Keely May McNamara
- Cancer Research top 5%
- Breast Cancer Treatment Studies 18
- Oncology top 5%
- HER2/EGFR in Cancer Research 13
- Cancer Cells and Metastasis 4
- Cancer Treatment and Pharmacology 4
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- Hormonal and reproductive studies 13
- Hormonal Regulation and Hypertension 8
- Genetics top 5%
- Estrogen and related hormone effects 28
- Reproductive Medicine top 10%
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- Prostate Cancer Treatment and Research 15
- Co-authors
- Hironobu SasanoYasuhiro MikiYasuhiro NakamuraTakanori IshidaTakashi SuzukiUlla SimanainenDavid J. HandelsmanKiyoshi Takagi
- Journals
- SHILAP Revista de lepidopterología (2 papers)Cancer Research (1 paper)Endocrinology (1 paper)
In The Last Decade
Keely May McNamara
70 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 479
- Oncology 495
- Endocrinology, Diabetes and Metabolism 289
- Genetics 466
- Reproductive Medicine 97
Countries citing papers authored by Keely May McNamara
This map shows the geographic impact of Keely May McNamara'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 Keely May McNamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keely May McNamara more than expected).
Fields of papers citing papers by Keely May McNamara
This network shows the impact of papers produced by Keely May McNamara. 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 Keely May McNamara. The network helps show where Keely May McNamara may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keely May McNamara, 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 | 2020 | 3 | |
| 2 | 2020 | 15 | |
| 3 | 2018 | 31 | |
| 4 | 2018 | 9 | |
| 5 | 2018 | 14 | |
| 6 | 2017 | 27 | |
| 7 | 2017 | 15 | |
| 8 | 2016 | 13 | |
| 9 | 2016 | 4 | |
| 10 | 2015 | 5 | |
| 11 | 2015 | 18 | |
| 12 | 2014 | 33 | |
| 13 | 2014 | 16 | |
| 14 | 2014 | 112 | |
| 15 | 2014 | 18 | |
| 16 | 2013 | 21 | |
| 17 | 2013 | 13 | |
| 18 | 2012 | 111 | |
| 19 | 2011 | 6 | |
| 20 | 2010 | 13 |
About Keely May McNamara
Keely May McNamara is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Genetics, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (28 papers), Breast Cancer Treatment Studies (18 papers), Prostate Cancer Treatment and Research (15 papers), Hormonal and reproductive studies (13 papers), HER2/EGFR in Cancer Research (13 papers), Hormonal Regulation and Hypertension (8 papers), Cancer Cells and Metastasis (4 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Cancer Research (479 citations), Oncology (495 citations) and Endocrinology, Diabetes and Metabolism (289 citations). Keely May McNamara has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Hironobu Sasano, Yasuhiro Miki, Yasuhiro Nakamura, Takanori Ishida, Takashi Suzuki, Ulla Simanainen, David J. Handelsman, Kiyoshi Takagi, Noriaki Ohuchi and Wayne D. Tilley. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Endocrinology.
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.