Huihui Chi
Impact in
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
- Immunology top 10%
- Immune Cell Function and Interaction
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Inflammation biomarkers and pathways
- Immune cells in cancer
Papers in
- Hematology 24
- Autoimmune and Inflammatory Disorders Research 20
- Rheumatology 16
- Systemic Lupus Erythematosus Research 10
- Co-authors
- Yutong Su (36 shared papers)Jialin Teng (36 shared papers)Chengde Yang (37 shared papers)Junna Ye (35 shared papers)Xiaobing Cheng (34 shared papers)Yue Sun (31 shared papers)Qiongyi Hu (33 shared papers)Hui Shi (30 shared papers)
- Journals
- Lara D. Veeken (4 papers)Arthritis Research & Therapy (4 papers)Clinical Rheumatology (4 papers)Journal of Autoimmunity (3 papers)Frontiers in Immunology (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Huihui Chi
37 papers receiving 426 citations
Peers
Comparison fields: 5 of 54
- Hematology 203
- Immunology 245
- Rheumatology 107
- Molecular Biology 175
- Dermatology 17
Countries citing papers authored by Huihui Chi
This map shows the geographic impact of Huihui Chi'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 Huihui Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huihui Chi more than expected).
Fields of papers citing papers by Huihui Chi
This network shows the impact of papers produced by Huihui Chi. 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 Huihui Chi. The network helps show where Huihui Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Huihui Chi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2018 | 30 | |
| 3 | 2019 | 22 | |
| 4 | 2019 | 21 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 20 | |
| 7 | 2020 | 20 | |
| 8 | 2022 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 10 | |
| 15 | 2020 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2019 | 5 |
About Huihui Chi
Huihui Chi is a scholar working on Hematology, Rheumatology, Immunology, Molecular Biology and Epidemiology, having authored 40 papers that have together received 430 indexed citations. Recurring topics across this work include Autoimmune and Inflammatory Disorders Research (20 papers), Systemic Lupus Erythematosus Research (10 papers), Immune Cell Function and Interaction (7 papers), Inflammasome and immune disorders (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Kawasaki Disease and Coronary Complications (4 papers), Viral Infections and Immunology Research (4 papers) and Inflammation biomarkers and pathways (4 papers). The work is most often cited by research in Hematology (203 citations), Immunology (245 citations), Rheumatology (107 citations), Molecular Biology (175 citations) and Dermatology (17 citations). Huihui Chi has collaborated with scholars based in China and United States. Frequent co-authors include Yutong Su, Jialin Teng, Chengde Yang, Junna Ye, Xiaobing Cheng, Yue Sun, Qiongyi Hu, Hui Shi, Zhuochao Zhou and Jinchao Jia. Their work appears in journals such as Lara D. Veeken, Arthritis Research & Therapy, Clinical Rheumatology, Journal of Autoimmunity and Frontiers in Immunology.
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.