Yisha Li
Impact in
-
- Autoimmune and Inflammatory Disorders Research
Papers in
- Epidemiology 12
- Inflammatory Myopathies and Dermatomyositis 8
-
- Immune Cell Function and Interaction 3
- Mast cells and histamine 2
- Co-authors
- Xiaoxia Zuo (11 shared papers)Huali Zhang (10 shared papers)Xianzhong Xiao (3 shared papers)Yaou Zhou (2 shared papers)Yanping Wang (1 shared paper)Hui Luo (9 shared papers)Chao Quan (1 shared paper)Honglin Zhu (4 shared papers)
- Journals
- Clinical Rheumatology (2 papers)SpringerPlus (1 paper)Biochemical and Biophysical Research Communications (1 paper)Clinical Microbiology Reviews (1 paper)Medicine (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yisha Li
24 papers receiving 287 citations
Peers
Comparison fields: 5 of 74
- Drug Discovery 1
- Hematology 39
- Immunology 73
- Rheumatology 46
- Neurology 22
Countries citing papers authored by Yisha Li
This map shows the geographic impact of Yisha Li'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 Yisha Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yisha Li more than expected).
Fields of papers citing papers by Yisha Li
This network shows the impact of papers produced by Yisha Li. 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 Yisha Li. The network helps show where Yisha Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yisha Li, 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 | 2010 | 51 | |
| 2 | 2020 | 38 | |
| 3 | 2020 | 34 | |
| 4 | 2019 | 31 | |
| 5 | 2016 | 19 | |
| 6 | 2023 | 17 | |
| 7 | 2018 | 13 | |
| 8 | 2016 | 10 | |
| 9 | 2021 | 10 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2011 | 2 |
About Yisha Li
Yisha Li is a scholar working on Epidemiology, Immunology, Molecular Biology, Rheumatology and Dermatology, having authored 25 papers that have together received 291 indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (8 papers), Eosinophilic Disorders and Syndromes (5 papers), Systemic Sclerosis and Related Diseases (3 papers), Immune Cell Function and Interaction (3 papers), Mast cells and histamine (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Viral Infections and Immunology Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Hematology (39 citations), Immunology (73 citations), Rheumatology (46 citations) and Neurology (22 citations). Yisha Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiaoxia Zuo, Huali Zhang, Xianzhong Xiao, Yaou Zhou, Yanping Wang, Hui Luo, Chao Quan, Honglin Zhu, Shuang Ye and Wenfeng Tan. Their work appears in journals such as Clinical Rheumatology, SpringerPlus, Biochemical and Biophysical Research Communications, Clinical Microbiology Reviews and Medicine.
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.