Stephen Tang

33 total papers · 725 total citations
13 papers, 236 citations indexed

About

Stephen Tang is a scholar working on Molecular Biology, Genetics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stephen Tang has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stephen Tang's work include CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Stephen Tang is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (4 papers) and Bacterial Genetics and Biotechnology (3 papers). Stephen Tang collaborates with scholars based in United States, France and Israel. Stephen Tang's co-authors include Samuel H. Sternberg, Sanne E. Klompe, Alejandro Chavez, Phuc Leo H. Vo, Charles D. Swerdlow, Ali Khoynezhad, Robert M. Kass, Lisa M. Montenegro, Arastoo Vossough and Daniel J. Licht and has published in prestigious journals such as Nature, Science and Nature Biotechnology.

In The Last Decade

Stephen Tang

11 papers receiving 234 citations

Author Peers

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

Author						Papers	Cites
Stephen Tang	131	49	44	38	28	13	236
Bruce R. Saran	100 0.8×	70 1.4×	28 0.6×	8 0.2×	31 1.1×	15	302
Stéphanie E. Lindsey	126 1.0×	55 1.1×	13 0.3×	89 2.3×	35 1.3×	14	255
Yuanchao Sun	132 1.0×	15 0.3×	38 0.9×	30 0.8×	10 0.4×	15	301
Simon K.H. Wong	103 0.8×	64 1.3×	28 0.6×	18 0.5×	23 0.8×	12	280
Martin Friis	128 1.0×	76 1.6×	6 0.1×	35 0.9×	12 0.4×	12	308
Eoin Leen	89 0.7×	13 0.3×	47 1.1×	79 2.1×	19 0.7×	13	244
Jennifer Risso-Ballester	159 1.2×	84 1.7×	30 0.7×	25 0.7×	13 0.5×	10	316
Caroline G. Williams	112 0.9×	58 1.2×	26 0.6×	20 0.5×	13 0.5×	14	280
Jingjie Du	107 0.8×	56 1.1×	10 0.2×	9 0.2×	3 0.1×	15	262
Édith Massé	210 1.6×	29 0.6×	54 1.2×	3 0.1×	62 2.2×	14	305

Countries citing papers authored by Stephen Tang

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Tang

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