Jian-Da Lin
Impact in
- Immunology top 10%
- Immune cells in cancer
- Atherosclerosis and Cardiovascular Diseases
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
- Immunology 10
- Immune cells in cancer 4
- Immune Cell Function and Interaction 3
- IL-33, ST2, and ILC Pathways 3
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- Single-cell and spatial transcriptomics 3
- Gut microbiota and health 3
- Co-authors
- P’ng Loke (8 shared papers)Edward A. Fisher (2 shared papers)Nikollaq Vozhilla (2 shared papers)Jordan Poles (2 shared papers)Caroline McCauley (3 shared papers)Xiang Niu (1 shared paper)Karishma Rahman (1 shared paper)Ada Weinstock (1 shared paper)
- Journals
- Cell Metabolism (1 paper)International Journal of Circuit Theory and Applications (1 paper)Information Systems Frontiers (1 paper)Nature Communications (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Jian-Da Lin
15 papers receiving 760 citations
Peers
Comparison fields: 5 of 102
- Immunology 416
- Infectious Diseases 164
- Parasitology 35
- Animal Science and Zoology 44
- Neurology 35
Countries citing papers authored by Jian-Da Lin
This map shows the geographic impact of Jian-Da Lin'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 Jian-Da Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian-Da Lin more than expected).
Fields of papers citing papers by Jian-Da Lin
This network shows the impact of papers produced by Jian-Da Lin. 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 Jian-Da Lin. The network helps show where Jian-Da Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jian-Da Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 221 | |
| 2 | 2016 | 132 | |
| 3 | 2020 | 116 | |
| 4 | 2017 | 111 | |
| 5 | 2021 | 50 | |
| 6 | 2021 | 50 | |
| 7 | 2012 | 34 | |
| 8 | 2023 | 28 | |
| 9 | 2023 | 7 | |
| 10 | 2015 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Jian-Da Lin
Jian-Da Lin is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Urology and Genetics, having authored 17 papers that have together received 762 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Single-cell and spatial transcriptomics (3 papers), Gut microbiota and health (3 papers), Immune Cell Function and Interaction (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Hair Growth and Disorders (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Immunology (416 citations), Infectious Diseases (164 citations), Parasitology (35 citations), Animal Science and Zoology (44 citations) and Neurology (35 citations). Jian-Da Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include P’ng Loke, Edward A. Fisher, Nikollaq Vozhilla, Jordan Poles, Caroline McCauley, Xiang Niu, Karishma Rahman, Ada Weinstock, Emily J. Brown and Stephen A. Ramsey. Their work appears in journals such as Cell Metabolism, International Journal of Circuit Theory and Applications, Information Systems Frontiers, Nature Communications and Journal of Investigative Dermatology.
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.