Mona D. Doshi

3.6k citations
76 papers · 2.4k indexed · h-index 25

Mona D. Doshi

74 papers receiving 2.4k citations

Peers

Mona D. Doshi
Comparison fields: 5 of 90
  • Transplantation 1.3k
  • Nephrology 753
  • Public Health, Environmental and Occupational Health 979
  • Surgery 1.2k
  • Hepatology 208
Replace Sri G. Yarlagadda with:
Sri G. Yarlagadda United States
Isaac E. Hall United States
Francis L. Weng United States
P S Veitch United Kingdom
Joke I. Roodnat Netherlands
Christoph Troppmann United States
Tarek Alhamad United States
Chris Callaghan United Kingdom
Jane C. Tan United States
Leroy Storsley Canada
Mona D. Doshi relative to Sri G. Yarlagadda United States Sri G. Yarlagadda's profile →
Citations per field
00.5×2.6×
Sri G. Yarlagadda · 1×
Citations per year

Countries citing papers authored by Mona D. Doshi

Since Specialization
Citations

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

Fields of papers citing papers by Mona D. Doshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona D. Doshi. 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 Mona D. Doshi. The network helps show where Mona D. Doshi may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mona D. Doshi, 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 Mona D. Doshi Line = papers co-authored together Mona D. Doshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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15 20204
16 201810
17 20188
18 201858
19
The Elements of Benefit-sharing for REDD+ in Kenya: A Legal Perspective
20162
20 2012132

About Mona D. Doshi

Mona D. Doshi is a scholar working on Transplantation, Nephrology, Public Health, Environmental and Occupational Health, Psychiatry and Mental health and Surgery, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (56 papers), Organ Donation and Transplantation (35 papers), Organ Transplantation Techniques and Outcomes (27 papers), Renal and Vascular Pathologies (18 papers), Neurological Complications and Syndromes (11 papers), Acute Kidney Injury Research (10 papers), Chronic Kidney Disease and Diabetes (7 papers) and Dialysis and Renal Disease Management (5 papers). The work is most often cited by research in Transplantation (1.3k citations), Nephrology (753 citations), Public Health, Environmental and Occupational Health (979 citations), Surgery (1.2k citations) and Hepatology (208 citations). Mona D. Doshi has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Chirag R. Parikh, Peter P. Reese, Isaac E. Hall, Amit X. Garg, Steven G. Coca, Sri G. Yarlagadda, Heather Thiessen‐Philbrook, Emilio D. Poggio, Francis L. Weng and Bernd Schröppel. Their work appears in journals such as Transplantation, American Journal of Transplantation, Clinical Transplantation, Clinical Journal of the American Society of Nephrology and Journal of the American Society of Nephrology.

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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