David Pacheco

2.4k citations
69 papers · 823 indexed · h-index 15

Impact in

  • Physiology top 10%
    • Diet and metabolism studies
    • Nutrition and Health in Aging
  • Pharmacy top 5%

Papers in

David Pacheco

61 papers receiving 803 citations

Peers

David Pacheco
Comparison fields: 5 of 71
  • Physiology 328
  • Pharmacy 55
  • Endocrinology, Diabetes and Metabolism 180
  • Surgery 421
  • Microbiology 7
Replace Takashi Oshiro with:
Takashi Oshiro Japan
Imed Ben Amor France
Markus von Flüe Switzerland
José Ignacio Rodríguez‐Hermosa Spain
Ahmed Salman Egypt
María Dolores Frutos Spain
Isao Kawamura Japan
Fernando Pimentel Chile
Marcel J. M. Groenen Netherlands
Kazunori Kasama Japan
David Pacheco relative to Takashi Oshiro Japan Takashi Oshiro's profile →
Citations per field
00.5×1.5×
Takashi Oshiro · 1×
Citations per year

Countries citing papers authored by David Pacheco

Since Specialization
Citations

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

Fields of papers citing papers by David Pacheco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20201
5 20182
6 20165
7 20157
8 20157
9 201420
10 20131
11 20130
12 20126
13 20123
14 20125
15 201051
16 201014
17 201053
18 200811
19 20062
20 20005

About David Pacheco

David Pacheco is a scholar working on Microbiology, Surgery, Physiology, Dermatology and Endocrine and Autonomic Systems, having authored 69 papers that have together received 823 indexed citations. Recurring topics across this work include Bariatric Surgery and Outcomes (21 papers), Diet and metabolism studies (13 papers), Liver Disease Diagnosis and Treatment (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes Treatment and Management (6 papers), Regulation of Appetite and Obesity (5 papers), Nutrition and Health in Aging (5 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Physiology (328 citations), Pharmacy (55 citations), Endocrinology, Diabetes and Metabolism (180 citations), Surgery (421 citations) and Microbiology (7 citations). David Pacheco has collaborated with scholars based in Spain, Portugal and United States. Frequent co-authors include Daniel Antonio de Luis, Olatz Izaola, R. Aller, M C Terroba, M. González Sagrado, R. Conde, Luis Cuéllar, Tomás Martín Hernández, David Primo and Gloria A Cabezas. Their work appears in journals such as Annals of Nutrition and Metabolism, Obesity Surgery, Surgery for Obesity and Related Diseases, The American Journal of Surgery and Journal of Gastrointestinal Surgery.

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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