and Palliative Care and End-of-Life Issues (9 papers). Bhav Jain collaborates with scholars based in United States, United Kingdom and Philippines. Bhav Jain's co-authors include Edward Christopher Dee, Simar S. Bajaj, Fatima Cody Stanford, Fumiko Chino, Paul L. Nguyen, Leo Anthony Celi, Brandon A. Mahal, Vinayak Muralidhar, Pankaj Jain and Shruti Jayakumar and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Bhav Jain

56 papers receiving 357 citations

Hit Papers

An introduction to digital determinants of health 2024 2026 2025 2024 10 20 30 40
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.

  1. An introduction to digital determinants of health
    2024 47 citations Bhav Jain, Shruti Jayakumar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bhav Jain United States 11 91 82 64 63 47 67 363
Stacey Fisher Canada 12 81 0.9× 43 0.5× 88 1.4× 85 1.3× 25 0.5× 25 469
Gareth J Griffith United Kingdom 8 101 1.1× 50 0.6× 76 1.2× 26 0.4× 31 0.7× 25 615
Matthew Prime Switzerland 11 46 0.5× 41 0.5× 116 1.8× 100 1.6× 34 0.7× 37 441
Alexander W. Peters United States 11 63 0.7× 37 0.5× 82 1.3× 152 2.4× 38 0.8× 25 469
Mohamad A. Chahrour Lebanon 9 58 0.6× 50 0.6× 56 0.9× 32 0.5× 40 0.9× 24 516
Norah L. Crossnohere United States 15 89 1.0× 134 1.6× 154 2.4× 180 2.9× 23 0.5× 59 681
Andrea Di Pilla Italy 8 60 0.7× 58 0.7× 132 2.1× 48 0.8× 44 0.9× 24 453
Bobby Daly United States 12 314 3.5× 63 0.8× 57 0.9× 121 1.9× 69 1.5× 31 564
Lindsey Pike United Kingdom 4 98 1.1× 39 0.5× 51 0.8× 20 0.3× 30 0.6× 8 500
Fallon Chipidza United States 9 52 0.6× 19 0.2× 108 1.7× 61 1.0× 71 1.5× 21 363

Countries citing papers authored by Bhav Jain

Since Specialization
Citations

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

Fields of papers citing papers by Bhav Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bhav Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Bhav Jain. A scholar is included among the top collaborators of Bhav Jain 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 Bhav Jain. Bhav Jain 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.
Jain, Bhav, Puneeth Iyengar, James Fan Wu, et al.. (2025). Hematologic cancers in the SAARC region: current burden in 2022 and projections to 2050. 2(1). 100036–100036.
2.
Jain, Pankaj, et al.. (2025). Digital Health: An Opportunity to Advance Health Equity for People With Disabilities. Milbank Quarterly. 103(4). 966–987. 1 indexed citations
3.
Abbara, Aula, Kaveh Khoshnood, Fouad M. Fouad, et al.. (2025). From conflict to care: rebuilding Syria's oncology infrastructure. The Lancet Oncology. 26(7). 833–835.
4.
Lin, John C., et al.. (2025). Benefit-Risk Reporting for FDA-Cleared Artificial Intelligence−Enabled Medical Devices. JAMA Health Forum. 6(9). e253351–e253351. 2 indexed citations
5.
McCoy, Liam G., et al.. (2024). Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review. BMC Medical Education. 24(1). 1096–1096. 13 indexed citations
6.
Dee, Edward Christopher, et al.. (2024). Disparities in incidence and mortality of hematologic cancers in Southeast Asia: A 2020 analysis.. Journal of Clinical Oncology. 42(16_suppl). e23291–e23291. 1 indexed citations
7.
8.
Jain, Bhav, et al.. (2024). The digital divide in access to broadband internet and mental healthcare. Nature Mental Health. 2(1). 88–95. 9 indexed citations
9.
Jain, Bhav & Parthasarathy D. Thirumala. (2024). Limitations of Intraoperative Neuromonitoring for Detection of Cerebral Ischemia. Journal of Cardiothoracic and Vascular Anesthesia. 39(3). 852–854. 1 indexed citations
10.
11.
Jain, Bhav, et al.. (2023). An extension to the FDA approval process is needed to achieve AI equity. Nature Machine Intelligence. 5(2). 96–97. 5 indexed citations
12.
Alberto, Nicole Rose I., Arnab K. Ghosh, Bhav Jain, et al.. (2023). The impact of commercial health datasets on medical research and health-care algorithms. The Lancet Digital Health. 5(5). e288–e294. 33 indexed citations
13.
Jain, Bhav, et al.. (2022). Disparities in timely treatment among young women with breast cancer. The American Journal of Surgery. 224(2). 811–815. 15 indexed citations
14.
Jain, Bhav, et al.. (2022). Community Paramedicine: An Innovative Model for Value-Based Care Delivery. Journal of Public Health Management and Practice. 29(2). E65–E68. 5 indexed citations
15.
Bajaj, Simar S., Bhav Jain, Theodore K. Kyle, et al.. (2022). Overcoming congressional inertia on obesity requires better literacy in obesity science. Obesity. 30(4). 799–801. 6 indexed citations
16.
Jain, Bhav, et al.. (2022). Racial disparities in senior healthcare: System‐level interventions. Journal of the American Geriatrics Society. 70(4). 1292–1296. 4 indexed citations
17.
Bajaj, Simar S., Bhav Jain, & Fatima Cody Stanford. (2022). Weight gain after in vitro fertilization: a potential consequence of controlled ovarian stimulation. Journal of Assisted Reproduction and Genetics. 39(4). 973–976. 2 indexed citations
18.
Krzisch, Marine, Hao Wu, Bingbing Yuan, et al.. (2022). Fragile X Syndrome Patient–Derived Neurons Developing in the Mouse Brain Show FMR1-Dependent Phenotypes. Biological Psychiatry. 93(1). 71–81.
19.
Jain, Bhav, et al.. (2022). The Novel Adenovirus: A Call for Advances in Health Infrastructure and Pandemic Preparedness. Journal of Public Health Management and Practice. 28(6). 603–606. 1 indexed citations
20.
Jain, Bhav, et al.. (2022). Integrated practice units present an opportunity over siloed survivorship care settings. Supportive Care in Cancer. 30(8). 6375–6379. 1 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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