Ankit Sharma
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
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- Renal Transplantation Outcomes and Treatments 8
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- Additive Manufacturing and 3D Printing Technologies 9
- Co-authors
- Germaine Wong (9 shared papers)Guido C. Paesen (1 shared paper)Olga Lissina (1 shared paper)Anthony C. Willis (1 shared paper)Miles A. Nunn (1 shared paper)Jeremy Robert Chapman (3 shared papers)Jitendra Singh Nigam (5 shared papers)Jonathan C. Craig (5 shared papers)
- Journals
- Journal of Allergy and Clinical Immunology (4 papers)Clinical & Experimental Allergy (1 paper)Frontiers in Immunology (1 paper)JCI Insight (1 paper)Rapid Prototyping Journal (1 paper)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Ankit Sharma
86 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 137
- Transplantation 170
- Parasitology 78
- Nephrology 79
- Immunology 168
- Insect Science 83
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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 191 | |
| 2 | 2021 | 92 | |
| 3 | 2018 | 91 | |
| 4 | 2020 | 80 | |
| 5 | 2015 | 60 | |
| 6 | 2023 | 38 | |
| 7 | 2014 | 37 | |
| 8 | 2020 | 30 | |
| 9 | 2014 | 27 | |
| 10 | 2018 | 25 | |
| 11 | 2023 | 22 | |
| 12 | 2014 | 18 | |
| 13 | 2019 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2022 | 14 | |
| 19 | 2013 | 13 | |
| 20 | 2019 | 13 |
About Ankit Sharma
Ankit Sharma is a scholar working on Transplantation, Automotive Engineering, Epidemiology, Immunology and Surgery, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (9 papers), Renal Transplantation Outcomes and Treatments (8 papers), 3D Printing in Biomedical Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (4 papers), Bone Tissue Engineering Materials (3 papers), Ferroelectric and Piezoelectric Materials (3 papers) and Mast cells and histamine (3 papers). The work is most often cited by research in Transplantation (170 citations), Parasitology (78 citations), Nephrology (79 citations), Immunology (168 citations) and Insect Science (83 citations). Ankit Sharma has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Germaine Wong, Guido C. Paesen, Olga Lissina, Anthony C. Willis, Miles A. Nunn, Jeremy Robert Chapman, Jitendra Singh Nigam, Jonathan C. Craig, Wai H. Lim and Rajani Kanth Vangala. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Clinical & Experimental Allergy, Frontiers in Immunology, JCI Insight and Rapid Prototyping 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.