Daniel Cabrera

68 papers receiving 3.9k citations

Daniel Cabrera's Hit Papers

Triggering and resolution of inflammation in NASH 2018 · 764 citations
7640+3+6Years since publication250500750

Peers

Daniel Cabrera
Comparison fields: 5 of 98
  • Epidemiology 1.2k
  • Hepatology 267
  • Molecular Biology 1.6k
  • Physiology 439
  • Rehabilitation 74
Replace Qiaobing Huang with:
Qiaobing Huang China
Zheng Chen China
Megan R. McMullen United States
Yuehua Li China
Kook Hwan Kim South Korea
Hyun Jin Kim South Korea
Bruno Derudas France
Stefano Menini Italy
Isao Usui Japan
Yongzhong Wei United States
Daniel Cabrera relative to Qiaobing Huang China Qiaobing Huang's profile →
Citations per field
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Qiaobing Huang · 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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Triggering and resolution of inflammation in NASH
Hit paper breakdown →
2018764
2
Innate Immunity and Inflammation in NAFLD/NASH
Hit paper breakdown →
2016413
3 2018189
4 2013139
5 2015134
6 2013125
7 2019115
8 2011101
9 201198
10 201695
11 200686
12 201781
13 201180
14 201973
15 201973
16 201369
17 202069
18 201663
19 201557
20 202156

About Daniel Cabrera

Daniel Cabrera is a scholar working on Epidemiology, Molecular Biology, Hepatology, Physiology and Cell Biology, having authored 70 papers that have together received 3.9k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (31 papers), Liver Disease Diagnosis and Treatment (21 papers), Nutrition and Health in Aging (5 papers), Liver physiology and pathology (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Epidemiology (1.2k citations), Hepatology (267 citations), Molecular Biology (1.6k citations), Physiology (439 citations) and Rehabilitation (74 citations). Daniel Cabrera has collaborated with scholars based in Chile, United States and Netherlands. Frequent co-authors include Marco A. Arrese, Ariel E. Feldstein, Claudio Cabello‐Verrugio, Susanne Schuster, Enrique Brandan, Felipe Simón, María Gabriela Morales, Johanna Ábrigo, Alexis M. Kalergis and Juan Pablo Arab. Their work appears in journals such as Current Protein and Peptide Science, Oxidative Medicine and Cellular Longevity, Journal of Cellular and Molecular Medicine, Journal of Hepatology 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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