Abhimanyu Sharma

37 total papers · 509 total citations
20 papers, 290 citations indexed

About

Abhimanyu Sharma is a scholar working on Pharmaceutical Science, Cell Biology and Analytical Chemistry. According to data from OpenAlex, Abhimanyu Sharma has authored 20 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pharmaceutical Science, 4 papers in Cell Biology and 4 papers in Analytical Chemistry. Recurrent topics in Abhimanyu Sharma's work include Drug Solubulity and Delivery Systems (5 papers), Analytical Methods in Pharmaceuticals (4 papers) and Cellular transport and secretion (3 papers). Abhimanyu Sharma is often cited by papers focused on Drug Solubulity and Delivery Systems (5 papers), Analytical Methods in Pharmaceuticals (4 papers) and Cellular transport and secretion (3 papers). Abhimanyu Sharma collaborates with scholars based in United States and India. Abhimanyu Sharma's co-authors include Michael Vershinin, Saveez Saffarian, Wesley I. Sundquist, Henry C. Nguyen, John McCullough, Adam Frost, Frank R. Moss, Janet Iwasa, Nathaniel Talledge and Cyril C. Curtain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Abhimanyu Sharma

18 papers receiving 276 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Abhimanyu Sharma 91 74 60 52 49 20 290
Sarah C. Fankhauser 33 0.4× 11 0.1× 21 0.3× 6 0.1× 13 0.3× 19 226
Chris Jones 83 0.9× 8 0.1× 23 0.4× 3 0.1× 25 0.5× 36 311
G. W. T. H. Fleming 62 0.7× 11 0.1× 37 0.6× 8 0.2× 20 0.4× 26 319
John Kelly 19 0.2× 9 0.1× 12 0.2× 19 0.4× 17 0.3× 13 287
S Ebrahim 160 1.8× 22 0.3× 7 0.1× 4 0.1× 20 0.4× 22 330
Malissa Kay Shaw 46 0.5× 3 0.0× 13 0.2× 4 0.1× 27 0.6× 19 277
Meghan Elisabeth Healy 29 0.3× 5 0.1× 16 0.3× 14 0.3× 46 0.9× 19 310
Mónica Franch 180 2.0× 19 0.3× 12 0.2× 53 1.1× 26 320
Cameron Goldbeck 54 0.6× 8 0.1× 21 0.3× 3 0.1× 17 0.3× 25 262
Dinorah Castro de Guerra 35 0.4× 3 0.0× 14 0.2× 6 0.1× 21 0.4× 23 295

Countries citing papers authored by Abhimanyu Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Abhimanyu Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhimanyu Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Abhimanyu Sharma. A scholar is included among the top collaborators of Abhimanyu Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abhimanyu Sharma. Abhimanyu Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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