Eesha Sharma

19 total papers · 1.4k total citations
8 papers, 667 citations indexed

About

Eesha Sharma is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Eesha Sharma has authored 8 papers receiving a total of 667 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Public Health, Environmental and Occupational Health and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Eesha Sharma's work include RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Research and Splicing (2 papers). Eesha Sharma is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA Research and Splicing (2 papers). Eesha Sharma collaborates with scholars based in Canada, United States and Sweden. Eesha Sharma's co-authors include Benjamin J. Blencowe, Dave O’Hanlon, Ashwin Ramachandran, Diego A. Huyke, Niaz Banaei, Malaya K. Sahoo, Benjamin A. Pinsky, Juan G. Santiago, ChunHong Huang and M R Lerner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Eesha Sharma

7 papers receiving 656 citations

Author Peers

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

Author						Papers	Cites
Eesha Sharma	542	152	114	94	60	8	667
Jessy Etienne	512 0.9×	265 1.7×	91 0.8×	18 0.2×	21 0.3×	8	747
Marco Herrera‐Barrera	584 1.1×	120 0.8×	53 0.5×	25 0.3×	27 0.5×	15	791
Lynn Huyck	290 0.5×	58 0.4×	59 0.5×	28 0.3×	58 1.0×	9	711
Yufei Shan	277 0.5×	124 0.8×	76 0.7×	62 0.7×	30 0.5×	19	685
Kessler McCoy-Simandle	328 0.6×	55 0.4×	110 1.0×	40 0.4×	27 0.5×	11	565
Thomas Hauling	389 0.7×	32 0.2×	52 0.5×	39 0.4×	123 2.0×	10	662
Angeles Estellés	444 0.8×	36 0.2×	51 0.4×	104 1.1×	41 0.7×	13	636
Monika Herzog	354 0.7×	66 0.4×	21 0.2×	53 0.6×	59 1.0×	12	789
Michelle Richner	457 0.8×	45 0.3×	84 0.7×	51 0.5×	223 3.7×	8	595
Paula D. Ladd	450 0.8×	205 1.3×	74 0.6×	85 0.9×	124 2.1×	12	574

Countries citing papers authored by Eesha Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Eesha Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eesha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Eesha Sharma. A scholar is included among the top collaborators of Eesha 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 Eesha Sharma. Eesha 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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