Gail M. Clinton
- Molecular Biology top 10%
- Oncology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Genetics top 5%
- Reproductive Medicine top 2%
- Co-authors
- Alice HuangEdward J. KeenanM F LinJoni K. DohertyElizabeth E. RamseyWenhui HuaTracy A. ChristiansonBoyce W. Burge
- Topics
- Monoclonal and Polyclonal Antibodies Research (15 papers)HER2/EGFR in Cancer Research (14 papers)Virus-based gene therapy research (11 papers)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Gail M. Clinton
43 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 872
- Oncology 800
- Radiology, Nuclear Medicine and Imaging 571
- Genetics 544
- Reproductive Medicine 354
Countries citing papers authored by Gail M. Clinton
This map shows the geographic impact of Gail M. Clinton'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 Gail M. Clinton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gail M. Clinton more than expected).
Fields of papers citing papers by Gail M. Clinton
This network shows the impact of papers produced by Gail M. Clinton. 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 Gail M. Clinton. The network helps show where Gail M. Clinton may publish in the future.
Co-authorship network of co-authors of Gail M. Clinton
This figure shows the co-authorship network connecting the top 25 collaborators of Gail M. Clinton. A scholar is included among the top collaborators of Gail M. Clinton 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 Gail M. Clinton. Gail M. Clinton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 161 | |
| 3 | Herstatin, an autoinhibitor of the epidermal growth factor receptor family, blocks the intracranial growth of glioblastoma. | 24 |
| 4 | 91 | |
| 5 | 27 | |
| 6 | NH(2)-terminal truncated HER-2 protein but not full-length receptor is associated with nodal metastasis in human breast cancer. | 177 |
| 7 | 35 | |
| 8 | 48 | |
| 9 | 107 | |
| 10 | 12 | |
| 11 | NH2-terminally truncated HER-2/neu protein: relationship with shedding of the extracellular domain and with prognostic factors in breast cancer. | 206 |
| 12 | 74 | |
| 13 | 39 | |
| 14 | 73 | |
| 15 | 4 | |
| 16 | 164 | |
| 17 | 3 | |
| 18 | 15 | |
| 19 | 9 | |
| 20 | 121 |
About Gail M. Clinton
Gail M. Clinton is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 45 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (15 papers), HER2/EGFR in Cancer Research (14 papers) and Virus-based gene therapy research (11 papers). The work is most often cited by research in Reproductive Medicine (354 citations), Obstetrics and Gynecology (265 citations) and Oncology (800 citations). Gail M. Clinton has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Alice Huang, Edward J. Keenan, M F Lin, Joni K. Doherty, Elizabeth E. Ramsey, Wenhui Hua, Tracy A. Christianson, Boyce W. Burge, David D. Brandon and Miles J. Novy. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.