M. Motta

77 papers receiving 1.6k citations

Peers

M. Motta
Comparison fields: 5 of 106
  • Reproductive Medicine 513
  • Behavioral Neuroscience 142
  • Endocrinology, Diabetes and Metabolism 493
  • Endocrine and Autonomic Systems 170
  • Genetics 400
Replace J. C. Porter with:
J. C. Porter United States
Marcella Motta Italy
D. Dondi Italy
Wesley C. Hymer United States
Amal K. Mukhopadhyay Germany
Hideki Katakami Japan
D.A. Leong United States
Shuji Hirata Japan
Iain C.A.F. Robinson United Kingdom
A. Dupont Canada
M. Motta relative to J. C. Porter United States J. C. Porter's profile →
Citations per field
00.5×6.3×
J. C. Porter · 1×
Citations per year

Countries citing papers authored by M. Motta

Since Specialization
Citations

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

Fields of papers citing papers by M. Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Motta. 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. Motta. The network helps show where M. Motta may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992135
2
Antiproliferative effects of luteinizing hormone-releasing hormone (LHRH) agonists on human androgen-independent prostate cancer cell line DU 145: evidence for an autocrine-inhibitory LHRH loop.
1994126
3 199681
4 197381
5
Sexual differentiation of the brain: role of testosterone and its active metabolites.
200475
6 197371
7 200066
8 198564
9 196864
10 200660
11 199954
12 200652
13 199346
14 200741
15 200137
16 198637
17 200135
18 200334
19 198233
20 198629

About M. Motta

M. Motta is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Behavioral Neuroscience and Cellular and Molecular Neuroscience, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (24 papers), Hormonal and reproductive studies (21 papers), Stress Responses and Cortisol (13 papers), Estrogen and related hormone effects (12 papers), Neuropeptides and Animal Physiology (12 papers), Growth Hormone and Insulin-like Growth Factors (10 papers), Regulation of Appetite and Obesity (9 papers) and Sexual Differentiation and Disorders (7 papers). The work is most often cited by research in Reproductive Medicine (513 citations), Behavioral Neuroscience (142 citations), Endocrinology, Diabetes and Metabolism (493 citations), Endocrine and Autonomic Systems (170 citations) and Genetics (400 citations). M. Motta has collaborated with scholars based in Italy, Germany and Hungary. Frequent co-authors include L. Martini, Patrízia Limonta, Roberta M. Moretti, D. Dondi, Marina Montagnani Marelli, Roberto Maggi, Francesco Piva, F. Celotti, Paolo Magni and M. Zanisi. Their work appears in journals such as European Journal of Endocrinology, Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Molecular and Cellular Endocrinology and Journal of Endocrinology.

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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