Celia Bañuls

97 papers receiving 3.4k citations

Celia Bañuls's Hit Papers

Mitochondrial dynamics in type 2 diabetes: Pathophysiological implications 2017 · 507 citations
5070+3+6Years since publication100200300400500

Peers

Celia Bañuls
Comparison fields: 5 of 122
  • Reproductive Medicine 305
  • Clinical Biochemistry 209
  • Endocrinology, Diabetes and Metabolism 479
  • Biochemistry 153
  • Physiology 595
Replace Kevin N. Keane with:
Kevin N. Keane Australia
Susana Rovira‐Llopis Spain
Ubiratan Fabres Machado Brazil
Esmat Aghadavod Iran
Nurten Aksoy Türkiye
Katsutaro Morino Japan
Laura Herrero Spain
Yusuf Türköz Türkiye
Manuela Aragno Italy
Jihyun Song South Korea
Celia Bañuls relative to Kevin N. Keane Australia Kevin N. Keane's profile →
Citations per field
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Kevin N. Keane · 1×
Citations per year

Countries citing papers authored by Celia Bañuls

Since Specialization
Citations

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

Fields of papers citing papers by Celia Bañuls

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mitochondrial dynamics in type 2 diabetes: Pathophysiological implications
Hit paper breakdown →
2017507
2 2009192
3 2019129
4 2011112
5 201699
6 200998
7 201796
8 201690
9 201788
10 202086
11 201081
12 201777
13 201364
14 201859
15 201152
16 201749
17 201148
18 201844
19 201643
20 201541

About Celia Bañuls

Celia Bañuls is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Epidemiology, having authored 100 papers that have together received 3.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Diet and metabolism studies (11 papers), Ovarian function and disorders (9 papers), Cholesterol and Lipid Metabolism (7 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Autophagy in Disease and Therapy (6 papers) and Nutrition and Health in Aging (5 papers). The work is most often cited by research in Reproductive Medicine (305 citations), Clinical Biochemistry (209 citations), Endocrinology, Diabetes and Metabolism (479 citations), Biochemistry (153 citations) and Physiology (595 citations). Celia Bañuls has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include Milagros Rocha, Víctor M. Víctor, Antonio Hernández‐Mijares, Susana Rovira‐Llopis, Noelia Díaz‐Morales, Eva Solá, A Marañón, Ana Jover, Carlos Morillas and M. Labiós Gómez. Their work appears in journals such as Current Pharmaceutical Design, Antioxidants and Redox Signaling, Antioxidants, Free Radical Biology and Medicine and Redox Biology.

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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