M. Peracchi

92 papers receiving 2.4k citations

Peers

M. Peracchi
Comparison fields: 5 of 96
  • Gastroenterology 403
  • Endocrine and Autonomic Systems 438
  • Neurology 510
  • Endocrinology, Diabetes and Metabolism 513
  • Epidemiology 1.0k
Replace J.M. Polak with:
J.M. Polak United Kingdom
G. Lundqvist Sweden
C. J. Hillyard United Kingdom
Aart‐Jan van der Lely Netherlands
A Gómez-Pan Spain
Domhnall O’Halloran United Kingdom
Margarita Raygada United States
Cary W. Cooper United States
K.D. Buchanan United Kingdom
Jesse Z. Dong United States
M. Peracchi relative to J.M. Polak United Kingdom J.M. Polak's profile →
Citations per field
00.5×6.2×
J.M. Polak · 1×
Citations per year

Countries citing papers authored by M. Peracchi

Since Specialization
Citations

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

Fields of papers citing papers by M. Peracchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998128
2 2003123
3 2008123
4 2008100
5 200594
6 200994
7 200492
8 200385
9 200467
10 200664
11 200361
12 201461
13 199755
14 197852
15 200151
16 199950
17 200249
18 201048
19 199947
20 200147

About M. Peracchi

M. Peracchi is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology and Surgery, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (29 papers), Growth Hormone and Insulin-like Growth Factors (23 papers), Pituitary Gland Disorders and Treatments (16 papers), Neuroblastoma Research and Treatments (11 papers), Lung Cancer Research Studies (11 papers), Diet and metabolism studies (9 papers), Celiac Disease Research and Management (8 papers) and Metabolism, Diabetes, and Cancer (8 papers). The work is most often cited by research in Gastroenterology (403 citations), Endocrine and Autonomic Systems (438 citations), Neurology (510 citations), Endocrinology, Diabetes and Metabolism (513 citations) and Epidemiology (1.0k citations). M. Peracchi has collaborated with scholars based in Italy, Switzerland and Iran. Frequent co-authors include Dario Conte, Sara Massironi, Carlotta Gebbia, Clorinda Ciafardini, Eugenio Reschini, Valentina Sciola, Giuseppe Scalabrino, Maria Teresa Bardella, D. Conte and Vincenzo Cappiello. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, The American Journal of Gastroenterology, Digestive and Liver Disease and Metabolism.

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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