Yi‐Lin Dan
Impact in
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in
- Rheumatology 11
- Systemic Lupus Erythematosus Research 9
- Rheumatoid Arthritis Research and Therapies 2
- Immunology 10
- Atherosclerosis and Cardiovascular Diseases 3
- T-cell and B-cell Immunology 2
- Co-authors
- Hai‐Feng Pan (21 shared papers)Chan‐Na Zhao (18 shared papers)Yan‐Mei Mao (17 shared papers)Qian Wu (19 shared papers)Zhiwei Xu (4 shared papers)Guo‐Cui Wu (7 shared papers)Napoleon Bellua Sam (4 shared papers)Sha‐Sha Tao (5 shared papers)
- Journals
- Lupus (2 papers)Autoimmunity Reviews (2 papers)Biomarkers in Medicine (2 papers)Current Pharmaceutical Design (2 papers)Patient Preference and Adherence (1 paper)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Yi‐Lin Dan
25 papers receiving 628 citations
Peers
Comparison fields: 5 of 111
- Health, Toxicology and Mutagenesis 207
- Rheumatology 122
- Endocrine and Autonomic Systems 48
- Immunology 130
- Speech and Hearing 32
Countries citing papers authored by Yi‐Lin Dan
This map shows the geographic impact of Yi‐Lin Dan'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 Yi‐Lin Dan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Lin Dan more than expected).
Fields of papers citing papers by Yi‐Lin Dan
This network shows the impact of papers produced by Yi‐Lin Dan. 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 Yi‐Lin Dan. The network helps show where Yi‐Lin Dan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Lin Dan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 224 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 50 | |
| 4 | 2020 | 48 | |
| 5 | 2021 | 42 | |
| 6 | 2019 | 34 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 17 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2019 | 9 | |
| 15 | 2019 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2018 | 4 |
About Yi‐Lin Dan
Yi‐Lin Dan is a scholar working on Rheumatology, Immunology, Genetics, Endocrine and Autonomic Systems and Epidemiology, having authored 25 papers that have together received 631 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), Circadian rhythm and melatonin (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Air Quality and Health Impacts (3 papers), T-cell and B-cell Immunology (2 papers), Diabetes and associated disorders (2 papers), Genetic Associations and Epidemiology (2 papers) and Rheumatoid Arthritis Research and Therapies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (207 citations), Rheumatology (122 citations), Endocrine and Autonomic Systems (48 citations), Immunology (130 citations) and Speech and Hearing (32 citations). Yi‐Lin Dan has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Hai‐Feng Pan, Chan‐Na Zhao, Yan‐Mei Mao, Qian Wu, Zhiwei Xu, Guo‐Cui Wu, Napoleon Bellua Sam, Sha‐Sha Tao, Dong‐Qing Ye and Lina Liu. Their work appears in journals such as Lupus, Autoimmunity Reviews, Biomarkers in Medicine, Current Pharmaceutical Design and Patient Preference and Adherence.
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.