Sofía García
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Photosynthetic Processes and Mechanisms
- Muscle Physiology and Disorders
- RNA modifications and cancer
Papers in
-
- Mitochondrial Function and Pathology 16
- ATP Synthase and ATPases Research 6
- Muscle Physiology and Disorders 2
- Metabolism, Diabetes, and Cancer 2
-
- Metabolism and Genetic Disorders 4
- Co-authors
- Carlos T. Moraes (15 shared papers)Francisca Díaz (13 shared papers)Hirokazu Fukui (1 shared paper)Susana Peralta (6 shared papers)Siôn L. Williams (2 shared papers)Dayami Hernandez (2 shared papers)Christine K. Thomas (1 shared paper)Sandra R. Bacman (1 shared paper)
- Journals
- Human Molecular Genetics (5 papers)Mitochondrion (2 papers)Microbial Physiology (1 paper)Gene Therapy (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesItalyFinland
In The Last Decade
Sofía García
18 papers receiving 887 citations
Peers
Comparison fields: 5 of 71
- Clinical Biochemistry 248
- Molecular Biology 743
- Aging 14
- Physiology 142
- Geriatrics and Gerontology 17
Countries citing papers authored by Sofía García
This map shows the geographic impact of Sofía García'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 Sofía García with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofía García more than expected).
Fields of papers citing papers by Sofía García
This network shows the impact of papers produced by Sofía García. 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 Sofía García. The network helps show where Sofía García may publish in the future.
Co-authors
The 25 scholars most cited alongside Sofía García, 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 | 2006 | 198 | |
| 2 | 2005 | 130 | |
| 3 | 2010 | 91 | |
| 4 | 2018 | 79 | |
| 5 | 2012 | 72 | |
| 6 | 2018 | 64 | |
| 7 | 2021 | 53 | |
| 8 | 2007 | 39 | |
| 9 | 2012 | 37 | |
| 10 | 2013 | 36 | |
| 11 | 2016 | 22 | |
| 12 | 2018 | 20 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2021 | 6 | |
| 17 | 2012 | 2 | |
| 18 | 2006 | 1 |
About Sofía García
Sofía García is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Cell Biology and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 889 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (16 papers), ATP Synthase and ATPases Research (6 papers), Metabolism and Genetic Disorders (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Muscle Physiology and Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Hemoglobin structure and function (2 papers) and Biofuel production and bioconversion (1 paper). The work is most often cited by research in Clinical Biochemistry (248 citations), Molecular Biology (743 citations), Aging (14 citations), Physiology (142 citations) and Geriatrics and Gerontology (17 citations). Sofía García has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Carlos T. Moraes, Francisca Díaz, Hirokazu Fukui, Susana Peralta, Siôn L. Williams, Dayami Hernandez, Christine K. Thomas, Sandra R. Bacman, Nadee Nissanka and Kyle R. Padgett. Their work appears in journals such as Human Molecular Genetics, Mitochondrion, Microbial Physiology, Gene Therapy and Cell Reports.
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.