Punit Yadav
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Renal Diseases and Glomerulopathies
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 7
-
- Multiple Myeloma Research and Treatments 8
- Co-authors
- Paul Cockwell (10 shared papers)Mark Cook (5 shared papers)Paul W. Sanders (2 shared papers)Mark Jesky (5 shared papers)Stephanie Stringer (5 shared papers)Nelson Leung (2 shared papers)Charles J. Ferro (4 shared papers)Khai Ping Ng (3 shared papers)
- Journals
- PLoS ONE (3 papers)BMC Nephrology (2 papers)British Journal of Haematology (1 paper)Journal of Renal Care (1 paper)Blood Cancer Journal (1 paper)
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Punit Yadav
17 papers receiving 292 citations
Peers
Comparison fields: 5 of 55
- Nephrology 86
- Hematology 131
- Genetics 45
- Immunology and Allergy 18
- Molecular Biology 139
Countries citing papers authored by Punit Yadav
This map shows the geographic impact of Punit Yadav'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 Punit Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Punit Yadav more than expected).
Fields of papers citing papers by Punit Yadav
This network shows the impact of papers produced by Punit Yadav. 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 Punit Yadav. The network helps show where Punit Yadav may publish in the future.
Co-authors
The 25 scholars most cited alongside Punit Yadav, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2016 | 53 | |
| 3 | 2020 | 30 | |
| 4 | 2014 | 26 | |
| 5 | 2018 | 25 | |
| 6 | 2014 | 23 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 16 | |
| 9 | 2017 | 12 | |
| 10 | 2017 | 9 | |
| 11 | 2018 | 6 | |
| 12 | 2017 | 4 | |
| 13 | 2015 | 2 | |
| 14 | 2015 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2011 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 |
About Punit Yadav
Punit Yadav is a scholar working on Molecular Biology, Hematology, Nephrology, Genetics and Oncology, having authored 18 papers that have together received 299 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (8 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Mast cells and histamine (1 paper) and Nosocomial Infections in ICU (1 paper). The work is most often cited by research in Nephrology (86 citations), Hematology (131 citations), Genetics (45 citations), Immunology and Allergy (18 citations) and Molecular Biology (139 citations). Punit Yadav has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Paul Cockwell, Mark Cook, Paul W. Sanders, Mark Jesky, Stephanie Stringer, Nelson Leung, Charles J. Ferro, Khai Ping Ng, Mark T. Drayson and Mary Ann Dutton. Their work appears in journals such as PLoS ONE, BMC Nephrology, British Journal of Haematology, Journal of Renal Care and Blood Cancer Journal.
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.