Lin Yan
Impact in
- Transplantation top 2%
- Renal Transplantation Outcomes and Treatments
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 15
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Galectins and Cancer Biology 4
- Immunotherapy and Immune Responses 3
-
- Renal Transplantation Outcomes and Treatments 14
- Co-authors
- Yunying Shi (15 shared papers)Lanlan Wang (12 shared papers)Carla C. Baan (4 shared papers)Jiangtao Tang (5 shared papers)Lanlan Wang (2 shared papers)Nicole M. van Besouw (2 shared papers)Ronella de Kuiper (2 shared papers)Yi Li (4 shared papers)
- Journals
- International Immunopharmacology (3 papers)Frontiers in Immunology (2 papers)BMC Immunology (2 papers)Chemical Engineering and Processing - Process Intensification (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Lin Yan
37 papers receiving 465 citations
Peers
Comparison fields: 5 of 80
- Transplantation 161
- Immunology 154
- Nephrology 35
- Hepatology 31
- Genetics 41
Countries citing papers authored by Lin Yan
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 41 | |
| 2 | 2017 | 39 | |
| 3 | 2008 | 38 | |
| 4 | 2015 | 32 | |
| 5 | 2019 | 29 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 22 | |
| 8 | 2019 | 21 | |
| 9 | 2019 | 20 | |
| 10 | 2018 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2017 | 15 | |
| 14 | 2008 | 15 | |
| 15 | 2014 | 15 | |
| 16 | 2016 | 15 | |
| 17 | 2015 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2019 | 8 |
About Lin Yan
Lin Yan is a scholar working on Immunology, Transplantation, Oncology, Surgery and Pediatrics, Perinatology and Child Health, having authored 37 papers that have together received 473 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (14 papers), Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Pharmacological Effects and Toxicity Studies (5 papers), Galectins and Cancer Biology (4 papers), Immunotherapy and Immune Responses (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Transplantation (161 citations), Immunology (154 citations), Nephrology (35 citations), Hepatology (31 citations) and Genetics (41 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, Jiangtao Tang, Lanlan Wang, Nicole M. van Besouw, Ronella de Kuiper, Yi Li, Xiao Wu and Rudi W. Hendriks. Their work appears in journals such as International Immunopharmacology, Frontiers in Immunology, BMC Immunology, Chemical Engineering and Processing - Process Intensification and Scientific Reports.
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.