S. S. Tang

9 total papers · 577 total citations
7 papers, 484 citations indexed

About

S. S. Tang is a scholar working on Molecular Biology, Insect Science and Nephrology. According to data from OpenAlex, S. S. Tang has authored 7 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Insect Science and 1 paper in Nephrology. Recurrent topics in S. S. Tang's work include Receptor Mechanisms and Signaling (2 papers), Insect and Pesticide Research (2 papers) and Neuroscience of respiration and sleep (1 paper). S. S. Tang is often cited by papers focused on Receptor Mechanisms and Signaling (2 papers), Insect and Pesticide Research (2 papers) and Neuroscience of respiration and sleep (1 paper). S. S. Tang collaborates with scholars based in United States and Taiwan. S. S. Tang's co-authors include Julie R. Ingelfinger, Daniel Diamant, Juan José López Gómez, Beverly H. Lorell, Heribert Schunkert, Ellen O. Weinberg, Steven R. Gullans, Manjula Kurella Tamura, Rita D. Swinford and Robin L. Stears and has published in prestigious journals such as Endocrinology, Kidney International and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

S. S. Tang

7 papers receiving 474 citations

Author Peers

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

Author Last Decade Papers Cites
S. S. Tang 266 222 107 81 42 7 484
Daniel Diamant 216 0.8× 334 1.5× 196 1.8× 45 0.6× 31 0.7× 9 471
J R Ingelfinger 193 0.7× 324 1.5× 177 1.7× 72 0.9× 43 1.0× 13 550
Nikoo Alavi 221 0.8× 100 0.5× 73 0.7× 128 1.6× 69 1.6× 7 439
Nicolas Godin 186 0.7× 81 0.4× 74 0.7× 122 1.5× 39 0.9× 8 438
H. Suzuki 160 0.6× 201 0.9× 97 0.9× 65 0.8× 56 1.3× 9 433
Sha Guan 146 0.5× 250 1.1× 188 1.8× 43 0.5× 28 0.7× 6 451
Michael S. LaPointe 257 1.0× 224 1.0× 163 1.5× 78 1.0× 47 1.1× 14 513
Uwe Haberstroh 159 0.6× 129 0.6× 83 0.8× 146 1.8× 46 1.1× 7 475
Huimin Xian 267 1.0× 82 0.4× 63 0.6× 41 0.5× 64 1.5× 7 441
Paul Fennessy 126 0.5× 235 1.1× 105 1.0× 51 0.6× 68 1.6× 13 473

Countries citing papers authored by S. S. Tang

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. S. Tang

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