M Chen

11 total papers · 961 total citations
9 papers, 701 citations indexed

About

M Chen is a scholar working on Parasitology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, M Chen has authored 9 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Parasitology, 4 papers in Infectious Diseases and 3 papers in Molecular Biology. Recurrent topics in M Chen's work include Vector-borne infectious diseases (6 papers), Viral Infections and Vectors (4 papers) and Heat shock proteins research (2 papers). M Chen is often cited by papers focused on Vector-borne infectious diseases (6 papers), Viral Infections and Vectors (4 papers) and Heat shock proteins research (2 papers). M Chen collaborates with scholars based in United States. M Chen's co-authors include Hongyu Zhao, Erol Fikrig, Richard A. Flavell, Stephen W. Barthold, Brigitte P. Griffith, H. L. Lucia, G. D. Hsiung, Sam R. Telford, Linda K. Bockenstedt and Cheong‐Hee Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

M Chen

9 papers receiving 684 citations

Hit Papers

Next-generation sequencin... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
M Chen 271 211 208 196 126 9 701
Oliver C. Hutchinson 141 0.5× 200 0.9× 107 0.5× 41 0.2× 35 0.3× 14 801
Velasco Cimica 46 0.2× 369 1.7× 49 0.2× 317 1.6× 220 1.7× 24 902
T. Sprong 49 0.2× 76 0.4× 196 0.9× 141 0.7× 340 2.7× 14 641
Amanda J. Favreau 79 0.3× 198 0.9× 37 0.2× 93 0.5× 446 3.5× 13 799
Thomas McCarty 57 0.2× 245 1.2× 41 0.2× 211 1.1× 219 1.7× 22 759
Remzi Onur Eren 70 0.3× 407 1.9× 54 0.3× 109 0.6× 363 2.9× 13 847
Marco Albrecht 185 0.7× 461 2.2× 22 0.1× 48 0.2× 69 0.5× 17 770
Alessandro Ceroni 147 0.5× 471 2.2× 210 1.0× 102 0.5× 90 0.7× 10 770
Carolin Konermann 90 0.3× 360 1.7× 191 0.9× 46 0.2× 224 1.8× 13 723
Priya R. Chikhlikar 68 0.3× 238 1.1× 25 0.1× 81 0.4× 207 1.6× 20 681

Countries citing papers authored by M Chen

Since Specialization
Citations

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

Fields of papers citing papers by M Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Chen

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