Maria E. Costa

43 papers receiving 2.0k citations

Peers

Maria E. Costa
Comparison fields: 5 of 90
  • Reproductive Medicine 1.1k
  • Behavioral Neuroscience 130
  • Endocrine and Autonomic Systems 246
  • Developmental Neuroscience 131
  • Cellular and Molecular Neuroscience 435
Replace H. M. Charlton with:
H. M. Charlton United Kingdom
Rula Abbud United States
Xinhuai Liu New Zealand
Martin G. Todman United Kingdom
Hubert W. Burden United States
Jorge F. Rodriguez‐Sierra United States
Christine L. Jasoni New Zealand
T. M. Plant United States
Colin M. Clay United States
Francisco Gaytán Spain
Maria E. Costa relative to H. M. Charlton United Kingdom H. M. Charlton's profile →
Citations per field
00.5×1.5×
H. M. Charlton · 1×
Citations per year

Countries citing papers authored by Maria E. Costa

Since Specialization
Citations

This map shows the geographic impact of Maria E. Costa'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 Maria E. Costa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria E. Costa more than expected).

Fields of papers citing papers by Maria E. Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria E. Costa. 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 Maria E. Costa. The network helps show where Maria E. Costa may publish in the future.

Co-authors

The 25 scholars most cited alongside Maria E. Costa, 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 Maria E. Costa Line = papers co-authored together Maria E. Costa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994184
2 1992155
3 1990145
4 1997142
5 1996131
6 199989
7 200087
8 199483
9 199175
10 199668
11 199968
12 199068
13 199966
14 199756
15 200055
16 199655
17 200549
18 199144
19 198644
20 198642

About Maria E. Costa

Maria E. Costa is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health and Molecular Biology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (13 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Reproductive Biology and Fertility (6 papers), Reproductive System and Pregnancy (5 papers), Regulation of Appetite and Obesity (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroendocrine regulation and behavior (4 papers) and Veterinary Oncology Research (3 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Behavioral Neuroscience (130 citations), Endocrine and Autonomic Systems (246 citations), Developmental Neuroscience (131 citations) and Cellular and Molecular Neuroscience (435 citations). Maria E. Costa has collaborated with scholars based in United States, Brazil and South Korea. Frequent co-authors include Sergio R. Ojeda, Gregory A. Dissen, Diane F. Hill, Ying Jun, Hernán E. Lara, Henryk F. Urbanski, Marie‐Pierre Junier, Kathy H. Katz, Artur Mayerhofer and Wolf H. Fahrenbach. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Journal of Medical Primatology, Journal of Neuroscience and Neuroendocrinology.

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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