Daniel E. Francés

35 papers receiving 983 citations

Peers

Daniel E. Francés
Comparison fields: 5 of 89
  • Hepatology 93
  • Epidemiology 267
  • Pharmacology 70
  • Endocrinology, Diabetes and Metabolism 119
  • Biochemistry 55
Replace Gerardo Bruno Pisani with:
Gerardo Bruno Pisani Argentina
Peng Zhong China
Cristina Ester Carnovale Argentina
Marawan Abd Elbaset Egypt
Hailong Wu China
Marina Galicia‐Moreno Mexico
Yongjie Ma United States
Elena Piccinin Italy
Lei Dong China
Daniel E. Francés relative to Gerardo Bruno Pisani Argentina Gerardo Bruno Pisani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel E. Francés

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Francés

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201292
2 201071
3 201161
4 201360
5 201359
6 201752
7 201851
8 201649
9 201446
10 201036
11 201835
12 201533
13 201133
14 201829
15 201226
16 201624
17 201622
18 200921
19 201421
20 200720

About Daniel E. Francés

Daniel E. Francés is a scholar working on Hepatology, Epidemiology, Molecular Biology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Liver physiology and pathology (6 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Cell death mechanisms and regulation (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), FOXO transcription factor regulation (3 papers), NF-κB Signaling Pathways (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Hepatology (93 citations), Epidemiology (267 citations), Pharmacology (70 citations), Endocrinology, Diabetes and Metabolism (119 citations) and Biochemistry (55 citations). Daniel E. Francés has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Cristina Ester Carnovale, Marı́a Teresa Ronco, Gerardo Bruno Pisani, Paola I. Ingaramo, Marı́a Cristina Carrillo, Paloma Martín‐Sanz, Juan Alberto Monti, Raúl A. Marinelli, Ariel D. Quiroga and María de Luján Álvarez. Their work appears in journals such as Toxicology and Applied Pharmacology, Clinical Science, Molecular Immunology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Liver International.

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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