M. Peracchi

92 papers receiving 2.5k citations

Peers

M. Peracchi
Comparison fields: 5 of 91
  • Gastroenterology 353
  • Endocrine and Autonomic Systems 401
  • Endocrinology, Diabetes and Metabolism 498
  • Epidemiology 929
  • Neurology 387
Replace G. Lundqvist with:
G. Lundqvist Sweden
A Gómez-Pan Spain
Cary W. Cooper United States
Margarita Raygada United States
Joseph S. Dillon United States
Phillip L. Rayford United States
Domhnall O’Halloran Ireland
Anna M. Eisentraut United States
N Surico Italy
S. Efendić Sweden
M. Peracchi relative to G. Lundqvist Sweden G. Lundqvist's profile →
Citations per field
00.5×10.3×
G. Lundqvist · 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 1998133
2 2008129
3 2003128
4 2009115
5 2008101
6 2005100
7 200496
8 200395
9 199777
10 200469
11 200668
12 201463
13 200361
14 200158
15 197858
16 197455
17 199953
18 201052
19 199951
20 200450

About M. Peracchi

M. Peracchi is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology, Gastroenterology and Physiology, having authored 93 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (23 papers), Growth Hormone and Insulin-like Growth Factors (21 papers), Pituitary Gland Disorders and Treatments (15 papers), Celiac Disease Research and Management (8 papers), Metabolism, Diabetes, and Cancer (7 papers), Diet and metabolism studies (7 papers), Regulation of Appetite and Obesity (6 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Gastroenterology (353 citations), Endocrine and Autonomic Systems (401 citations), Endocrinology, Diabetes and Metabolism (498 citations), Epidemiology (929 citations) and Neurology (387 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, Digestive and Liver Disease, The American Journal of Gastroenterology 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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