P. Paccotti

2.4k total citations
59 papers, 1.8k citations indexed

About

P. Paccotti is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Endocrine and Autonomic Systems. According to data from OpenAlex, P. Paccotti has authored 59 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in P. Paccotti's work include Pituitary Gland Disorders and Treatments (26 papers), Adrenal and Paraganglionic Tumors (17 papers) and Hormonal Regulation and Hypertension (16 papers). P. Paccotti is often cited by papers focused on Pituitary Gland Disorders and Treatments (26 papers), Adrenal and Paraganglionic Tumors (17 papers) and Hormonal Regulation and Hypertension (16 papers). P. Paccotti collaborates with scholars based in Italy, Poland and Croatia. P. Paccotti's co-authors include Alberto Angeli, Massimo Terzolo, Giuseppe Reimondo, Anna Alı̀, G. Osella, Giorgio Borretta, Marco Alessandro Minetto, Silvia Bovio, Alessandro Piovesan and A Termine and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and British Journal of Cancer.

In The Last Decade

P. Paccotti

58 papers receiving 1.7k citations

Peers

P. Paccotti
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Surgery 847
  • Cancer Research 267
  • Molecular Biology 141
  • Orthopedics and Sports Medicine 139
Replace Bruno Ambrosi with:
Bruno Ambrosi Italy
G Pieters Netherlands
Andrea Giustina Italy
Bernhard Saller Germany
J P Luton France
Takeshi Nigawara Japan
S. E. Christensen Denmark
Richard I. Dorin United States
Óskar Ragnarsson Sweden
Züleyha Karaca Türkiye
Bruno Ambrosi Italy View profile →
Citations per field, relative to P. Paccotti
P. Paccotti · 1×
Citations per year, relative to P. Paccotti
P. Paccotti · 1×

Countries citing papers authored by P. Paccotti

Since Specialization
Citations

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

Fields of papers citing papers by P. Paccotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Paccotti

This figure shows the co-authorship network connecting the top 25 collaborators of P. Paccotti. A scholar is included among the top collaborators of P. Paccotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Paccotti. P. Paccotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 1
3 22
4 15
5 8
6 14
7 17
8 49
9 264
10 45
11 7
12 48
13 17
14 68
15 26
16 3
17 14
18 3
19 16
20
[Evaluation of some blood clotting parameters in relation to the administration of estroprogestins].
1

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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