C. Hua
Impact in
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
- Rheumatology 13
- Rheumatoid Arthritis Research and Therapies 13
- Systemic Lupus Erythematosus Research 5
- Spondyloarthritis Studies and Treatments 3
- Co-authors
- Bernard Combe (18 shared papers)Jacques Morel (11 shared papers)Thomas Barnetche (5 shared papers)C. Daïen (8 shared papers)Frank Buttgereit (1 shared paper)C. Gaujoux-Viala (10 shared papers)Cédric Lukas (8 shared papers)C. Rempenault (2 shared papers)
- Journals
- Annals of the Rheumatic Diseases (7 papers)RMD Open (3 papers)Arthritis Care & Research (2 papers)Journal of Autoimmunity (1 paper)Current Rheumatology Reports (1 paper)
- Partner nations
- FranceNetherlandsSwitzerland
In The Last Decade
C. Hua
20 papers receiving 802 citations
Peers
Comparison fields: 5 of 77
- Rheumatology 418
- Hematology 81
- Ophthalmology 51
- Immunology 125
- Infectious Diseases 88
Countries citing papers authored by C. Hua
This map shows the geographic impact of C. Hua'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 C. Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Hua more than expected).
Fields of papers citing papers by C. Hua
This network shows the impact of papers produced by C. Hua. 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 C. Hua. The network helps show where C. Hua may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Hua, 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 | 2013 | 198 | |
| 2 | 2017 | 167 | |
| 3 | 2020 | 114 | |
| 4 | 2018 | 74 | |
| 5 | 2016 | 60 | |
| 6 | 2017 | 44 | |
| 7 | 2019 | 44 | |
| 8 | 2017 | 43 | |
| 9 | 2017 | 37 | |
| 10 | 2017 | 16 | |
| 11 | 2017 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2018 | 2 | |
| 14 | 2018 | 2 | |
| 15 | 2018 | 2 | |
| 16 | 2019 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2021 | 1 |
About C. Hua
C. Hua is a scholar working on Rheumatology, Immunology, Epidemiology, Hematology and Infectious Diseases, having authored 23 papers that have together received 821 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (13 papers), Systemic Lupus Erythematosus Research (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Spondyloarthritis Studies and Treatments (3 papers), Peripheral Neuropathies and Disorders (2 papers), Autoimmune and Inflammatory Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). The work is most often cited by research in Rheumatology (418 citations), Hematology (81 citations), Ophthalmology (51 citations), Immunology (125 citations) and Infectious Diseases (88 citations). C. Hua has collaborated with scholars based in France, Netherlands and Switzerland. Frequent co-authors include Bernard Combe, Jacques Morel, Thomas Barnetche, C. Daïen, Frank Buttgereit, C. Gaujoux-Viala, Cédric Lukas, C. Rempenault, Robert Landewé and Rachel Audo. Their work appears in journals such as Annals of the Rheumatic Diseases, RMD Open, Arthritis Care & Research, Journal of Autoimmunity and Current Rheumatology Reports.
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.