Daniel Cabrera

69 papers receiving 3.8k citations

Daniel Cabrera's Hit Papers

Triggering and resolution of inflammation in NASH 2018 · 707 citations
7070+3+6Years since publication200400600

Peers

Daniel Cabrera
Comparison fields: 5 of 106
  • Hepatology 345
  • Epidemiology 1.2k
  • Rehabilitation 191
  • Cell Biology 503
  • Physiology 742
Replace Claudio Cabello‐Verrugio with:
Claudio Cabello‐Verrugio Chile
Yongzhong Wei United States
Kyu‐Sang Park South Korea
Pascal Peraldi France
Karim Gariani Switzerland
Yasushi Ishigaki Japan
Meilian Liu China
Ruby L.C. Hoo Hong Kong
Jachelle M. Ofrecio United States
Ke Ma United States
Daniel Cabrera relative to Claudio Cabello‐Verrugio Chile Claudio Cabello‐Verrugio's profile →
Citations per field
00.5×3.8×
Claudio Cabello‐Verrugio · 1×
Citations per year

Countries citing papers authored by Daniel Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Triggering and resolution of inflammation in NASH
Hit paper breakdown →
2018707
2
Innate Immunity and Inflammation in NAFLD/NASH
Hit paper breakdown →
2016403
3 2018177
4 2013132
5 2015122
6 2013119
7 2019110
8 201196
9 201195
10 201691
11 201779
12 201478
13 201177
14 200677
15 201967
16 201967
17 201366
18 201661
19 202059
20 201554

About Daniel Cabrera

Daniel Cabrera is a scholar working on Molecular Biology, Epidemiology, Physiology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 3.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (21 papers), Liver Disease Diagnosis and Treatment (19 papers), Nutrition and Health in Aging (10 papers), Muscle metabolism and nutrition (8 papers), Adipose Tissue and Metabolism (7 papers), Connective Tissue Growth Factor Research (7 papers), Diet, Metabolism, and Disease (6 papers) and Genetics and Physical Performance (5 papers). The work is most often cited by research in Hepatology (345 citations), Epidemiology (1.2k citations), Rehabilitation (191 citations), Cell Biology (503 citations) and Physiology (742 citations). Daniel Cabrera has collaborated with scholars based in Chile, United States and Netherlands. Frequent co-authors include Marco Arrese, Ariel E. Feldstein, Claudio Cabello‐Verrugio, Susanne Schuster, Enrique Brandan, Felipe Simón, María Gabriela Morales, Alexis M. Kalergis, Johanna Ábrigo and Juan Pablo Arab. Their work appears in journals such as Current Protein and Peptide Science, Skeletal Muscle, Oxidative Medicine and Cellular Longevity, Human Molecular Genetics and International Journal of Molecular Sciences.

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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