Weigang Wang
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 7
- Cell Biology top 0.5%
- Cellular Mechanics and Interactions 11
- Oncology top 2%
- Cancer Cells and Metastasis 8
- Biophysics top 1%
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 4
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- Regulation of Appetite and Obesity 6
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- Cancer Research and Treatments 4
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- Biochemical Analysis and Sensing Techniques 4
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- Organ Donation and Transplantation 3
- Co-authors
- John S. CondeelisJeffrey WyckoffJeffrey E. SegallRobert J. EddySumanta GoswamiYarong WangElaine Y. LinJeffrey W. Pollard
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weigang Wang
71 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology and Allergy 618
- Cell Biology 1.3k
- Oncology 1.6k
- Biophysics 284
- Cancer Research 694
Countries citing papers authored by Weigang Wang
This map shows the geographic impact of Weigang 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 Weigang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weigang Wang more than expected).
Fields of papers citing papers by Weigang Wang
This network shows the impact of papers produced by Weigang 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 Weigang Wang. The network helps show where Weigang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weigang 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 | 2023 | 4 | |
| 2 | 2022 | 10 | |
| 3 | 2022 | 66 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 8 | |
| 6 | 2020 | 176 | |
| 7 | 2019 | 22 | |
| 8 | 2018 | 34 | |
| 9 | 2017 | 146 | |
| 10 | 2016 | 5 | |
| 11 | 2010 | 20 | |
| 12 | 2010 | 2 | |
| 13 | 2008 | 34 | |
| 14 | 2007 | 144 | |
| 15 | Specific antibodies of the early diagnosis of Rheumatoid Arthritis | 2006 | 1 |
| 16 | 2005 | 209 | |
| 17 | 2004 | 52 | |
| 18 | 2004 | 367 | |
| 19 | A Paracrine Loop between Tumor Cells and Macrophages Is Required for Tumor Cell Migration in Mammary Tumorsbreakdown → | 2004 | 901 |
| 20 | Use of monoclonal antibody norcantharidin conjugate in experimental targeting therapy of tumor | 1999 | 1 |
About Weigang Wang
Weigang Wang is a scholar working on Immunology and Allergy, Endocrine and Autonomic Systems and Transplantation, having authored 71 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (11 papers), Cancer Cells and Metastasis (8 papers), Cell Adhesion Molecules Research (7 papers), Regulation of Appetite and Obesity (6 papers), Cancer Research and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Organ Donation and Transplantation (3 papers). The work is most often cited by research in Immunology and Allergy (618 citations), Cell Biology (1.3k citations) and Oncology (1.6k citations). Weigang Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include John S. Condeelis, Jeffrey Wyckoff, Jeffrey E. Segall, Robert J. Eddy, Sumanta Goswami, Yarong Wang, Elaine Y. Lin, Jeffrey W. Pollard, John Condeelis and Fiona J. Pixley.
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.