Catherine G.N. Sharma

30 total papers · 790 total citations
12 papers, 620 citations indexed

About

Catherine G.N. Sharma is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Catherine G.N. Sharma has authored 12 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Catherine G.N. Sharma's work include Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Breast Cancer Treatment Studies (2 papers). Catherine G.N. Sharma is often cited by papers focused on Estrogen and related hormone effects (6 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Breast Cancer Treatment Studies (2 papers). Catherine G.N. Sharma collaborates with scholars based in United States, United Kingdom and Germany. Catherine G.N. Sharma's co-authors include V. Craig Jordan, Ramona F. Swaby, Surojeet Sengupta, V. Craig Jordan, Michael M. Kessels, Ji‐Long Chen, Mark A. Stamnes, Raymond V. Fucini, Eric A. Ariazi and Helen R. Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Biology of the Cell and Archives of Biochemistry and Biophysics.

In The Last Decade

Catherine G.N. Sharma

11 papers receiving 607 citations

Author Peers

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

Author						Papers	Cites
Catherine G.N. Sharma	349	233	164	141	97	12	620
Xiaoguo H. Zhan	337 1.0×	197 0.8×	133 0.8×	48 0.3×	95 1.0×	9	714
Bianca Gomez	432 1.2×	221 0.9×	304 1.9×	141 1.0×	168 1.7×	7	788
Shalini Murthy	400 1.1×	189 0.8×	178 1.1×	49 0.3×	133 1.4×	14	626
Jason Beliakoff	454 1.3×	158 0.7×	86 0.5×	50 0.4×	63 0.6×	11	595
Richard Y. Lee	393 1.1×	253 1.1×	187 1.1×	50 0.4×	160 1.6×	6	613
Hing-Yat Peter Lam	305 0.9×	211 0.9×	124 0.8×	47 0.3×	77 0.8×	18	641
Emma McCullagh	327 0.9×	179 0.8×	182 1.1×	157 1.1×	131 1.4×	10	644
Ikhlas Ahmed	393 1.1×	206 0.9×	111 0.7×	63 0.4×	61 0.6×	12	697
Α. Φωτίου	339 1.0×	99 0.4×	208 1.3×	114 0.8×	97 1.0×	23	757
Long G. Wang	464 1.3×	66 0.3×	246 1.5×	96 0.7×	73 0.8×	12	764

Countries citing papers authored by Catherine G.N. Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Catherine G.N. Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine G.N. Sharma

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