María May
Impact in
- Reproductive Medicine top 10%
- Ovarian function and disorders
-
- Drug Transport and Resistance Mechanisms
- Cancer Cells and Metastasis
- HER2/EGFR in Cancer Research
Papers in
-
- Ovarian cancer diagnosis and treatment 3
- Endometriosis Research and Treatment 3
- Oncology 14
- Drug Transport and Resistance Mechanisms 5
- Cancer Cells and Metastasis 4
- HER2/EGFR in Cancer Research 4
- Co-authors
- Claudia LanariMarina RiggioVirginia NovaroMartı́n C. AbbaMaría Jimena RodriguezAlfredo MolinoloNatalia PascualiLeopoldina Scotti
- Journals
- Oncotarget (3 papers)Molecular Human Reproduction (2 papers)Scientific Reports (2 papers)The Journal of Pathology Clinical Research (1 paper)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- ArgentinaUnited StatesSpain
In The Last Decade
María May
29 papers receiving 560 citations
Peers
Comparison fields: 5 of 80
- Reproductive Medicine 97
- Oncology 189
- Cancer Research 90
- Immunology 88
- Genetics 114
Countries citing papers authored by María May
This map shows the geographic impact of María May'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 María May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María May more than expected).
Fields of papers citing papers by María May
This network shows the impact of papers produced by María May. 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 María May. The network helps show where María May may publish in the future.
Co-authors
The 25 scholars most cited alongside María May, 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 | 2024 | 1 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 2 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 4 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 10 | |
| 10 | 2020 | 20 | |
| 11 | 2019 | 6 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 5 | |
| 14 | 2017 | 15 | |
| 15 | 2017 | 11 | |
| 16 | 2017 | 105 | |
| 17 | 2015 | 7 | |
| 18 | 2014 | 28 | |
| 19 | 2013 | 19 | |
| 20 | alpha-(3,4-dimethyoxyphenyl)-3,4-dihydro-6,7-dimethoxy-alpha- [(4-methylphenyl)thio]-2(1H)-isoquinolineheptanenitrile (CL 329,753): a novel chemosensitizing agent for P-glycoprotein-mediated resistance with improved biological properties compared with verapamil and cyclosporine A. | 1996 | 8 |
About María May
María May is a scholar working on Reproductive Medicine, Oncology, Cancer Research, Obstetrics and Gynecology and Genetics, having authored 29 papers that have together received 569 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Drug Transport and Resistance Mechanisms (5 papers), Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (4 papers), Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Endometriosis Research and Treatment (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Reproductive Medicine (97 citations), Oncology (189 citations), Cancer Research (90 citations), Immunology (88 citations) and Genetics (114 citations). María May has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Claudia Lanari, Marina Riggio, Virginia Novaro, Martı́n C. Abba, María Jimena Rodriguez, Alfredo Molinolo, Natalia Pascuali, Leopoldina Scotti, Dalhia Abramovich and Fernanda Parborell. Their work appears in journals such as Oncotarget, Molecular Human Reproduction, Scientific Reports, The Journal of Pathology Clinical Research and International Journal of Biological Macromolecules.
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.