Claudia Pinelli

1.7k citations
84 papers · 1.3k · h-index 23

Impact in

Papers in

Claudia Pinelli

79 papers receiving 1.3k citations

Peers

Claudia Pinelli
Comparison fields: 5 of 144
  • Reproductive Medicine 368
  • Sensory Systems 118
  • Endocrine and Autonomic Systems 145
  • Physiology 94
  • Cellular and Molecular Neuroscience 369
Replace David B. Morton with:
David B. Morton United States
Jorge F. Rodriguez‐Sierra United States
Motoshi Kikuchi Japan
Shizuko Murakami Japan
M.P. Dubois France
Robert A. Taft United States
Celeste R. Wirsig‐Wiechmann United States
Hiroko Ohki‐Hamazaki Japan
Kazumasa Kurosumi Japan
Jens Vanselow Germany
Claudia Pinelli relative to David B. Morton United States David B. Morton's profile →
Citations per field
00.5×3.0×
David B. Morton · 1×
Citations per year

Countries citing papers authored by Claudia Pinelli

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Pinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Claudia Pinelli, 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 Claudia Pinelli Line = papers co-authored together Claudia Pinelli 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 202093
2 200175
3 200153
4 201153
5 200549
6 200043
7 201438
8 200638
9 200036
10 199536
11 202132
12 199631
13 201230
14 199828
15 199728
16 202127
17 201227
18 199927
19 200425
20 199625

About Claudia Pinelli

Claudia Pinelli is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Genetics, Social Psychology and Endocrine and Autonomic Systems, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (20 papers), Human-Animal Interaction Studies (14 papers), Neuropeptides and Animal Physiology (11 papers), Olfactory and Sensory Function Studies (10 papers), Neuroendocrine regulation and behavior (10 papers), Regulation of Appetite and Obesity (10 papers), Neurobiology and Insect Physiology Research (9 papers) and Animal Behavior and Welfare Studies (9 papers). The work is most often cited by research in Reproductive Medicine (368 citations), Sensory Systems (118 citations), Endocrine and Autonomic Systems (145 citations), Physiology (94 citations) and Cellular and Molecular Neuroscience (369 citations). Claudia Pinelli has collaborated with scholars based in Italy, France and Germany. Frequent co-authors include Biagio D’Aniello, Rakesh K. Rastogi, Anna Scandurra, Maria Maddalena Di Fiore, Maria Fiorentino, Arun G. Jadhao, Massimo Aria, Alessandra Santillo, Gabriella Chieffi Baccari and Dietrich L. Meyer. Their work appears in journals such as Animal Cognition, Cell and Tissue Research, General and Comparative Endocrinology, The Journal of Comparative Neurology and Animals.

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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