Jashvant D. Unadkat
- Pharmacology top 0.02%
- Pharmacogenetics and Drug Metabolism 53
- Oncology top 0.2%
- Drug Transport and Resistance Mechanisms 137
- Transplantation top 0.5%
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- Pharmacological Effects and Toxicity Studies 85
- Physiology top 0.2%
- Adenosine and Purinergic Signaling 24
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- HIV/AIDS drug development and treatment 51
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- Pregnancy and Medication Impact 45
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- Pregnancy and preeclampsia studies 29
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- HIV Research and Treatment 24
- Co-authors
- Qingcheng MaoBhagwat PrasadAnshul GuptaYurong LaiPeng HsiaoKenneth E. ThummelGabriela I. Patilea‐VranaMary F. Hébert
- Cited by
- PharmacologyOncologyTransplantation
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (5 papers)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Jashvant D. Unadkat
303 papers receiving 12.3k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Pharmacology 2.7k
- Oncology 5.5k
- Transplantation 521
- Pediatrics, Perinatology and Child Health 3.8k
- Physiology 728
Countries citing papers authored by Jashvant D. Unadkat
This map shows the geographic impact of Jashvant D. Unadkat'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 Jashvant D. Unadkat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jashvant D. Unadkat more than expected).
Fields of papers citing papers by Jashvant D. Unadkat
This network shows the impact of papers produced by Jashvant D. Unadkat. 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 Jashvant D. Unadkat. The network helps show where Jashvant D. Unadkat may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jashvant D. Unadkat, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 15 | |
| 9 | 2020 | 27 | |
| 10 | 2019 | 50 | |
| 11 | 2019 | 60 | |
| 12 | 2017 | 32 | |
| 13 | 2016 | 11 | |
| 14 | 2015 | 25 | |
| 15 | 2013 | 18 | |
| 16 | 2013 | 54 | |
| 17 | 2008 | 106 | |
| 18 | 1997 | 42 | |
| 19 | 1994 | 36 | |
| 20 | 1990 | 1 |
About Jashvant D. Unadkat
Jashvant D. Unadkat is a scholar working on Transplantation, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 309 papers that have together received 12.5k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (137 papers), Pharmacological Effects and Toxicity Studies (85 papers), Pharmacogenetics and Drug Metabolism (53 papers), HIV/AIDS drug development and treatment (51 papers), Pregnancy and Medication Impact (45 papers), Pregnancy and preeclampsia studies (29 papers), HIV Research and Treatment (24 papers) and Adenosine and Purinergic Signaling (24 papers). The work is most often cited by research in Pharmacology (2.7k citations), Oncology (5.5k citations) and Transplantation (521 citations). Jashvant D. Unadkat has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Qingcheng Mao, Bhagwat Prasad, Anshul Gupta, Yurong Lai, Peng Hsiao, Kenneth E. Thummel, Gabriela I. Patilea‐Vrana, Mary F. Hébert, Shivakumar D. Patil and Christopher J. Endres. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.