Ankit Sharma
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
Papers in ⓘ
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- Renal Transplantation Outcomes and Treatments 10
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- Renal Diseases and Glomerulopathies 5
- Co-authors
- Germaine Wong (9 shared papers)Miles A. Nunn (1 shared paper)Anthony C. Willis (1 shared paper)Adriana Patrícia (1 shared paper)Olga Lissina (1 shared paper)Guido C. Paesen (1 shared paper)Jeremy R. Chapman (3 shared papers)Jitendra Singh Nigam (5 shared papers)
- Journals
- Journal of Allergy and Clinical Immunology (4 papers)HLA (2 papers)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)American Journal of Transplantation (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ankit Sharma
73 papers receiving 872 citations
Peers
Comparison fields: 5 of 130
- Transplantation 161
- Nephrology 92
- Parasitology 73
- Immunology 170
- Insect Science 79
Countries citing papers authored by Ankit Sharma
This map shows the geographic impact of Ankit Sharma'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 Ankit Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ankit Sharma more than expected).
Fields of papers citing papers by Ankit Sharma
This network shows the impact of papers produced by Ankit Sharma. 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 Ankit Sharma. The network helps show where Ankit Sharma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ankit Sharma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 172 | |
| 2 | 2021 | 81 | |
| 3 | 2018 | 79 | |
| 4 | 2020 | 72 | |
| 5 | 2015 | 53 | |
| 6 | 2014 | 36 | |
| 7 | 2023 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2014 | 26 | |
| 10 | 2018 | 22 | |
| 11 | 2014 | 18 | |
| 12 | 2019 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 13 | |
| 17 | 2019 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2013 | 11 | |
| 20 | 2016 | 11 |
About Ankit Sharma
Ankit Sharma is a scholar working on Transplantation, Nephrology, Immunology and Allergy, Automotive Engineering and Immunology, having authored 88 papers that have together received 893 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Renal Diseases and Glomerulopathies (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Bioinformatics and Genomic Networks (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Food Allergy and Anaphylaxis Research (4 papers), Computational Drug Discovery Methods (4 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Transplantation (161 citations), Nephrology (92 citations), Parasitology (73 citations), Immunology (170 citations) and Insect Science (79 citations). Ankit Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Germaine Wong, Miles A. Nunn, Anthony C. Willis, Adriana Patrícia, Olga Lissina, Guido C. Paesen, Jeremy R. Chapman, Jitendra Singh Nigam, Wai H. Lim and Jonathan C. Craig. Their work appears in journals such as Journal of Allergy and Clinical Immunology, HLA, Scientific Reports, Frontiers in Immunology and American Journal of Transplantation.
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.