Alexander A. Soukas
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms 16
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin 7
- Regulation of Appetite and Obesity 7
- Biochemistry top 1%
- Physiology top 2%
- Adipose Tissue and Metabolism 8
- Nutrition and Dietetics top 2%
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- Metabolism, Diabetes, and Cancer 8
- Mitochondrial Function and Pathology 7
- Nuclear Structure and Function 3
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- Pancreatic function and diabetes 6
- Co-authors
- Jeffrey M. FriedmanPaul CohenNicholas D. SocciChristopher E. CarrGary RuvkunArmen YerevanianMakoto MiyazakiJames M. Ntambi
- Partner nations
- United StatesChinaPoland
In The Last Decade
Alexander A. Soukas
37 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Aging 863
- Endocrine and Autonomic Systems 774
- Biochemistry 425
- Physiology 1.2k
- Nutrition and Dietetics 438
Countries citing papers authored by Alexander A. Soukas
This map shows the geographic impact of Alexander A. Soukas'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 Alexander A. Soukas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander A. Soukas more than expected).
Fields of papers citing papers by Alexander A. Soukas
This network shows the impact of papers produced by Alexander A. Soukas. 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 Alexander A. Soukas. The network helps show where Alexander A. Soukas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alexander A. Soukas, 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 | 1 | |
| 2 | Identity, structure, and function of the mitochondrial permeability transition pore: controversies, consensus, recent advances, and future directionsbreakdown → | 2023 | 195 |
| 3 | 2023 | 8 | |
| 4 | 2023 | 19 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 8 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 3 | |
| 9 | Metformin: Mechanisms in Human Obesity and Weight Lossbreakdown → | 2019 | 249 |
| 10 | 2019 | 62 | |
| 11 | 2019 | 148 | |
| 12 | 2019 | 49 | |
| 13 | 2017 | 26 | |
| 14 | 2015 | 70 | |
| 15 | 2013 | 60 | |
| 16 | 2013 | 27 | |
| 17 | 2012 | 137 | |
| 18 | C. elegans Major Fats Are Stored in Vesicles Distinct from Lysosome-Related Organellesbreakdown → | 2009 | 368 |
| 19 | Rictor/TORC2 regulates fat metabolism, feeding, growth, and life span in Caenorhabditis elegansbreakdown → | 2009 | 318 |
| 20 | 2004 | 150 |
About Alexander A. Soukas
Alexander A. Soukas is a scholar working on Aging, Endocrine and Autonomic Systems and Biochemistry, having authored 37 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Adipose Tissue and Metabolism (8 papers), Metabolism, Diabetes, and Cancer (8 papers), Mitochondrial Function and Pathology (7 papers), Circadian rhythm and melatonin (7 papers), Regulation of Appetite and Obesity (7 papers), Pancreatic function and diabetes (6 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Aging (863 citations), Endocrine and Autonomic Systems (774 citations) and Biochemistry (425 citations). Alexander A. Soukas has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jeffrey M. Friedman, Paul Cohen, Nicholas D. Socci, Christopher E. Carr, Gary Ruvkun, Armen Yerevanian, Makoto Miyazaki, James M. Ntambi, Lianfeng Wu and Eyleen J. O’Rourke.
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.