Alexander A. Soukas
- Molecular Biology top 5%
- Physiology top 2%
- Aging top 0.2%
- Epidemiology top 5%
- Endocrine and Autonomic Systems top 0.5%
- Co-authors
- Jeffrey M. FriedmanPaul CohenNicholas D. SocciChristopher E. CarrGary RuvkunArmen YerevanianMakoto MiyazakiJames M. Ntambi
- Topics
- Genetics, Aging, and Longevity in Model Organisms (16 papers)Adipose Tissue and Metabolism (8 papers)Metabolism, Diabetes, and Cancer (8 papers)
- 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
- Molecular Biology 1.9k
- Physiology 1.2k
- Aging 863
- Epidemiology 794
- Endocrine and Autonomic Systems 774
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 of co-authors of Alexander A. Soukas
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander A. Soukas. A scholar is included among the top collaborators of Alexander A. Soukas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander A. Soukas. Alexander A. Soukas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Identity, structure, and function of the mitochondrial permeability transition pore: controversies, consensus, recent advances, and future directionsbreakdown → | 195 |
| 3 | 8 | |
| 4 | 19 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | Metformin: Mechanisms in Human Obesity and Weight Lossbreakdown → | 249 |
| 10 | 62 | |
| 11 | 148 | |
| 12 | 49 | |
| 13 | 26 | |
| 14 | 70 | |
| 15 | 60 | |
| 16 | 27 | |
| 17 | 137 | |
| 18 | C. elegans Major Fats Are Stored in Vesicles Distinct from Lysosome-Related Organellesbreakdown → | 368 |
| 19 | Rictor/TORC2 regulates fat metabolism, feeding, growth, and life span in Caenorhabditis elegansbreakdown → | 318 |
| 20 | 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) and Metabolism, Diabetes, and Cancer (8 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. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.