Marc Liesa
Impact in
- Clinical Biochemistry top 0.2%
- Metabolism and Genetic Disorders
- Physiology top 0.5%
- Adipose Tissue and Metabolism
Papers in
-
- Metabolism and Genetic Disorders 15
- Biochemistry 11
- Lipid metabolism and biosynthesis 9
- Co-authors
- António ZorzanoOrian ShirihaiManuel Palacı́nOrian S. ShirihaiMichaela VeliovaIlan Y. BenadorDaniel Q. BachErgün Sahin
- Journals
- The EMBO Journal (6 papers)PLoS ONE (6 papers)Molecular Metabolism (5 papers)Nature Communications (4 papers)Cell Metabolism (3 papers)
- Partner nations
- United StatesSpainIsrael
In The Last Decade
Marc Liesa
82 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Clinical Biochemistry 1.1k
- Physiology 2.8k
- Aging 165
- Molecular Biology 6.5k
- Biochemistry 678
Countries citing papers authored by Marc Liesa
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 58 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 43 | |
| 9 | 2020 | 121 | |
| 10 | 2020 | 41 | |
| 11 | 2020 | 66 | |
| 12 | 2020 | 60 | |
| 13 | 2020 | 138 | |
| 14 | 2020 | 37 | |
| 15 | 2020 | 14 | |
| 16 | 2018 | 94 | |
| 17 | 2012 | 41 | |
| 18 | 2012 | 50 | |
| 19 | Pancreatic cancers require autophagy for tumor growth Hit paper breakdown → | 2011 | 1163 |
| 20 | Effect of High Glucose on Expression of a Novel Mitochondrial Transport Protein ABC-me in Rat Retinal Endothelial Cells | 2010 | 1 |
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.