Vidit Munshi

1.2k total citations · 1 hit paper
19 papers, 929 citations indexed

About

Vidit Munshi is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Vidit Munshi has authored 19 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 3 papers in Surgery. Recurrent topics in Vidit Munshi's work include Lung Cancer Diagnosis and Treatment (9 papers), Global Cancer Incidence and Screening (8 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Vidit Munshi is often cited by papers focused on Lung Cancer Diagnosis and Treatment (9 papers), Global Cancer Incidence and Screening (8 papers) and Renal Transplantation Outcomes and Treatments (3 papers). Vidit Munshi collaborates with scholars based in United States, Netherlands and Canada. Vidit Munshi's co-authors include Chung Yin Kong, Pamela M. McMahon, Jihyoun Jeon, Harry J. de Koning, Rafael Meza, Eric J. Feuer, Summer S. Han, Kevin ten Haaf, Sylvia K. Plevritis and Sung Eun Choi and has published in prestigious journals such as Circulation, Blood and Annals of Internal Medicine.

In The Last Decade

Vidit Munshi

19 papers receiving 905 citations

Hit Papers

Benefits and Harms of Computed Tomography Lung Cancer Scr... 2013 2026 2017 2021 2013 100 200 300

Peers

Vidit Munshi
Daniel J. Crona United States
Song Ren United States
Tochukwu Okwuosa United States
Dana J. Nickens United States
Thomas Morris United Kingdom
Young‐Woong Won South Korea
Vidit Munshi
Citations per year, relative to Vidit Munshi Vidit Munshi (= 1×) peers Olivier Huillard

Countries citing papers authored by Vidit Munshi

Since Specialization
Citations

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

Fields of papers citing papers by Vidit Munshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vidit Munshi

This figure shows the co-authorship network connecting the top 25 collaborators of Vidit Munshi. A scholar is included among the top collaborators of Vidit Munshi 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 Vidit Munshi. Vidit Munshi 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.
Toumazis, Iakovos, Pianpian Cao, Mehrad Bastani, et al.. (2023). Risk Model–Based Lung Cancer Screening. Annals of Internal Medicine. 176(3). 320–332. 29 indexed citations
2.
Munshi, Vidit, Rebecca B. Perkins, Stephen Sy, & Jane J. Kim. (2021). Cost-effectiveness analysis of the 2019 American Society for Colposcopy and Cervical Pathology Risk-Based Management Consensus Guidelines for the management of abnormal cervical cancer screening tests and cancer precursors. American Journal of Obstetrics and Gynecology. 226(2). 228.e1–228.e9. 8 indexed citations
3.
Toumazis, Iakovos, Pianpian Cao, Mehrad Bastani, et al.. (2021). Cost-effectiveness Evaluation of the 2021 US Preventive Services Task Force Recommendation for Lung Cancer Screening. JAMA Oncology. 7(12). 1833–1833. 39 indexed citations
4.
Munshi, Vidit, et al.. (2021). Use of Imputation and Decision Modeling to Improve Diagnosis and Management of Patients at Risk for New-Onset Diabetes After Transplantation. Annals of Transplantation. 26. e928624–e928624. 3 indexed citations
5.
Munshi, Vidit, Soroush Saghafian, Curtiss B. Cook, K. Tuesday Werner, & Harini A. Chakkera. (2020). Comparison of post-transplantation diabetes mellitus incidence and risk factors between kidney and liver transplantation patients. PLoS ONE. 15(1). e0226873–e0226873. 22 indexed citations
6.
Munshi, Vidit, Soroush Saghafian, Curtiss B. Cook, et al.. (2019). Incidence, Risk Factors, and Trends for Postheart Transplantation Diabetes Mellitus. The American Journal of Cardiology. 125(3). 436–440. 12 indexed citations
7.
Han, Summer S., Kevin ten Haaf, William D. Hazelton, et al.. (2017). The impact of overdiagnosis on the selection of efficient lung cancer screening strategies. International Journal of Cancer. 140(11). 2436–2443. 33 indexed citations
8.
Munshi, Vidit, Gavin Yamey, & Stéphane Verguet. (2016). Trends In State-Level Child Mortality, Maternal Mortality, And Fertility Rates In India. Health Affairs. 35(10). 1759–1763. 8 indexed citations
9.
Levy, Douglas E., Vidit Munshi, Jeffrey M. Ashburner, et al.. (2015). Health IT-assisted population-based preventive cancer screening: a cost analysis.. PubMed. 21(12). 885–91. 2 indexed citations
10.
Lowry, Kathryn P., G. Scott Gazelle, Colden Johanson, et al.. (2015). Personalizing annual lung cancer screening for patients with chronic obstructive pulmonary disease: A decision analysis. Cancer. 121(10). 1556–1562. 21 indexed citations
11.
McMahon, Pamela M., Rafael Meza, Sylvia K. Plevritis, et al.. (2014). Comparing Benefits from Many Possible Computed Tomography Lung Cancer Screening Programs: Extrapolating from the National Lung Screening Trial Using Comparative Modeling. PLoS ONE. 9(6). e99978–e99978. 42 indexed citations
12.
Goehler, Alexander, Pamela M. McMahon, Heidi Lumish, et al.. (2014). Cost-Effectiveness of Follow-Up of Pulmonary Nodules Incidentally Detected on Cardiac Computed Tomographic Angiography in Patients With Suspected Coronary Artery Disease. Circulation. 130(8). 668–675. 29 indexed citations
13.
Meza, Rafael, Kevin ten Haaf, Chung Yin Kong, et al.. (2014). Comparative analysis of 5 lung cancer natural history and screening models that reproduce outcomes of the NLST and PLCO trials. Cancer. 120(11). 1713–1724. 66 indexed citations
14.
Munshi, Vidit & Pamela M. McMahon. (2013). Importance of Smoking Cessation in a Lung Cancer Screening Program. Current Surgery Reports. 1(4). 242–248. 3 indexed citations
15.
Koning, Harry J. de, Rafael Meza, Sylvia K. Plevritis, et al.. (2013). Benefits and Harms of Computed Tomography Lung Cancer Screening Strategies: A Comparative Modeling Study for the U.S. Preventive Services Task Force. Annals of Internal Medicine. 160(5). 311–320. 348 indexed citations breakdown →
16.
Shammas, Masood A., Paola Neri, Hemanta Koley, et al.. (2006). Specific killing of multiple myeloma cells by (-)-epigallocatechin-3-gallate extracted from green tea: biologic activity and therapeutic implications. Blood. 108(8). 2804–2810. 147 indexed citations
17.
Shammas, Masood A., Robert C. Bertheau, Vidit Munshi, et al.. (2006). Critical Role of Recombinase (HsRAD51) in Genetic Instability in Multiple Myeloma.. Blood. 108(11). 2078–2078. 1 indexed citations
18.
Tassone, Pierfrancesco, Paola Neri, Jeffery L. Kutok, et al.. (2005). A SCID-hu in vivo model of human Waldenstrom macroglobulinemia. Blood. 106(4). 1341–1345. 29 indexed citations
19.
Tassone, Pierfrancesco, Paola Neri, Daniel R. Carrasco, et al.. (2005). A clinically relevant SCID-hu in vivo model of human multiple myeloma. Blood. 106(2). 713–716. 87 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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