Meixin Shen

34 total papers · 456 total citations
15 papers, 191 citations indexed

About

Meixin Shen is a scholar working on Immunology, Pharmacology and Pathology and Forensic Medicine. According to data from OpenAlex, Meixin Shen has authored 15 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 3 papers in Pharmacology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Meixin Shen's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (5 papers). Meixin Shen is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (5 papers). Meixin Shen collaborates with scholars based in Singapore, United States and China. Meixin Shen's co-authors include Ee Chee Ren, Ziwei Xiao, Jingxian Liu, Hui Ling Ko, S. H. Chan, Matthew Zirui Tay, Yeh Ching Linn, Ee-Chee Ren, Hazel H. Oon and S. M. Pang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Osteoporosis International.

In The Last Decade

Meixin Shen

14 papers receiving 188 citations

Author Peers

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

Author Last Decade Papers Cites
Meixin Shen 142 31 24 24 20 15 191
L. Lamm 98 0.7× 11 0.4× 24 1.0× 14 0.6× 14 0.7× 12 183
Shirly Frizinsky 84 0.6× 12 0.4× 36 1.5× 32 1.3× 22 1.1× 13 188
Heike Kunze‐Schumacher 142 1.0× 20 0.6× 81 3.4× 23 1.0× 24 1.2× 17 230
Lei Zhu 149 1.0× 33 1.1× 49 2.0× 8 0.3× 23 1.1× 16 248
Karl M. Hoegler 115 0.8× 36 1.2× 32 1.3× 25 1.0× 41 2.0× 15 239
Suresh Radhakrishnan 83 0.6× 25 0.8× 54 2.3× 11 0.5× 22 1.1× 15 258
Felix S.R. Picard 144 1.0× 78 2.5× 61 2.5× 5 0.2× 28 1.4× 14 250
Giuseppe Fabrizio Amoruso 136 1.0× 19 0.6× 35 1.5× 7 0.3× 34 1.7× 15 276
Rebeca Goiriz 57 0.4× 24 0.8× 7 0.3× 13 0.5× 16 0.8× 17 131
Felipe Suarez 96 0.7× 28 0.9× 13 0.5× 18 0.8× 57 2.9× 16 263

Countries citing papers authored by Meixin Shen

Since Specialization
Citations

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

Fields of papers citing papers by Meixin Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixin Shen

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