Shengjiang Tan

30 total papers · 502 total citations
13 papers, 203 citations indexed

About

Shengjiang Tan is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Shengjiang Tan has authored 13 papers receiving a total of 203 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Genetics. Recurrent topics in Shengjiang Tan's work include Genetic diversity and population structure (2 papers), Extracellular vesicles in disease (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Shengjiang Tan is often cited by papers focused on Genetic diversity and population structure (2 papers), Extracellular vesicles in disease (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). Shengjiang Tan collaborates with scholars based in United Kingdom, China and Panama. Shengjiang Tan's co-authors include Yuchun Gu, Dongqing Guo, Daimark Bennett, Hao Zhang, Teiji Sota, Adam J. Fletcher, Jon Dean, Huiyuan Zhang, Alan J. Warren and Magdalene Michael and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Blood.

In The Last Decade

Shengjiang Tan

12 papers receiving 201 citations

Author Peers

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

Author Last Decade Papers Cites
Shengjiang Tan 123 36 33 28 28 13 203
И. Н. Рыбалкин 187 1.5× 33 0.9× 38 1.2× 19 0.7× 24 0.9× 13 253
Rubén Fernández 115 0.9× 27 0.8× 32 1.0× 20 0.7× 19 0.7× 16 224
Tova Hershkovitz 82 0.7× 13 0.4× 17 0.5× 41 1.5× 25 0.9× 16 165
Xiaojing Wang 98 0.8× 30 0.8× 35 1.1× 28 1.0× 35 1.3× 20 209
Duah Alkam 143 1.2× 25 0.7× 43 1.3× 13 0.5× 15 0.5× 15 231
Andrew Nickless 221 1.8× 18 0.5× 25 0.8× 21 0.8× 52 1.9× 9 281
Kimihiko Banno 179 1.5× 22 0.6× 14 0.4× 44 1.6× 28 1.0× 12 266
Victor Gourain 132 1.1× 81 2.3× 29 0.9× 18 0.6× 20 0.7× 23 234
Clara Reglero 207 1.7× 21 0.6× 33 1.0× 9 0.3× 30 1.1× 14 280
Emily Price 203 1.7× 62 1.7× 26 0.8× 21 0.8× 15 0.5× 9 244

Countries citing papers authored by Shengjiang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Shengjiang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjiang Tan

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