Mario Perelló

133 papers receiving 6.1k citations

Peers

Mario Perelló
Comparison fields: 5 of 137
  • Endocrine and Autonomic Systems 4.3k
  • Nutrition and Dietetics 2.3k
  • Physiology 2.6k
  • Behavioral Neuroscience 323
  • Geriatrics and Gerontology 226
Replace Marcelo O. Dietrich with:
Marcelo O. Dietrich United States
Charles V. Mobbs United States
Chun‐Xia Yi Netherlands
Carol Fuzeti Elias United States
Jose Donato Jr Brazil
Ichiro Sakata Japan
Stephen C. Benoit United States
D G Baskin United States
Qingchun Tong United States
Jeffrey Marc Zigman United States
Mario Perelló relative to Marcelo O. Dietrich United States Marcelo O. Dietrich's profile →
Citations per field
00.5×1.5×2.1×
Marcelo O. Dietrich · 1×
Citations per year

Countries citing papers authored by Mario Perelló

Since Specialization
Citations

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

Fields of papers citing papers by Mario Perelló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007471
2 2009310
3 2011278
4 2010205
5 2019200
6 2009173
7 2018148
8 2014142
9 2014135
10 2013132
11 2012125
12 2011112
13 2010104
14 2012100
15 201596
16 201793
17 201489
18 201388
19 201488
20 200985

About Mario Perelló

Mario Perelló is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics, Physiology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 135 papers that have together received 6.2k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (111 papers), Biochemical Analysis and Sensing Techniques (61 papers), Adipose Tissue and Metabolism (54 papers), Diet and metabolism studies (11 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Pancreatic function and diabetes (7 papers) and Hypothalamic control of reproductive hormones (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.3k citations), Nutrition and Dietetics (2.3k citations), Physiology (2.6k citations), Behavioral Neuroscience (323 citations) and Geriatrics and Gerontology (226 citations). Mario Perelló has collaborated with scholars based in Argentina, United States and Sweden. Frequent co-authors include Jeffrey Marc Zigman, Agustina Cabral, Eduardo A. Nillni, Pablo Nicolás De Francesco, Sherri L. Osborne-Lawrence, Ichiro Sakata, Gimena Fernández, Mirta Beatriz Reynaldo, Jen-Chieh Chuang and Jesica Raingo. Their work appears in journals such as Endocrinology, PLoS ONE, Journal of Neuroendocrinology, Psychoneuroendocrinology and Molecular and Cellular Endocrinology.

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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