Cheng‐Hong Wei
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 11
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
-
- Cell death mechanisms and regulation 2
- Co-authors
- Steven R. Bauer (2 shared papers)Jessica Lo Surdo (2 shared papers)Matthew W. Klinker (1 shared paper)Ross A. Marklein (1 shared paper)Maria G. Masucci (5 shared papers)Victor Levitsky (5 shared papers)Elena Sandalova (1 shared paper)Linda A. Sherman (3 shared papers)
- Journals
- The Journal of Immunology (6 papers)Proceedings of the National Academy of Sciences (2 papers)Cell & Bioscience (1 paper)Human Immunology (1 paper)Xenotransplantation (1 paper)
- Partner nations
- United StatesSwedenCanada
In The Last Decade
Cheng‐Hong Wei
15 papers receiving 378 citations
Peers
Comparison fields: 5 of 61
- Genetics 129
- Immunology 171
- Oncology 91
- Cancer Research 38
- Hematology 23
Countries citing papers authored by Cheng‐Hong Wei
This map shows the geographic impact of Cheng‐Hong Wei'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 Cheng‐Hong Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng‐Hong Wei more than expected).
Fields of papers citing papers by Cheng‐Hong Wei
This network shows the impact of papers produced by Cheng‐Hong Wei. 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 Cheng‐Hong Wei. The network helps show where Cheng‐Hong Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Cheng‐Hong Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 144 | |
| 2 | 2004 | 65 | |
| 3 | 2015 | 33 | |
| 4 | 2013 | 22 | |
| 5 | 2008 | 16 | |
| 6 | 2001 | 15 | |
| 7 | 2010 | 14 | |
| 8 | 1999 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2014 | 12 | |
| 11 | 2005 | 11 | |
| 12 | 2017 | 9 | |
| 13 | 2007 | 7 | |
| 14 | 2002 | 5 | |
| 15 | 2003 | 4 |
About Cheng‐Hong Wei
Cheng‐Hong Wei is a scholar working on Immunology, Molecular Biology, Cancer Research, Surgery and Genetics, having authored 15 papers that have together received 382 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), MicroRNA in disease regulation (2 papers), Mesenchymal stem cell research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Cell death mechanisms and regulation (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Genetics (129 citations), Immunology (171 citations), Oncology (91 citations), Cancer Research (38 citations) and Hematology (23 citations). Cheng‐Hong Wei has collaborated with scholars based in United States, Sweden and Canada. Frequent co-authors include Steven R. Bauer, Jessica Lo Surdo, Matthew W. Klinker, Ross A. Marklein, Maria G. Masucci, Victor Levitsky, Elena Sandalova, Linda A. Sherman, Hideo Yagita∥ and William L. Redmond. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Cell & Bioscience, Human Immunology and Xenotransplantation.
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.