Han Cen
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Osteoarthritis Treatment and Mechanisms
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Rheumatology 49
- Systemic Lupus Erythematosus Research 29
- Rheumatoid Arthritis Research and Therapies 12
- Osteoarthritis Treatment and Mechanisms 11
- Immunology 19
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 6
- Co-authors
- Dong‐Qing Ye (29 shared papers)Hai‐Feng Pan (31 shared papers)Rui‐Xue Leng (20 shared papers)M. Ho (2 shared papers)Chen-Chen Feng (14 shared papers)Jing Ni (14 shared papers)Alex G. Papageorge (1 shared paper)Douglas R. Lowy (1 shared paper)
- Journals
- Inflammation Research (3 papers)Lara D. Veeken (3 papers)International Immunopharmacology (3 papers)Blood (2 papers)Immunogenetics (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Han Cen
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Rheumatology 438
- Immunology 392
- Oncology 320
- Cancer Research 123
- Pathology and Forensic Medicine 146
Countries citing papers authored by Han Cen
This map shows the geographic impact of Han Cen'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 Han Cen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Cen more than expected).
Fields of papers citing papers by Han Cen
This network shows the impact of papers produced by Han Cen. 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 Han Cen. The network helps show where Han Cen may publish in the future.
Co-authors
The 25 scholars most cited alongside Han Cen, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 97 | |
| 2 | 1993 | 97 | |
| 3 | 1991 | 89 | |
| 4 | 2013 | 66 | |
| 5 | 2014 | 51 | |
| 6 | 2012 | 38 | |
| 7 | 2013 | 34 | |
| 8 | 2021 | 32 | |
| 9 | 2015 | 29 | |
| 10 | 2013 | 29 | |
| 11 | 2021 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2011 | 25 | |
| 14 | 2013 | 24 | |
| 15 | 2022 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2013 | 23 | |
| 18 | 2013 | 22 | |
| 19 | 2014 | 22 | |
| 20 | 2010 | 21 |
About Han Cen
Han Cen is a scholar working on Rheumatology, Immunology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (29 papers), Rheumatoid Arthritis Research and Therapies (12 papers), Osteoarthritis Treatment and Mechanisms (11 papers), Cytokine Signaling Pathways and Interactions (9 papers), T-cell and B-cell Immunology (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Autoimmune and Inflammatory Disorders Research (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Rheumatology (438 citations), Immunology (392 citations), Oncology (320 citations), Cancer Research (123 citations) and Pathology and Forensic Medicine (146 citations). Han Cen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Dong‐Qing Ye, Hai‐Feng Pan, Rui‐Xue Leng, M. Ho, Chen-Chen Feng, Jing Ni, Alex G. Papageorge, Douglas R. Lowy, Renata Zippel and Mary C. Breinig. Their work appears in journals such as Inflammation Research, Lara D. Veeken, International Immunopharmacology, Blood and Immunogenetics.
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.