Ankit Sharma

1.6k citations
88 papers · 893 indexed · h-index 15

Impact in

Papers in

Ankit Sharma

73 papers receiving 872 citations

Peers

Ankit Sharma
Comparison fields: 5 of 130
  • Transplantation 161
  • Nephrology 92
  • Parasitology 73
  • Immunology 170
  • Insect Science 79
Replace A P Dalmasso with:
A P Dalmasso United States
Edith M. Sampson United States
Daisuke Iwaki Japan
P. Morel Switzerland
Sung Hwan Park South Korea
Frank A. Schildberg Germany
Charles W. Bradley United States
Piotr Fiedor Poland
David F. LaRosa United States
Linna Liu China
Ankit Sharma relative to A P Dalmasso United States A P Dalmasso's profile →
Citations per field
00.5×9.8×
A P Dalmasso · 1×
Citations per year

Countries citing papers authored by Ankit Sharma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ankit Sharma Line = papers co-authored together Ankit Sharma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005172
2 202181
3 201879
4 202072
5 201553
6 201436
7 202331
8 202029
9 201426
10 201822
11 201418
12 201917
13 201615
14 202314
15 202014
16 202313
17 201912
18 202412
19 201311
20 201611

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.

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