Ling Zhen

1.1k citations
8 papers · 982 · h-index 7

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 5%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation

Papers in

    • S100 Proteins and Annexins 4
    • Lipid Membrane Structure and Behavior 1
    • Receptor Mechanisms and Signaling 1
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 7

Ling Zhen

8 papers receiving 961 citations

Peers

Ling Zhen
Comparison fields: 5 of 80
  • Immunology and Allergy 164
  • Immunology 585
  • Neurology 88
  • Physiology 208
  • Physiology 39
Replace Paul J. Zavodny with:
Paul J. Zavodny United States
Ayumi Inayoshi Japan
Laurence Brouchon France
Anthony G. Adams United States
Anke Zobywalski Germany
Brendan J. Classon Australia
Takayuki Shiratsuchi Japan
R F Weber United States
Mireille Riedinger United States
Michele Pallaoro Italy
Ling Zhen relative to Paul J. Zavodny United States Paul J. Zavodny's profile →
Citations per field
00.5×1.5×1.8×
Paul J. Zavodny · 1×
Citations per year

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-authors

The 21 scholars most cited alongside Ling Zhen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ling Zhen Line = papers co-authored together Ling Zhen links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1999486
2 1993186
3 1997137
4 199659
5 199938
6 199837
7 200036
8 19963

About Ling Zhen

Ling Zhen is a scholar working on Molecular Biology, Immunology, Neurology, Physiology and Genetics, having authored 8 papers that have together received 982 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), S100 Proteins and Annexins (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cell Adhesion Molecules Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Lipid Membrane Structure and Behavior (1 paper), Receptor Mechanisms and Signaling (1 paper) and Blood disorders and treatments (1 paper). The work is most often cited by research in Immunology and Allergy (164 citations), Immunology (585 citations), Neurology (88 citations), Physiology (208 citations) and Physiology (39 citations). Ling Zhen has collaborated with scholars based in United States. Frequent co-authors include Mary C. Dinauer, Lixin Yu, Reuben Kapur, Bronislawa Petryniak, Andrew W. Roberts, Chaekyun Kim, Jonathan Pollock, Simon J. Atkinson, John B. Lowe and Jovencio Borneo. Their work appears in journals such as Blood, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Immunity and Journal of Cardiac Failure.

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.

Explore authors with similar magnitude of impact