Changshou Gao
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Oncology top 5%
- Immunology top 10%
- Organic Chemistry top 10%
- Co-authors
- Herren WuShenlan MaoKim D. JandaNazzareno DimasiRyan FlemingPeter WirschingWilliam F. Dall’AcquaVaheh Oganesyan
- Topics
- Monoclonal and Polyclonal Antibodies Research (54 papers)HER2/EGFR in Cancer Research (24 papers)Glycosylation and Glycoproteins Research (22 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Changshou Gao
67 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 1.7k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Oncology 885
- Immunology 422
- Organic Chemistry 324
Countries citing papers authored by Changshou Gao
This map shows the geographic impact of Changshou Gao'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 Changshou Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changshou Gao more than expected).
Fields of papers citing papers by Changshou Gao
This network shows the impact of papers produced by Changshou Gao. 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 Changshou Gao. The network helps show where Changshou Gao may publish in the future.
Co-authorship network of co-authors of Changshou Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Changshou Gao. A scholar is included among the top collaborators of Changshou Gao 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 Changshou Gao. Changshou Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 20 | |
| 5 | 31 | |
| 6 | 28 | |
| 7 | 21 | |
| 8 | 2 | |
| 9 | 45 | |
| 10 | 55 | |
| 11 | 58 | |
| 12 | Chapter Twelve - Antibody-Drug Conjugates | 4 |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 215 | |
| 16 | 53 | |
| 17 | 75 | |
| 18 | 30 | |
| 19 | 35 | |
| 20 | 31 |
About Changshou Gao
Changshou Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Immunology and Allergy, having authored 67 papers that have together received 2.9k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (54 papers), HER2/EGFR in Cancer Research (24 papers) and Glycosylation and Glycoproteins Research (22 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.6k citations), Oncology (885 citations) and Molecular Biology (1.7k citations). Changshou Gao has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Herren Wu, Shenlan Mao, Kim D. Janda, Nazzareno Dimasi, Ryan Fleming, Peter Wirsching, William F. Dall’Acqua, Vaheh Oganesyan, Richard A. Lerner and Binyam Bezabeh. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.