D. Dondi

52 papers receiving 1.4k citations

Peers

D. Dondi
Comparison fields: 5 of 93
  • Reproductive Medicine 461
  • Behavioral Neuroscience 141
  • Endocrinology, Diabetes and Metabolism 318
  • Endocrine and Autonomic Systems 100
  • Cellular and Molecular Neuroscience 268
Replace M. Motta with:
M. Motta Italy
Mátyás Fekete United States
Andrée Tixier‐Vidal France
Yasushi Masuda Japan
Manami Tsutsumi United States
Hagit Shapira Israel
Chia-Ping Chang United States
D. Gourdji France
R. Maurer Switzerland
Thomas G. Sherman United States
D. Dondi relative to M. Motta Italy M. Motta's profile →
Citations per field
00.5×1.5×
M. Motta · 1×
Citations per year

Countries citing papers authored by D. Dondi

Since Specialization
Citations

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

Fields of papers citing papers by D. Dondi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 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 1999117
4 199681
5 200070
6 199568
7 199355
8 199954
9 199851
10 199845
11 200645
12 201044
13 198742
14 198933
15 199627
16 199224
17 200324
18 199522
19 200122
20 201021

About D. Dondi

D. Dondi is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (17 papers), Hypothalamic control of reproductive hormones (16 papers), Neuropeptides and Animal Physiology (15 papers), Hormonal and reproductive studies (14 papers), Estrogen and related hormone effects (12 papers), Receptor Mechanisms and Signaling (11 papers), Prostate Cancer Treatment and Research (7 papers) and Neuroendocrine regulation and behavior (6 papers). The work is most often cited by research in Reproductive Medicine (461 citations), Behavioral Neuroscience (141 citations), Endocrinology, Diabetes and Metabolism (318 citations), Endocrine and Autonomic Systems (100 citations) and Cellular and Molecular Neuroscience (268 citations). D. Dondi has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Patrízia Limonta, Roberta M. Moretti, Roberto Maggi, Marina Montagnani Marelli, M. Motta, Flavio Piva, Francesco Piva, L. Martini, Marcella Motta and Enrico Garattini. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, The Journal of Clinical Endocrinology & Metabolism, Neuroendocrinology, Endocrinology and Life Sciences.

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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