Ji-Jing Yan

1.9k citations
35 papers · 1.6k · h-index 19

Impact in

Papers in

    • Immune Response and Inflammation 5
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3

Ji-Jing Yan

34 papers receiving 1.6k citations

Peers

Ji-Jing Yan
Comparison fields: 5 of 102
  • Biological Psychiatry 51
  • Immunology 330
  • Neurology 122
  • Complementary and alternative medicine 100
  • Physiology 274
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Lin Luo China
Paul W. Hake United States
Jae‐Won Seol South Korea
Monisha Dhiman India
Sofia Mariotto Italy
Seema Singh India
Syed Zahid Ali Shah China
Riku Korhonen Finland
Shoupeng Fu China
Won‐Ki Baek South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Ji-Jing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Jing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Jing Yan. 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 Ji-Jing Yan. The network helps show where Ji-Jing Yan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004273
2 2007209
3 2012129
4 2013108
5 2004100
6 201295
7 200393
8 201286
9 200568
10 201762
11 201658
12 202039
13 201335
14 200330
15 200429
16 201728
17 201626
18 201422
19 201618
20 201917

About Ji-Jing Yan

Ji-Jing Yan is a scholar working on Immunology, Molecular Biology, Physiology, Epidemiology and Neurology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Immune Response and Inflammation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), T-cell and B-cell Immunology (3 papers), Plant chemical constituents analysis (3 papers), Immune Cell Function and Interaction (3 papers) and Xenotransplantation and immune response (3 papers). The work is most often cited by research in Biological Psychiatry (51 citations), Immunology (330 citations), Neurology (122 citations), Complementary and alternative medicine (100 citations) and Physiology (274 citations). Ji-Jing Yan has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Dong‐Keun Song, Hong‐Won Suh, Hee‐Sung Kim, Jun‐Sub Jung, Jaeseok Yang, Ju‐Suk Nam, Tai Yeon Koo, Jae‐Young Cho, Joon Young Jang and Do‐Hoon Kim. Their work appears in journals such as Biological and Pharmaceutical Bulletin, Journal of the American Society of Nephrology, Progress in Neuro-Psychopharmacology and Biological Psychiatry, Transplantation and Kidney International.

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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