M. Leitch
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
-
- Breast Cancer Treatment Studies
Papers in
-
- Breast Cancer Treatment Studies 7
- Cancer Genomics and Diagnostics 1
- Oncology 4
- Co-authors
- Serdar E. Bulun (1 shared paper)Veena R. Agarwal (1 shared paper)Rachel N. Rohrich (1 shared paper)E R Simpson (1 shared paper)Andrew K. Stewart (1 shared paper)Elizabeth Ward (1 shared paper)Michael T. Halpern (1 shared paper)Nicole M. Schrag (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (6 papers)Cancer Research (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)Breast Cancer Research and Treatment (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
M. Leitch
12 papers receiving 351 citations
Peers
Comparison fields: 5 of 56
- Genetics 182
- Cancer Research 86
- Oncology 103
- Reproductive Medicine 26
- Pharmacology 33
Countries citing papers authored by M. Leitch
This map shows the geographic impact of M. Leitch'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 M. Leitch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Leitch more than expected).
Fields of papers citing papers by M. Leitch
This network shows the impact of papers produced by M. Leitch. 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 M. Leitch. The network helps show where M. Leitch may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Leitch, 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 | 1996 | 227 | |
| 2 | 2008 | 74 | |
| 3 | 2016 | 33 | |
| 4 | 2012 | 12 | |
| 5 | 2021 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 2 | |
| 8 | 2017 | 1 | |
| 9 | 2012 | 1 | |
| 10 | 2014 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2016 | 1 |
About M. Leitch
M. Leitch is a scholar working on Cancer Research, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 12 papers that have together received 358 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Advanced Radiotherapy Techniques (2 papers), Nonmelanoma Skin Cancer Studies (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Estrogen and related hormone effects (1 paper), Cancer Genomics and Diagnostics (1 paper), Head and Neck Cancer Studies (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Genetics (182 citations), Cancer Research (86 citations), Oncology (103 citations), Reproductive Medicine (26 citations) and Pharmacology (33 citations). M. Leitch has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Serdar E. Bulun, Veena R. Agarwal, Rachel N. Rohrich, E R Simpson, Andrew K. Stewart, Elizabeth Ward, Michael T. Halpern, Nicole M. Schrag, Deborah Farr and Asal Rahimi. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer Research, The Journal of Clinical Endocrinology & Metabolism, Breast Cancer Research and Treatment and JNCI Journal of the National Cancer Institute.
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.