Baikun Wang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
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- Cell death mechanisms and regulation 8
- RNA Interference and Gene Delivery 7
- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Proteoglycans and glycosaminoglycans research 2
- Co-authors
- Christopher J. Froelich (12 shared papers)Sunil S. Metkar (10 shared papers)Srikumar M. Raja (6 shared papers)Joseph A. Trapani (1 shared paper)Miguel Aguilar‐Santelises (1 shared paper)Lars Uhlin‐Hansen (1 shared paper)Eckhard R. Podack (1 shared paper)Julián Pardo (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Immunity (2 papers)Biochemical and Biophysical Research Communications (1 paper)PLoS ONE (1 paper)Blood (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Baikun Wang
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Immunology 474
- Hematology 128
- Physiology 44
- Molecular Biology 543
- Virology 34
Countries citing papers authored by Baikun Wang
This map shows the geographic impact of Baikun Wang'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 Baikun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baikun Wang more than expected).
Fields of papers citing papers by Baikun Wang
This network shows the impact of papers produced by Baikun Wang. 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 Baikun Wang. The network helps show where Baikun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baikun Wang, 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 | 2008 | 252 | |
| 2 | 2002 | 236 | |
| 3 | 1998 | 148 | |
| 4 | 2003 | 129 | |
| 5 | 2002 | 92 | |
| 6 | 1999 | 46 | |
| 7 | 2005 | 46 | |
| 8 | 2011 | 43 | |
| 9 | 2008 | 22 | |
| 10 | CHARACTERIZATION OF THE MACROMOLECULAR COMPLEX OF GRANZYME B WITH SERGLYCIN | 2002 | 21 |
| 11 | 2003 | 20 | |
| 12 | 2010 | 18 | |
| 13 | 2008 | 9 | |
| 14 | 2005 | 4 |
About Baikun Wang
Baikun Wang is a scholar working on Molecular Biology, Cell Biology, Immunology, Pathology and Forensic Medicine and Virology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (8 papers), RNA Interference and Gene Delivery (7 papers), Glycosylation and Glycoproteins Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Cancer Mechanisms and Therapy (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Toxoplasma gondii Research Studies (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Immunology (474 citations), Hematology (128 citations), Physiology (44 citations), Molecular Biology (543 citations) and Virology (34 citations). Baikun Wang has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Christopher J. Froelich, Sunil S. Metkar, Srikumar M. Raja, Joseph A. Trapani, Miguel Aguilar‐Santelises, Lars Uhlin‐Hansen, Eckhard R. Podack, Julián Pardo, Cheikh Menaa and Prem Seth. Their work appears in journals such as Journal of Biological Chemistry, Immunity, Biochemical and Biophysical Research Communications, PLoS ONE and Blood.
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.