Marc Liesa

14.8k citations
83 papers · 9.4k indexed · 5 hit papers · h-index 44

Impact in

Papers in

Marc Liesa

82 papers receiving 9.3k citations

Hit Papers

Mitochondria Bound to Lipid Droplets Have Unique Bioenergetics, Composition, and Dynamics that Support Lipid Droplet Expansion 2018 · 429 citations
42920092026201420202505007501000

Peers

Marc Liesa
Comparison fields: 5 of 136
  • Clinical Biochemistry 1.1k
  • Physiology 2.8k
  • Aging 165
  • Molecular Biology 6.5k
  • Biochemistry 678
Replace Anne N. Murphy with:
Anne N. Murphy United States
Dongchon Kang Japan
Stephan Herzig Germany
Yisang Yoon United States
Fabio Di Lisa Italy
György Szabadkai Italy
Chunxin Wang United States
Uwe Schlattner France
Kira M. Holmström United States
Valeria Petronilli Italy
Marc Liesa relative to Anne N. Murphy United States Anne N. Murphy's profile →
Citations per field
00.5×1.5×
Anne N. Murphy · 1×
Citations per year

Countries citing papers authored by Marc Liesa

Since Specialization
Citations

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

Fields of papers citing papers by Marc Liesa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20236
4 202232
5 202215
6 202158
7 202120
8 202143
9 2020121
10 202041
11 202066
12 202060
13 2020138
14 202037
15 202014
16 201894
17 201241
18 201250
19
Pancreatic cancers require autophagy for tumor growth
Hit paper breakdown →
20111163
20
Effect of High Glucose on Expression of a Novel Mitochondrial Transport Protein ABC-me in Rat Retinal Endothelial Cells
20101

About Marc Liesa

Marc Liesa is a scholar working on Clinical Biochemistry, Biochemistry, Physiology, Molecular Biology and Cell Biology, having authored 83 papers that have together received 9.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (56 papers), Adipose Tissue and Metabolism (32 papers), ATP Synthase and ATPases Research (16 papers), Metabolism and Genetic Disorders (15 papers), Lipid metabolism and biosynthesis (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Clinical Biochemistry (1.1k citations), Physiology (2.8k citations), Aging (165 citations), Molecular Biology (6.5k citations) and Biochemistry (678 citations). Marc Liesa has collaborated with scholars based in United States, Spain and Israel. Frequent co-authors include António Zorzano, Orian Shirihai, Manuel Palacı́n, Orian S. Shirihai, Michaela Veliova, Ilan Y. Benador, Daniel Q. Bach, Ergün Sahin, Haoqiang Ying and Nabeel Bardeesy. Their work appears in journals such as The EMBO Journal, PLoS ONE, Molecular Metabolism, Nature Communications and Cell Metabolism.

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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2026