Vi T. Tang

46 total papers · 639 total citations
19 papers, 400 citations indexed

About

Vi T. Tang is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Vi T. Tang has authored 19 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Vi T. Tang's work include Cellular transport and secretion (6 papers), CRISPR and Genetic Engineering (5 papers) and Cardiomyopathy and Myosin Studies (4 papers). Vi T. Tang is often cited by papers focused on Cellular transport and secretion (6 papers), CRISPR and Genetic Engineering (5 papers) and Cardiomyopathy and Myosin Studies (4 papers). Vi T. Tang collaborates with scholars based in United States, China and France. Vi T. Tang's co-authors include David Ginsburg, Adam Helms, Sharlene M. Day, Brian T. Emmer, Jaime Yob, Francis D. Pagani, Héctor H. Valdivia, Francisco Alvarado, Mark W. Russell and Xavier Remesar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Vi T. Tang

18 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
Vi T. Tang	195	154	78	64	44	19	400
J Okolicány	239 1.2×	110 0.7×	70 0.9×	37 0.6×	25 0.6×	21	429
Gang Cheng	238 1.2×	62 0.4×	57 0.7×	43 0.7×	47 1.1×	19	373
Debra J. McAndrew	139 0.7×	177 1.1×	67 0.9×	33 0.5×	18 0.4×	20	385
David R. Bielefeld	227 1.2×	128 0.8×	83 1.1×	32 0.5×	48 1.1×	15	412
Patrick J. Heizer	240 1.2×	131 0.9×	79 1.0×	52 0.8×	26 0.6×	18	439
PL Weissberg	269 1.4×	110 0.7×	24 0.3×	44 0.7×	50 1.1×	19	431
Jiarong Tang	131 0.7×	123 0.8×	56 0.7×	63 1.0×	16 0.4×	18	371
Clémence Merlen	254 1.3×	118 0.8×	35 0.4×	43 0.7×	13 0.3×	26	413
Sarah Weske	231 1.2×	47 0.3×	58 0.7×	68 1.1×	19 0.4×	13	345
Bernard Abrenica	270 1.4×	99 0.6×	27 0.3×	33 0.5×	21 0.5×	19	445

Countries citing papers authored by Vi T. Tang

Since Specialization

Citations

This map shows the geographic impact of Vi T. Tang'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 Vi T. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vi T. Tang more than expected).

Fields of papers citing papers by Vi T. Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vi T. Tang. 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 Vi T. Tang. The network helps show where Vi T. Tang may publish in the future.

Co-authorship network of co-authors of Vi T. Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Vi T. Tang. A scholar is included among the top collaborators of Vi T. Tang 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 Vi T. Tang. Vi T. Tang 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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