Wei Han
Impact in
- Cancer Research top 5%
- NF-κB Signaling Pathways
- Immunology top 5%
- Immune Response and Inflammation
- Immune cells in cancer
Papers in
- Immunology 21
- Immune Response and Inflammation 14
- Immunotherapy and Immune Responses 5
- Co-authors
- Timothy S. Blackwell (13 shared papers)Fiona E. Yull (10 shared papers)Vasiliy V. Polosukhin (8 shared papers)Taylor P. Sherrill (8 shared papers)Georgios T. Stathopoulos (6 shared papers)Linda A. Gleaves (6 shared papers)Yingqi Zhang (16 shared papers)Dong‐Sheng Cheng (3 shared papers)
- Journals
- Protein Expression and Purification (4 papers)The Journal of Immunology (4 papers)Animals (2 papers)BioMed Research International (2 papers)Cellular Immunology (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Wei Han
76 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 357
- Immunology 492
- Genetics 126
- Molecular Biology 835
- Biomaterials 139
Countries citing papers authored by Wei Han
This map shows the geographic impact of Wei Han'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 Wei Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Han more than expected).
Fields of papers citing papers by Wei Han
This network shows the impact of papers produced by Wei Han. 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 Wei Han. The network helps show where Wei Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Han, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 286 | |
| 2 | 2007 | 165 | |
| 3 | 2007 | 147 | |
| 4 | 2011 | 120 | |
| 5 | 2011 | 116 | |
| 6 | 2011 | 101 | |
| 7 | 2012 | 98 | |
| 8 | 2011 | 92 | |
| 9 | 2008 | 84 | |
| 10 | 2016 | 82 | |
| 11 | 2005 | 80 | |
| 12 | 2003 | 78 | |
| 13 | 2013 | 71 | |
| 14 | 2008 | 52 | |
| 15 | 2018 | 36 | |
| 16 | 1993 | 34 | |
| 17 | 2012 | 30 | |
| 18 | 2007 | 24 | |
| 19 | [Levofloxacin-based triple therapy for first-line Helicobacter pylori eradication treatment: a multi-central, randomized, controlled clinical study]. | 2010 | 23 |
| 20 | 2015 | 23 |
About Wei Han
Wei Han is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Genetics, having authored 80 papers that have together received 2.2k indexed citations. Recurring topics across this work include Immune Response and Inflammation (14 papers), NF-κB Signaling Pathways (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Animal Genetics and Reproduction (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (357 citations), Immunology (492 citations), Genetics (126 citations), Molecular Biology (835 citations) and Biomaterials (139 citations). Wei Han has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Timothy S. Blackwell, Fiona E. Yull, Vasiliy V. Polosukhin, Taylor P. Sherrill, Georgios T. Stathopoulos, Linda A. Gleaves, Yingqi Zhang, Dong‐Sheng Cheng, Barbara Fingleton and Fei He. Their work appears in journals such as Protein Expression and Purification, The Journal of Immunology, Animals, BioMed Research International and Cellular 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.