Vivek Pawar

658 total citations
29 papers, 411 citations indexed

About

Vivek Pawar is a scholar working on Oncology, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Vivek Pawar has authored 29 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Epidemiology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Vivek Pawar's work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Economic and Financial Impacts of Cancer (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Vivek Pawar is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (4 papers), Economic and Financial Impacts of Cancer (4 papers) and Lung Cancer Treatments and Mutations (4 papers). Vivek Pawar collaborates with scholars based in United States, India and Germany. Vivek Pawar's co-authors include Milton C. Weinstein, Douglas C.A. Taylor, Lisa J. McGarry, Jaime Rubin, Gary L. Davis, James C. Capretta, Zobair M. Younossi, Michael J. O’Grady, Xinke Zhang and Michael J. Smith and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Hepatology.

In The Last Decade

Vivek Pawar

28 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vivek Pawar United States 10 112 110 90 72 54 29 411
Sheila D. Rustgi United States 12 111 1.0× 93 0.8× 50 0.6× 102 1.4× 113 2.1× 47 530
Caterina Mele Italy 7 55 0.5× 38 0.3× 78 0.9× 77 1.1× 28 0.5× 20 386
Mathieu Boulin France 17 123 1.1× 102 0.9× 320 3.6× 140 1.9× 48 0.9× 57 676
Mary Lo United States 10 70 0.6× 87 0.8× 72 0.8× 78 1.1× 23 0.4× 18 294
Yasuhiro Hagiwara Japan 12 64 0.6× 123 1.1× 42 0.5× 182 2.5× 50 0.9× 51 455
Viktor Chirikov United States 14 203 1.8× 66 0.6× 110 1.2× 66 0.9× 60 1.1× 59 482
Michael Kerger Australia 10 324 2.9× 217 2.0× 78 0.9× 37 0.5× 8 0.1× 19 666
Marco M. E. Vogel Germany 12 39 0.3× 175 1.6× 13 0.1× 101 1.4× 11 0.2× 32 420
D.J. Hughes United Kingdom 13 66 0.6× 136 1.2× 56 0.6× 160 2.2× 24 0.4× 40 502
Alexander S. Qian United States 10 70 0.6× 52 0.5× 23 0.3× 68 0.9× 47 0.9× 44 329

Countries citing papers authored by Vivek Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Vivek Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vivek Pawar

This figure shows the co-authorship network connecting the top 25 collaborators of Vivek Pawar. A scholar is included among the top collaborators of Vivek Pawar 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 Vivek Pawar. Vivek Pawar 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.
Pawar, Vivek, et al.. (2025). Ni-Co doped TiO2 catalyst for efficient photocatalytic degradation of Malachite Green under UV and direct sunlight. Environmental Science and Pollution Research. 32(49). 28093–28108. 2 indexed citations
2.
Zhang, Xinke, et al.. (2023). Development of a Conceptual Model of the Patient Experience in Small Cell Lung Cancer: A Qualitative Interview Study. Oncology and Therapy. 11(2). 231–244. 4 indexed citations
3.
Grivas, Petros, et al.. (2023). Preferences for First-Line Treatment of Advanced Urothelial Carcinoma among US Practicing Oncologists and Patients. Future Oncology. 19(5). 369–383. 8 indexed citations
4.
Pawar, Vivek, et al.. (2023). Harvestify - Crop Disease Detection and Fertilizer Suggestion using CNN. International Journal for Research in Applied Science and Engineering Technology. 11(4). 3596–3604. 1 indexed citations
5.
6.
Pawar, Vivek, Ashraf Albrakati, Mohammed E. Sayed, et al.. (2021). Glucose and Serum Deprivation Led to Altered Proliferation, Differentiation Potential and AMPK Activation in Stem Cells from Human Deciduous Tooth. Journal of Personalized Medicine. 12(1). 18–18. 3 indexed citations
7.
Grivas, Petros, Caroline Huber, Vivek Pawar, et al.. (2021). Management of Patients With Advanced Urothelial Carcinoma in an Evolving Treatment Landscape: A Qualitative Study of Provider Perspectives of First-Line Therapies. Clinical Genitourinary Cancer. 20(2). 114–122. 5 indexed citations
8.
Kongnakorn, Thitima, Grammati Sarri, Andreas Freitag, et al.. (2021). Modeling Challenges in Cost-Effectiveness Analysis of First-Line Immuno-Oncology Therapies in Non-small Cell Lung Cancer: A Systematic Literature Review. PharmacoEconomics. 40(2). 183–201. 5 indexed citations
9.
Nadler, Eric, Bhakti Arondekar, Kathleen M. Aguilar, et al.. (2020). Treatment patterns and clinical outcomes in patients with advanced non-small cell lung cancer initiating first-line treatment in the US community oncology setting: a real-world retrospective observational study. Journal of Cancer Research and Clinical Oncology. 147(3). 671–690. 31 indexed citations
10.
Lundy, J. Jason, et al.. (2020). Collection of Post-treatment PRO Data in Oncology Clinical Trials. Therapeutic Innovation & Regulatory Science. 55(1). 111–117. 5 indexed citations
11.
12.
Taylor, Douglas C.A., et al.. (2011). Incorporating Calibrated Model Parameters into Sensitivity Analyses. PharmacoEconomics. 30(2). 119–126. 19 indexed citations
13.
McGarry, Lisa J., Vivek Pawar, Jaime Rubin, et al.. (2011). Economic model of a birth cohort screening program for hepatitis C virus. Hepatology. 55(5). 1344–1355. 92 indexed citations
14.
Taylor, Douglas C.A., et al.. (2011). Calibrating Longitudinal Models to Cross-Sectional Data: The Effect of Temporal Changes in Health Practices. Value in Health. 14(5). 700–704. 6 indexed citations
15.
Taylor, Douglas C.A., et al.. (2010). Methods of Model Calibration. PharmacoEconomics. 28(11). 995–1000. 24 indexed citations
16.
Mody, Reema, Iftekhar Kalsekar, Jan Kavookjian, et al.. (2007). Economic impact of cardiovascular co-morbidity in patients with type 2 diabetes. Journal of Diabetes and its Complications. 21(2). 75–83. 24 indexed citations
17.
18.
Tessaro, Irene, et al.. (2006). Peer Reviewed: Knowledge, Barriers, and Predictors of Colorectal Cancer Screening in an Appalachian Church Population. Preventing Chronic Disease. 3(4). 4 indexed citations
19.
Goodrich, David E., et al.. (2006). Correlates of Physical Activity in a Community Sample of Older Adults in Appalachia. Journal of Aging and Physical Activity. 14(4). 423–438. 15 indexed citations
20.
Pawar, Vivek & Michael J. Smith. (2006). Asthma-related healthcare services utilization by African–Americans enrolled in West Virginia Medicaid. Respiratory Medicine. 100(9). 1579–1587. 9 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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