María May

774 citations
29 papers · 595 · h-index 15

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 4
    • Cancer Cells and Metastasis 4
    • HER2/EGFR in Cancer Research 3
    • Fibroblast Growth Factor Research 3

María May

29 papers receiving 587 citations

Peers

María May
Comparison fields: 5 of 78
  • Reproductive Medicine 74
  • Oncology 165
  • Cancer Research 73
  • Genetics 103
  • Molecular Biology 237
Replace Maciej Brązert with:
Maciej Brązert Poland
Xiangrong Cui China
Zhiming Cai China
Sébastien Flajollet France
Jerid W. Robinson United States
Elissavet Hatzi Greece
Callinice D. Capo‐chichi United States
Yibo Wu China
Seema Parte United States
G. de Gregorio Italy
María May relative to Maciej Brązert Poland Maciej Brązert's profile →
Citations per field
00.5×2.6×
Maciej Brązert · 1×
Citations per year

Countries citing papers authored by María May

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with María May Line = papers co-authored together María May links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017111
2 2018109
3 201652
4 201433
5 201429
6 201524
7 202020
8 202119
9 201719
10 201319
11 202018
12 201716
13 201816
14 201715
15 202314
16 201414
17 201711
18 202010
19 20218
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.
19968

About María May

María May is a scholar working on Oncology, Molecular Biology, Genetics, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 595 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (3 papers), Fibroblast Growth Factor Research (3 papers), Endometriosis Research and Treatment (2 papers), Ovarian function and disorders (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Reproductive Medicine (74 citations), Oncology (165 citations), Cancer Research (73 citations), Genetics (103 citations) and Molecular Biology (237 citations). María May has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Claudia Lanari, Virginia Novaro, Martı́n C. Abba, Marina Riggio, María Jimena Rodriguez, Alfredo Molinolo, Gonzalo R. Sequeira, Natalia Pascuali, Fernanda Parborell and Leopoldina Scotti. Their work appears in journals such as Oncotarget, Molecular Human Reproduction, Scientific Reports, Journal of Sport Rehabilitation 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.

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