Shaogeng Tang

1.6k citations
25 papers · 945 indexed · 1 hit paper · h-index 14
Topics
Cellular transport and secretion (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)Sperm and Testicular Function (4 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Shaogeng Tang

24 papers receiving 925 citations

Hit Papers

Efficient evolution of human antibodies from general prot...2023202620242025202350100150200

Peers

Shaogeng Tang
Comparison fields: 5 of 88
  • Molecular Biology 517
  • Cell Biology 238
  • Infectious Diseases 179
  • Immunology 143
  • Radiology, Nuclear Medicine and Imaging 124
Replace Jennifer A. Smith with:
Jennifer A. Smith United States
Karim Majzoub France
Thomas Mandel Clausen Denmark
Dawn Nowlin United States
Marlène Bouvier United States
Lindsay N. Carpp United States
Ieva Bagdonaite Denmark
Christophe Hourioux France
Anatoly Sharipo Sweden
Yusuke Miyanari Japan
Shaogeng Tang relative to Jennifer A. Smith United States Jennifer A. Smith's profile →
Citations per field
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Jennifer A. Smith · 1×
Citations per year

Countries citing papers authored by Shaogeng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shaogeng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaogeng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaogeng Tang. A scholar is included among the top collaborators of Shaogeng 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 Shaogeng Tang. Shaogeng Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 16
5 3
6 6
7 6
8 54
9
Efficient evolution of human antibodies from general protein language modelsbreakdown →
205
10 10
11 13
12 17
13 122
14 31
15 51
16 4
17 24
18 7
19 59
20 84

About Shaogeng Tang

Shaogeng Tang is a scholar working on Reproductive Medicine, Cell Biology and Virology, having authored 25 papers that have together received 945 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Cell Biology (238 citations), Infectious Diseases (179 citations) and Virology (37 citations). Shaogeng Tang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Peter S. Kim, Scott D. Emr, Nicholas J. Buchkovich, Payton A. Weidenbacher, John E. Pak, W. Mike Henne, Theodora U. J. Bruun, Duo Xu, Sudeep Banjade and Varun R. Shanker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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