Zeran Li

2.1k citations
8 papers · 383 indexed · h-index 7

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Bioinformatics and Genomic Networks 2
    • Single-cell and spatial transcriptomics 1
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Zeran Li

8 papers receiving 378 citations

Peers

Zeran Li
Comparison fields: 5 of 69
  • Neurology 167
  • Biological Psychiatry 31
  • Immunology 94
  • Physiology 114
  • Physiology 16
Replace Fabrizio Biundo with:
Fabrizio Biundo United States
Erica C. Dresselhaus United States
Petra Füger Germany
Wei Di China
Fabio Perrucci Italy
Olena Korvatska United States
Jinar Rostami Sweden
Xiao‐Ou Hou China
Monika Plescher Germany
Lindsay Meyerdirk United States
Zeran Li relative to Fabrizio Biundo United States Fabrizio Biundo's profile →
Citations per field
00.5×1.5×1.8×
Fabrizio Biundo · 1×
Citations per year

Countries citing papers authored by Zeran Li

Since Specialization
Citations

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

Fields of papers citing papers by Zeran Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zeran Li, 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 Zeran Li Line = papers co-authored together Zeran Li links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2019113
2 201280
3 201960
4 201847
5 201832
6 201831
7 202019
8 20131

About Zeran Li

Zeran Li is a scholar working on Molecular Biology, Neurology, Physiology, Immunology and Pharmacology, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Inflammation biomarkers and pathways (2 papers), Bioinformatics and Genomic Networks (2 papers), Single-cell and spatial transcriptomics (1 paper), Apelin-related biomedical research (1 paper), Corneal surgery and disorders (1 paper) and Zebrafish Biomedical Research Applications (1 paper). The work is most often cited by research in Neurology (167 citations), Biological Psychiatry (31 citations), Immunology (94 citations), Physiology (114 citations) and Physiology (16 citations). Zeran Li has collaborated with scholars based in United States. Frequent co-authors include Carlos Cruchaga, Bruno A. Benítez, Jorge L. Del‐Aguila, Umber Dube, John Budde, Oscar Harari, María Victoria Fernández, Yuk Fai Leung, Wenxuan Zhong and John C. Morris. Their work appears in journals such as Alzheimer s Research & Therapy, Expert Opinion on Therapeutic Targets, Translational Psychiatry, Molecular Neurodegeneration and Expert Review of Ophthalmology.

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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