IA Mayer
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer Treatment and Pharmacology
- Cancer-related Molecular Pathways
-
- Advanced Breast Cancer Therapies
Papers in
-
- Advanced Breast Cancer Therapies 19
- Lung Cancer Treatments and Mutations 2
- Oncology 20
- Cancer Treatment and Pharmacology 14
- HER2/EGFR in Cancer Research 9
- Cancer-related Molecular Pathways 2
- Co-authors
- Dejan Juric (7 shared papers)Aditya Bardia (8 shared papers)Joyce O’Shaughnessy (4 shared papers)Kevin Kalinsky (4 shared papers)Linda T. Vahdat (3 shared papers)Jennifer R. Diamond (3 shared papers)R Moroose (3 shared papers)David M. Goldenberg (1 shared paper)
- Journals
- Cancer Research (21 papers)Annals of Oncology (2 papers)Journal of Clinical Oncology (1 paper)European Journal of Cancer (1 paper)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
IA Mayer
25 papers receiving 295 citations
Peers
Comparison fields: 5 of 29
- Oncology 236
- Pulmonary and Respiratory Medicine 170
- Genetics 50
- Cancer Research 66
- Radiology, Nuclear Medicine and Imaging 43
Countries citing papers authored by IA Mayer
This map shows the geographic impact of IA Mayer'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 IA Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IA Mayer more than expected).
Fields of papers citing papers by IA Mayer
This network shows the impact of papers produced by IA Mayer. 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 IA Mayer. The network helps show where IA Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside IA Mayer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 111 | |
| 2 | 2019 | 45 | |
| 3 | 2016 | 30 | |
| 4 | 2009 | 16 | |
| 5 | 2018 | 12 | |
| 6 | 2018 | 11 | |
| 7 | 2013 | 11 | |
| 8 | 2013 | 11 | |
| 9 | 2012 | 10 | |
| 10 | 2011 | 7 | |
| 11 | 2017 | 4 | |
| 12 | 2011 | 4 | |
| 13 | 2019 | 3 | |
| 14 | 2011 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2018 | 3 | |
| 17 | 2004 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2016 | 2 | |
| 20 | 2019 | 1 |
About IA Mayer
IA Mayer is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 297 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (19 papers), Cancer Treatment and Pharmacology (14 papers), HER2/EGFR in Cancer Research (9 papers), PI3K/AKT/mTOR signaling in cancer (7 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related Molecular Pathways (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Oncology (236 citations), Pulmonary and Respiratory Medicine (170 citations), Genetics (50 citations), Cancer Research (66 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). IA Mayer has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Dejan Juric, Aditya Bardia, Joyce O’Shaughnessy, Kevin Kalinsky, Linda T. Vahdat, Jennifer R. Diamond, R Moroose, David M. Goldenberg, Q. Hong and Sara M. Tolaney. Their work appears in journals such as Cancer Research, Annals of Oncology, Journal of Clinical Oncology and European Journal of Cancer.
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.