Amy Sharma

501 citations
18 papers · 351 · h-index 10

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Adverse Reactions
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Immune Cell Function and Interaction 2
    • Mast cells and histamine 2
    • Drug-Induced Adverse Reactions 4
    • Drug-Induced Hepatotoxicity and Protection 2

Amy Sharma

14 papers receiving 344 citations

Peers

Amy Sharma
Comparison fields: 5 of 64
  • Pharmacology 117
  • Pharmacology 75
  • Dermatology 27
  • Hepatology 22
  • Virology 13
Replace Caroline J. Earnshaw with:
Caroline J. Earnshaw United Kingdom
Manal Monshi United Kingdom
Arun Tailor United Kingdom
Sylvie Quaranta France
Bas Thijssen Netherlands
Archie Thurston United States
Masataka Katashima Japan
Zhaofang Bai China
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Xiao-E Lou China
Amy Sharma relative to Caroline J. Earnshaw United Kingdom Caroline J. Earnshaw's profile →
Citations per field
00.5×1.5×1.9×
Caroline J. Earnshaw · 1×
Citations per year

Countries citing papers authored by Amy Sharma

Since Specialization
Citations

This map shows the geographic impact of Amy 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 Amy Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Sharma more than expected).

Fields of papers citing papers by Amy Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy 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 Amy Sharma. The network helps show where Amy Sharma may publish in the future.

Co-authors

The 25 scholars most cited alongside Amy 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 Amy Sharma Line = papers co-authored together Amy Sharma links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201367
2 201251
3 201248
4 201044
5 201335
6 201322
7 201321
8 201821
9 201512
10 202211
11 20249
12 20194
13 20224
14 20252
15 20150
16 20190
17 20250
18 20240

About Amy Sharma

Amy Sharma is a scholar working on Immunology, Pharmacology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 18 papers that have together received 351 indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers), Urticaria and Related Conditions (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Pharmacology (117 citations), Pharmacology (75 citations), Dermatology (27 citations), Hepatology (22 citations) and Virology (13 citations). Amy Sharma has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Jack Uetrecht, Maria Novalen, Tadatoshi Tanino, Klaus Klarskov, Xiaochu Zhang, Yan Li, M A Hayes, John M. Greally, Jayesh Mehta and Christoph Heuck. Their work appears in journals such as Chemical Research in Toxicology, Toxicological Sciences, Archives of Toxicology, Drug Metabolism Reviews and Advances in pharmacology.

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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