Jian-Da Lin
Impact in
- Immunology top 5%
- Atherosclerosis and Cardiovascular Diseases
- interferon and immune responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Parasitology top 10%
- Parasites and Host Interactions
Papers in
- Immunology 11
- Immune cells in cancer 4
- Immune responses and vaccinations 2
- interferon and immune responses 2
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- Energy Efficient Wireless Sensor Networks 4
- Co-authors
- P’ng Loke (10 shared papers)Caroline McCauley (4 shared papers)Jordan Poles (2 shared papers)Edward A A Fisher (2 shared papers)Nikollaq Vozhilla (2 shared papers)Ken Cadwell (6 shared papers)Joseph Cooper Devlin (4 shared papers)Kelly V. Ruggles (4 shared papers)
- Journals
- Cell Host & Microbe (2 papers)Science Immunology (2 papers)JCI Insight (1 paper)Nature Immunology (1 paper)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Jian-Da Lin
21 papers receiving 937 citations
Peers
Comparison fields: 5 of 71
- Immunology 455
- Parasitology 47
- Molecular Biology 243
- Infectious Diseases 71
- Genetics 87
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
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 248 | |
| 2 | 2016 | 142 | |
| 3 | 2020 | 134 | |
| 4 | 2017 | 120 | |
| 5 | 2020 | 70 | |
| 6 | 2021 | 65 | |
| 7 | 2021 | 56 | |
| 8 | 2023 | 34 | |
| 9 | 2008 | 22 | |
| 10 | 2022 | 18 | |
| 11 | 2023 | 8 | |
| 12 | 2010 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2010 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2010 | 1 |
About Jian-Da Lin
Jian-Da Lin is a scholar working on Immunology, Computer Networks and Communications, Urology, Genetics and Oncology, having authored 23 papers that have together received 942 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Energy Efficient Wireless Sensor Networks (4 papers), Inflammatory Bowel Disease (4 papers), Gut microbiota and health (3 papers), Immune responses and vaccinations (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Hair Growth and Disorders (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (455 citations), Parasitology (47 citations), Molecular Biology (243 citations), Infectious Diseases (71 citations) and Genetics (87 citations). Jian-Da Lin has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include P’ng Loke, Caroline McCauley, Jordan Poles, Edward A A Fisher, Nikollaq Vozhilla, Ken Cadwell, Joseph Cooper Devlin, Kelly V. Ruggles, Emily J. Brown and Hitoo Nishi. Their work appears in journals such as Cell Host & Microbe, Science Immunology, JCI Insight, Nature Immunology and Nature Communications.
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.