Jiaxi Li

1.0k citations
61 papers · 672 · h-index 15

Impact in

Papers in

    • Invertebrate Immune Response Mechanisms 4
    • Immune Response and Inflammation 3
    • S100 Proteins and Annexins 3

Jiaxi Li

57 papers receiving 665 citations

Peers

Jiaxi Li
Comparison fields: 5 of 96
  • Rheumatology 126
  • Developmental Neuroscience 34
  • Neurology 63
  • Immunology 121
  • Biological Psychiatry 11
Replace Ashwini Kumar with:
Ashwini Kumar Finland
Caroline Perner United States
Manjit Braitch United Kingdom
Mingkun Yu China
Meggan Czapiga United States
Stéphanie Christen‐Zaech Switzerland
Fuhua Peng China
Marcela Fiol Argentina
A Bergk Germany
Laura Edwards United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jiaxi Li

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201278
2 201947
3 201345
4 201831
5 202129
6 201628
7 201927
8 202326
9 201525
10 201925
11 202221
12 202120
13 202217
14 202117
15 201916
16 202214
17 202313
18 201812
19 202112
20 202211

About Jiaxi Li

Jiaxi Li is a scholar working on Immunology, Molecular Biology, Rheumatology, Epidemiology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 672 indexed citations. Recurring topics across this work include Moyamoya disease diagnosis and treatment (7 papers), Invertebrate Immune Response Mechanisms (4 papers), Nerve injury and regeneration (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurological Complications and Syndromes (4 papers), Regulation of Appetite and Obesity (3 papers), Immune Response and Inflammation (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Rheumatology (126 citations), Developmental Neuroscience (34 citations), Neurology (63 citations), Immunology (121 citations) and Biological Psychiatry (11 citations). Jiaxi Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yahui Zhao, Rong Wang, James A. Waschek, Hiroko Nobuta, Yuanli Zhao, Ju Cao, Junlin Lu, Yan Zhang, Atsushi Kasai and Jinning Song. Their work appears in journals such as Frontiers in Neurology, Medicine, Journal of Assisted Reproduction and Genetics, Journal of Interferon & Cytokine Research and Clinical Neurology and Neurosurgery.

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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