Weigang Wang
- Molecular Biology top 5%
- Oncology top 2%
- Cell Biology top 0.5%
- Immunology top 5%
- Cancer Research top 2%
- Co-authors
- John S. CondeelisJeffrey WyckoffJeffrey E. SegallRobert J. EddySumanta GoswamiYarong WangElaine Y. LinJeffrey W. Pollard
- Topics
- Cellular Mechanics and Interactions (11 papers)Cancer Cells and Metastasis (8 papers)Cell Adhesion Molecules Research (7 papers)
- Journals
- The Journal of Experimental MedicineJournal of Clinical OncologyThe Journal of Cell Biology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Weigang Wang
71 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.9k
- Oncology 1.6k
- Cell Biology 1.3k
- Immunology 746
- 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 of co-authors of Weigang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Weigang Wang. A scholar is included among the top collaborators of Weigang Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weigang Wang. Weigang Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 66 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 176 | |
| 7 | 22 | |
| 8 | 34 | |
| 9 | 146 | |
| 10 | 5 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 34 | |
| 14 | 144 | |
| 15 | Specific antibodies of the early diagnosis of Rheumatoid Arthritis | 1 |
| 16 | 209 | |
| 17 | 52 | |
| 18 | 367 | |
| 19 | A Paracrine Loop between Tumor Cells and Macrophages Is Required for Tumor Cell Migration in Mammary Tumorsbreakdown → | 901 |
| 20 | Use of monoclonal antibody norcantharidin conjugate in experimental targeting therapy of tumor | 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) and Cell Adhesion Molecules Research (7 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. Their work appears in journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and The Journal of Cell Biology.
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.