Michail Spanos
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cardiovascular Function and Risk Factors
Papers in
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- Extracellular vesicles in disease 8
- Circular RNAs in diseases 5
- Mitochondrial Function and Pathology 3
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- Cardiovascular Disease and Adiposity 3
- Co-authors
- Guoping Li (17 shared papers)Junjie Xiao (14 shared papers)Yihua Bei (2 shared papers)Huihua Chen (1 shared paper)Saumya Das (7 shared papers)Rong Lü (1 shared paper)Chen Chen (1 shared paper)Priyanka Gokulnath (7 shared papers)
- Journals
- Research (2 papers)Circulation (2 papers)Journal of sport and health science (2 papers)Frontiers in Medicine (1 paper)Pharmacology (1 paper)
- Partner nations
- United StatesChinaRomania
In The Last Decade
Michail Spanos
26 papers receiving 392 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 119
- Cardiology and Cardiovascular Medicine 85
- Molecular Biology 234
- Internal Medicine 12
- Complementary and alternative medicine 21
Countries citing papers authored by Michail Spanos
This map shows the geographic impact of Michail Spanos'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 Michail Spanos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michail Spanos more than expected).
Fields of papers citing papers by Michail Spanos
This network shows the impact of papers produced by Michail Spanos. 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 Michail Spanos. The network helps show where Michail Spanos may publish in the future.
Co-authors
The 25 scholars most cited alongside Michail Spanos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 87 | |
| 2 | 2023 | 52 | |
| 3 | 2022 | 34 | |
| 4 | 2023 | 33 | |
| 5 | 2023 | 30 | |
| 6 | 2024 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 13 | |
| 11 | 2023 | 10 | |
| 12 | 2025 | 9 | |
| 13 | 2025 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2023 | 3 |
About Michail Spanos
Michail Spanos is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Physiology and Surgery, having authored 31 papers that have together received 396 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (8 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Adipose Tissue and Metabolism (4 papers), Cardiovascular Disease and Adiposity (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (119 citations), Cardiology and Cardiovascular Medicine (85 citations), Molecular Biology (234 citations), Internal Medicine (12 citations) and Complementary and alternative medicine (21 citations). Michail Spanos has collaborated with scholars based in United States, China and Romania. Frequent co-authors include Guoping Li, Junjie Xiao, Yihua Bei, Huihua Chen, Saumya Das, Rong Lü, Chen Chen, Priyanka Gokulnath, Dimitrios Varrias and Kendall Van Keuren‐Jensen. Their work appears in journals such as Research, Circulation, Journal of sport and health science, Frontiers in Medicine and Pharmacology.
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.