Lin Yan

619 citations
37 papers · 490 · h-index 16

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Renal Transplantation Outcomes and Treatments 13
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Galectins and Cancer Biology 4

Lin Yan

36 papers receiving 482 citations

Peers

Lin Yan
Comparison fields: 5 of 74
  • Transplantation 143
  • Immunology 144
  • Nephrology 30
  • Genetics 40
  • Hepatology 20
Replace Varnavas Constantinou with:
Varnavas Constantinou Greece
Yamin Tan China
T Hamashima Japan
Sanja Balen Croatia
Frans Duraj Sweden
Eva Honsová Czechia
Diego Guerrieri Argentina
Jaime L. Hook United States
Shuji Nobori Japan
Angela Nocco Italy
Lin Yan relative to Varnavas Constantinou Greece Varnavas Constantinou's profile →
Citations per field
00.5×4.2×
Varnavas Constantinou · 1×
Citations per year

Countries citing papers authored by Lin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201744
2 201739
3 200839
4 201532
5 201932
6 201929
7 201923
8 201922
9 201920
10 201819
11 201919
12 201818
13 201716
14 201616
15 201415
16 200815
17 201514
18 202112
19 201911
20 20246

About Lin Yan

Lin Yan is a scholar working on Transplantation, Immunology, Pediatrics, Perinatology and Child Health, Oncology and Genetics, having authored 37 papers that have together received 490 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (13 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Galectins and Cancer Biology (4 papers), Pharmacological Effects and Toxicity Studies (4 papers), Drug Transport and Resistance Mechanisms (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Transplantation (143 citations), Immunology (144 citations), Nephrology (30 citations), Genetics (40 citations) and Hepatology (20 citations). Lin Yan has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Yunying Shi, Lanlan Wang, Carla C. Baan, Yangjuan Bai, Jiangtao Tang, Lanlan Wang, Yi Li, Nicole M. van Besouw, Ronella de Kuiper and Xiao Wu. Their work appears in journals such as Frontiers in Immunology, International Immunopharmacology, BMC Immunology, SpringerPlus and BMC Nephrology.

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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