Javier Traba

1.8k citations
38 papers · 1.4k · h-index 21

Impact in

Papers in

    • Mitochondrial Function and Pathology 17
    • ATP Synthase and ATPases Research 6
    • Inflammasome and immune disorders 4
    • Immune Cell Function and Interaction 8
    • Immune cells in cancer 4
    • interferon and immune responses 3

Javier Traba

38 papers receiving 1.4k citations

Peers

Javier Traba
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 81
  • Clinical Biochemistry 149
  • Immunology 288
  • Biological Psychiatry 27
  • Physiology 250
Replace Shun Nagashima with:
Shun Nagashima Japan
Daniel Santos Portugal
Oliver C. Losón United States
Laurent Bultot Belgium
Vincent Paupe France
Pierre Vigié France
Timothy S. Luongo United States
Brian D. Fink United States
Clara Quiroga Chile
Montserrat Ruíz Spain
Javier Traba relative to Shun Nagashima Japan Shun Nagashima's profile →
Citations per field
00.5×2.7×
Shun Nagashima · 1×
Citations per year

Countries citing papers authored by Javier Traba

Since Specialization
Citations

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

Fields of papers citing papers by Javier Traba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018173
2 2015149
3 201798
4 201194
5 201674
6 201371
7 201458
8 200854
9 200851
10 201349
11 200547
12 201546
13 201843
14 201937
15 201133
16 201630
17 201629
18 202126
19 201824
20 202123

About Javier Traba

Javier Traba is a scholar working on Molecular Biology, Immunology, Physiology, Clinical Biochemistry and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (17 papers), Immune Cell Function and Interaction (8 papers), Metabolism and Genetic Disorders (7 papers), ATP Synthase and ATPases Research (6 papers), Adipose Tissue and Metabolism (5 papers), Immune cells in cancer (4 papers), Inflammasome and immune disorders (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Geriatrics and Gerontology (81 citations), Clinical Biochemistry (149 citations), Immunology (288 citations), Biological Psychiatry (27 citations) and Physiology (250 citations). Javier Traba has collaborated with scholars based in United States, Spain and Switzerland. Frequent co-authors include Jorgina Satrústegui, Michael N. Sack, Araceli del Arco, Carlos B. Rueda, Richard M. Siegel, Ignácio Amigo, Pietro Miozzo, Billur Akkaya, Munir Akkaya and Susan K. Pierce. Their work appears in journals such as The Journal of Immunology, Biochemical Journal, Journal of Visualized Experiments, Cellular and Molecular Life Sciences and Journal of Biological Chemistry.

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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