M Pellicano

66 papers receiving 1.2k citations

Peers

M Pellicano
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 250
  • Behavioral Neuroscience 73
  • Reproductive Medicine 160
  • Cellular and Molecular Neuroscience 353
  • Endocrine and Autonomic Systems 106
Replace Ana Paula Tanno with:
Ana Paula Tanno Brazil
Haluk Keleştimur Türkiye
Gonzalo A. Carrasco United States
Ramón Sotomayor‐Zárate Chile
Sinan Canpolat Türkiye
Amparo Romero Spain
Susan Barron United States
Dawid Szczepankiewicz Poland
Jianqun Yan China
M Pellicano relative to Ana Paula Tanno Brazil Ana Paula Tanno's profile →
Citations per field
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Ana Paula Tanno · 1×
Citations per year

Countries citing papers authored by M Pellicano

Since Specialization
Citations

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

Fields of papers citing papers by M Pellicano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989189
2 199392
3 199886
4 199873
5 200662
6 202045
7
Topical anesthesia for office hysteroscopy. A prospective, randomized study comparing two modalities.
199941
8 198736
9 199332
10 199631
11 199730
12 199729
13 199428
14 201928
15 200827
16 199327
17 201527
18 198925
19 199822
20 199822

About M Pellicano

M Pellicano is a scholar working on Obstetrics and Gynecology, Physiology, Cellular and Molecular Neuroscience, Reproductive Medicine and Molecular Biology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Regulation of Appetite and Obesity (6 papers), Gynecological conditions and treatments (5 papers), Advanced Chemical Sensor Technologies (5 papers), Endometriosis Research and Treatment (4 papers), Diet and metabolism studies (3 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Obstetrics and Gynecology (250 citations), Behavioral Neuroscience (73 citations), Reproductive Medicine (160 citations), Cellular and Molecular Neuroscience (353 citations) and Endocrine and Autonomic Systems (106 citations). M Pellicano has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include A.G. Sadile, Frank C. Tortella, Norman G. Bowery, Carmine Nappi, Michèle Papa, Fulvio Zullo, Marcellino Monda, Costantino Di Carlo, Hans Welzl and Bruno De Luca. Their work appears in journals such as Physiology & Behavior, Human Reproduction, Food Chemistry, Behavioural Brain Research and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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