Ling Zhen

9 total papers · 1.1k total citations
8 papers, 955 citations indexed

About

Ling Zhen is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Ling Zhen has authored 8 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Neurology. Recurrent topics in Ling Zhen's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and S100 Proteins and Annexins (4 papers). Ling Zhen is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and S100 Proteins and Annexins (4 papers). Ling Zhen collaborates with scholars based in United States. Ling Zhen's co-authors include Mary C. Dinauer, Lixin Yu, Mary C. Dinauer, Simon J. Atkinson, Jovencio Borneo, Bronislawa Petryniak, Andrew W. Roberts, John B. Lowe, David A. Williams and Reuben Kapur and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Ling Zhen

8 papers receiving 935 citations

Author Peers

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

Author Last Decade Papers Cites
Ling Zhen 581 419 211 172 125 8 955
Ayumi Inayoshi 633 1.1× 435 1.0× 140 0.7× 200 1.2× 211 1.7× 15 1.1k
Christina Meyer 488 0.8× 421 1.0× 126 0.6× 130 0.8× 68 0.5× 16 1.2k
Xiangyun Amy Chen 386 0.7× 502 1.2× 88 0.4× 91 0.5× 65 0.5× 7 925
Margaret E. Martin 287 0.5× 531 1.3× 139 0.7× 202 1.2× 127 1.0× 10 1.1k
Maxime Hallé 352 0.6× 588 1.4× 122 0.6× 101 0.6× 149 1.2× 15 1.1k
Chang-Duk Jun 312 0.5× 319 0.8× 95 0.5× 338 2.0× 104 0.8× 14 859
E A Robinson 286 0.5× 434 1.0× 68 0.3× 93 0.5× 202 1.6× 12 940
Tomáš Cinek 484 0.8× 522 1.2× 151 0.7× 205 1.2× 225 1.8× 14 1.1k
Jeffrey Butler 443 0.8× 368 0.9× 82 0.4× 267 1.6× 226 1.8× 9 813
Kathryn Pyne 470 0.8× 504 1.2× 145 0.7× 373 2.2× 165 1.3× 12 1.1k

Countries citing papers authored by Ling Zhen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Zhen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Zhen

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