М. Е. Диатроптов

466 total citations
77 papers, 333 citations indexed

About

М. Е. Диатроптов is a scholar working on Physiology, Endocrine and Autonomic Systems and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, М. Е. Диатроптов has authored 77 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 17 papers in Endocrine and Autonomic Systems and 10 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in М. Е. Диатроптов's work include Spaceflight effects on biology (16 papers), Circadian rhythm and melatonin (16 papers) and Bat Biology and Ecology Studies (8 papers). М. Е. Диатроптов is often cited by papers focused on Spaceflight effects on biology (16 papers), Circadian rhythm and melatonin (16 papers) and Bat Biology and Ecology Studies (8 papers). М. Е. Диатроптов collaborates with scholars based in Russia, United Kingdom and United States. М. Е. Диатроптов's co-authors include О. В. Макарова, D. Sh. Dzhalilova, А. М. Косырева, Natalia Zolotova, С. Л. Кузнецов, D. N. Khochanskiy, А. В. Суров, А. С. Авдеева, T. A. Zenchenko and Anna V. Kudryavtseva and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

М. Е. Диатроптов

59 papers receiving 324 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
М. Е. Диатроптов Russia 10 113 64 55 55 52 77 333
Kenneth A. Wilson United States 11 105 0.9× 46 0.7× 54 1.0× 20 0.4× 140 2.7× 23 430
Jarrod Shilts United Kingdom 8 42 0.4× 37 0.6× 63 1.1× 20 0.4× 110 2.1× 9 356
Yongbum Koo South Korea 12 74 0.7× 164 2.6× 66 1.2× 24 0.4× 199 3.8× 17 545
Tyne W. Miller‐Fleming United States 11 39 0.3× 56 0.9× 22 0.4× 28 0.5× 179 3.4× 23 379
Marty Bigos United States 7 272 2.4× 45 0.7× 54 1.0× 43 0.8× 238 4.6× 9 645
Ricardo A. Verdugo Chile 15 61 0.5× 179 2.8× 78 1.4× 43 0.8× 219 4.2× 33 516
Frank J. Weaker United States 16 93 0.8× 91 1.4× 39 0.7× 40 0.7× 220 4.2× 43 669
Ingo Przesdzing Germany 8 45 0.4× 65 1.0× 117 2.1× 28 0.5× 121 2.3× 11 402
Hiroshi Shiozaki Japan 14 101 0.9× 75 1.2× 72 1.3× 18 0.3× 116 2.2× 46 681
Huizhi Zhou United States 6 42 0.4× 22 0.3× 102 1.9× 24 0.4× 136 2.6× 10 358

Countries citing papers authored by М. Е. Диатроптов

Since Specialization
Citations

This map shows the geographic impact of М. Е. Диатроптов'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 М. Е. Диатроптов with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites М. Е. Диатроптов more than expected).

Fields of papers citing papers by М. Е. Диатроптов

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by М. Е. Диатроптов. 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 М. Е. Диатроптов. The network helps show where М. Е. Диатроптов may publish in the future.

Co-authorship network of co-authors of М. Е. Диатроптов

This figure shows the co-authorship network connecting the top 25 collaborators of М. Е. Диатроптов. A scholar is included among the top collaborators of М. Е. Диатроптов 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 М. Е. Диатроптов. М. Е. Диатроптов is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Попкова, Т. В., et al.. (2025). Effect of interleukin 6 blockers on body composition, adipocytokines and insulin-like growth factor 1 in patients with rheumatoid arthritis. Rheumatology Science and Practice. 63(3). 298–304.
2.
Глухова, С. И., et al.. (2025). Use of the AMS questionnaire to hypogonadism screening in men with rheumatoid arthritis. Meditsinskiy sovet = Medical Council. 113–119.
3.
Efremova, Irina, Roman Maslennikov, Medvedev Os, et al.. (2024). Gut Microbiota and Biomarkers of Intestinal Barrier Damage in Cirrhosis. Microorganisms. 12(3). 463–463. 24 indexed citations
4.
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6.
Роживанов, Р. В., et al.. (2023). Clinical and laboratory features of rheumatoid arthritis in men depending on testosterone levels. Problems of Endocrinology. 70(3). 98–104. 2 indexed citations
7.
Диатроптов, М. Е., et al.. (2023). Analysis of Association of Ultradian Body Temperature Rhythms in Animals with Intensity of Fluctuations of Radioactive Decay of Natural 40K Isotope. Bulletin of Experimental Biology and Medicine. 175(1). 86–91. 2 indexed citations
8.
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Диатроптов, М. Е.. (2021). Changes in Body Temperature of Small Mammals and Birds in a Few Minutes Range as Reflection of Environmental Influences. Bulletin of Experimental Biology and Medicine. 171(3). 388–392. 2 indexed citations
10.
Диатроптов, М. Е., et al.. (2021). Possible external factors determining ultradian rhythms of body temperature with 4-20-minute periods. Bulletin of Experimental Biology and Medicine. 171(6). 777–782.
11.
Диатроптов, М. Е., et al.. (2021). Amplitude of One-Minute Fluctuations of Secondary Cosmic Rays as a Marker of Environmental Factor Determining Ultradian Rhythms in Body Temperature of Laboratory Rats. Bulletin of Experimental Biology and Medicine. 172(1). 105–110. 3 indexed citations
12.
Косырева, А. М., et al.. (2021). Infradian 4-Day Rhythm of Proliferative Activity of L-929 Mouse Fibroblast Culture in the Logarithmic Growth Phase Is Exogenous. Bulletin of Experimental Biology and Medicine. 172(2). 210–213. 3 indexed citations
13.
Dzhalilova, D. Sh., А. М. Косырева, М. Е. Диатроптов, et al.. (2019). Morphological Characteristics of the Thymus and Spleen and the Subpopulation Composition of Lymphocytes in Peripheral Blood during Systemic Inflammatory Response in Male Rats with Different Resistance to Hypoxia. International Journal of Inflammation. 2019. 1–17. 12 indexed citations
14.
Диатроптов, М. Е., et al.. (2019). Dependence of the severity of the systemic inflammatory response on resistance to hypoxia in male Wistar rats. SHILAP Revista de lepidopterología. 2 indexed citations
15.
Диатроптов, М. Е., et al.. (2019). The Phenomenon of Negative Body Temperature in Hibernating Hedgehogs of the Genus Erinaceus. Journal of Evolutionary Biochemistry and Physiology. 55(6). 515–516.
16.
Косырева, А. М., et al.. (2019). Age-Specific Features of Hypoxia Tolerance and Intensity of Lipopolysaccharide-Induced Systemic Inflammatory Response in Wistar Rats. Bulletin of Experimental Biology and Medicine. 166(5). 699–703. 8 indexed citations
17.
Белов, Б. С., et al.. (2018). Efficacy, safety and immunogenicity of a trivalent inactivated split influenza vaccine in patients with rheumatic diseases. Meditsinskiy sovet = Medical Council. 106–110. 6 indexed citations
18.
Диатроптов, М. Е., et al.. (2017). Infradian Biorhythm of Thyroid Hormone Concentrations in Mammals and Birds. Bulletin of Experimental Biology and Medicine. 162(6). 815–819. 3 indexed citations
19.
Диатроптов, М. Е., et al.. (2013). [Infradian rhythms of the thymic morphofunctional state in male Wistar rats].. PubMed. 99(6). 729–36. 3 indexed citations
20.
Диатроптов, М. Е.. (2011). Infradian Fluctuations in Serum Testosterone Levels in Male Laboratory Rats. Bulletin of Experimental Biology and Medicine. 151(5). 638–641. 9 indexed citations

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.

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