Antonio Dávila

2.1k citations
22 papers · 1.4k · h-index 16

Impact in

Papers in

Antonio Dávila

21 papers receiving 1.3k citations

Peers

Antonio Dávila
Comparison fields: 5 of 111
  • Geriatrics and Gerontology 300
  • Physiology 158
  • Aging 42
  • Biological Psychiatry 47
  • Clinical Biochemistry 126
Replace Shigeru Tanaka with:
Shigeru Tanaka Japan
Peter S. Vosler United States
Leonardo Cavone Italy
Aaron M. Gusdon United States
Philippe Cettour-Rose Switzerland
Yi‐Chuan Cheng Taiwan
Xiaobo Zhou China
Clara Prats Denmark
Flemming Wibrand Denmark
Jeffrey J. Brault United States
Antonio Dávila relative to Shigeru Tanaka Japan Shigeru Tanaka's profile →
Citations per field
00.5×11.1×
Shigeru Tanaka · 1×
Citations per year

Countries citing papers authored by Antonio Dávila

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Dávila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016277
2 2014235
3 2018110
4 199993
5 200690
6 201580
7 200972
8 201471
9 201851
10 201250
11 200850
12 201848
13 202029
14 201327
15 201022
16 201215
17 202010
18 20228
19 20067
20 20227

About Antonio Dávila

Antonio Dávila is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine, Geriatrics and Gerontology, Clinical Biochemistry and Physiology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Metabolism and Genetic Disorders (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Sirtuins and Resveratrol in Medicine (3 papers), Muscle Physiology and Disorders (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Geriatrics and Gerontology (300 citations), Physiology (158 citations), Aging (42 citations), Biological Psychiatry (47 citations) and Clinical Biochemistry (126 citations). Antonio Dávila has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Joseph A. Baur, Douglas C. Wallace, Vincent Procaccio, Eiko Nakamaru‐Ogiso, Karthikeyani Chellappa, James G. Davis, David W. Frederick, Joshua D. Rabinowitz, Philip Redpath and Marie E. Migaud. Their work appears in journals such as eLife, Journal of Biological Chemistry, Lab on a Chip, iScience and Kidney International Reports.

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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