Mark Chavez

1.6k citations
30 papers · 1.3k · h-index 19

Impact in

Papers in

Mark Chavez

28 papers receiving 1.2k citations

Peers

Mark Chavez
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 883
  • Nutrition and Dietetics 480
  • Physiology 547
  • Behavioral Neuroscience 68
  • Cellular and Molecular Neuroscience 290
Replace Amber L. Alhadeff with:
Amber L. Alhadeff United States
Mayte Álvarez-Crespo Sweden
Mary M. Hagan United States
Miriam Goebel United States
David Haage Sweden
Moyra B. Lemus Australia
Paul J. Currie United States
Nicolas Salomé France
Vaibhav Konanur United States
Jennifer E. Richard Sweden
Mark Chavez relative to Amber L. Alhadeff United States Amber L. Alhadeff's profile →
Citations per field
00.5×1.6×
Amber L. Alhadeff · 1×
Citations per year

Countries citing papers authored by Mark Chavez

Since Specialization
Citations

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

Fields of papers citing papers by Mark Chavez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994142
2 1995138
3 199697
4 199594
5 199286
6 199582
7 199666
8 199862
9 199858
10 199657
11 199552
12 199550
13 199748
14 199747
15 200742
16 199541
17 200634
18 199723
19 199622
20 199814

About Mark Chavez

Mark Chavez is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Physiology, Nutrition and Dietetics and Clinical Psychology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (15 papers), Neuropeptides and Animal Physiology (7 papers), Adipose Tissue and Metabolism (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Eating Disorders and Behaviors (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (883 citations), Nutrition and Dietetics (480 citations), Physiology (547 citations), Behavioral Neuroscience (68 citations) and Cellular and Molecular Neuroscience (290 citations). Mark Chavez has collaborated with scholars based in United States, Ecuador and Mexico. Frequent co-authors include Stephen C. Woods, Randy J. Seeley, Michael W. Schwartz, Chris Riedy, D.P. Figlewicz, Dianne P. Figlewicz, Steven Paul Woods, Karl J. Kaiyala, Lisa J. Madden and Patricia Szot. Their work appears in journals such as Behavioral Neuroscience, Physiology & Behavior, Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and International Journal of Eating Disorders.

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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