Н. К. Чемерис

436 total citations
47 papers, 361 citations indexed

About

Н. К. Чемерис is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Н. К. Чемерис has authored 47 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 14 papers in Cardiology and Cardiovascular Medicine and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Н. К. Чемерис's work include Heart Rate Variability and Autonomic Control (12 papers), Electromagnetic Fields and Biological Effects (10 papers) and Thermoregulation and physiological responses (10 papers). Н. К. Чемерис is often cited by papers focused on Heart Rate Variability and Autonomic Control (12 papers), Electromagnetic Fields and Biological Effects (10 papers) and Thermoregulation and physiological responses (10 papers). Н. К. Чемерис collaborates with scholars based in Russia, Belarus and Mozambique. Н. К. Чемерис's co-authors include A. B. Gapeyev, Arina V. Tankanag, V.N. Kazachenko, Е. Е. Фесенко, Alexei Gapeev, Е. Е. Фесенко, В. Г. Сафронова, В. Б. Садовников, Oleg Aslanidi and Э. Н. Гахова and has published in prestigious journals such as Brain Research, FEBS Letters and Bioelectromagnetics.

In The Last Decade

Н. К. Чемерис

43 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Н. К. Чемерис Russia 11 147 126 92 64 51 47 361
A. B. Gapeyev Russia 11 147 1.0× 59 0.5× 76 0.8× 62 1.0× 5 0.1× 40 347
D. W. Lecuyer Canada 11 357 2.4× 101 0.8× 59 0.6× 48 0.8× 10 0.2× 23 449
Yahya Akyel United States 8 228 1.6× 83 0.7× 120 1.3× 37 0.6× 2 0.0× 20 365
Vanessa Joubert France 9 200 1.4× 27 0.2× 166 1.8× 54 0.8× 3 0.1× 9 400
Jens Christian Brasen Denmark 14 18 0.1× 90 0.7× 35 0.4× 216 3.4× 52 1.0× 23 425
Jukka Luukkonen Finland 12 430 2.9× 143 1.1× 87 0.9× 69 1.1× 1 0.0× 22 539
F. Poulletier de Gannes France 16 426 2.9× 76 0.6× 205 2.2× 63 1.0× 1 0.0× 42 546
Göknur Güler Türkiye 14 346 2.4× 60 0.5× 99 1.1× 36 0.6× 2 0.0× 23 449
Xiaoliang Li China 10 44 0.3× 21 0.2× 39 0.4× 146 2.3× 26 0.5× 25 388
Adam Kapela United States 11 23 0.2× 124 1.0× 13 0.1× 156 2.4× 119 2.3× 20 322

Countries citing papers authored by Н. К. Чемерис

Since Specialization
Citations

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

Fields of papers citing papers by Н. К. Чемерис

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Н. К. Чемерис. 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 Н. К. Чемерис. The network helps show where Н. К. Чемерис may publish in the future.

Co-authorship network of co-authors of Н. К. Чемерис

This figure shows the co-authorship network connecting the top 25 collaborators of Н. К. Чемерис. A scholar is included among the top collaborators of Н. К. Чемерис 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 Н. К. Чемерис. Н. К. Чемерис 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.
Чемерис, Н. К., et al.. (2024). Frequency-Dependent Variability of Pulse Wave Transit Time: Pilot Study. Doklady Biochemistry and Biophysics. 516(1). 107–110.
2.
Tankanag, Arina V., et al.. (2016). Role of additive stochastic modulation of the heart activity in the formation of 0.1-Hz blood flow oscillations in the human cardiovascular system. Doklady Biological Sciences. 468(1). 106–111. 6 indexed citations
3.
Tankanag, Arina V., et al.. (2014). Involvement of the sympatho-vagal balance in the formation of respiration-dependent oscillations in the human cardiovascular system. Human Physiology. 40(1). 58–64. 4 indexed citations
4.
Tankanag, Arina V., et al.. (2014). [Physiological features of skin ageing in human].. PubMed. 44(3). 85–92. 2 indexed citations
5.
Gapeyev, A. B., et al.. (2011). Changes in the fatty acid composition of thymic and solid ehrlich carcinoma cells in mice under exposure to extremely high frequency electromagnetic radiation. Doklady Biochemistry and Biophysics. 439(1). 178–181. 1 indexed citations
6.
7.
Gapeyev, A. B., et al.. (2010). Effect of electromagnetic radiation of extremely high frequencies on the fatty-acid composition of mouse thymic cells in normal state and in systemic inflammation. Doklady Biochemistry and Biophysics. 435(1). 312–315. 1 indexed citations
8.
Tankanag, Arina V., et al.. (2010). Age-related differences in the dynamics of the skin blood flow oscillations during postocclusive reactive hyperemia. Human Physiology. 36(2). 222–228. 10 indexed citations
9.
Tankanag, Arina V., et al.. (2010). [Age features of the dynamics of the oscillation amplitudes of the peripheral skin blood flow during the postocclusive reactive hyperemia].. PubMed. 36(2). 114–20. 4 indexed citations
10.
11.
Gapeev, Alexei, et al.. (2007). Anti-inflammatory effects of high-peak-power pulsed microwaves as dependent on irradiation parameters. BIOPHYSICS. 52(5). 512–514. 1 indexed citations
12.
Чемерис, Н. К., et al.. (2007). High Power Microwave Pulses are not Genotoxic and Possess Anti-Inflammatory Effects. 33–35. 1 indexed citations
13.
Чемерис, Н. К., et al.. (2005). Lack of direct DNA damage in human blood leukocytes and lymphocytes after in vitro exposure to high power microwave pulses. Bioelectromagnetics. 27(3). 197–203. 19 indexed citations
14.
Gapeev, Alexei, et al.. (2004). Effects of Low-Intensity Ultrahigh Frequency Electromagnetic Radiation on Inflammatory Processes. Bulletin of Experimental Biology and Medicine. 137(4). 364–366. 16 indexed citations
15.
Gapeyev, A. B. & Н. К. Чемерис. (1999). Model analysis of nonlinear modification of neutrophil calcium homeostasis under the influence of modulated electromagnetic radiation of extremely high frequencies. Journal of Biological Physics. 25(2-3). 193–209. 6 indexed citations
16.
Kazachenko, V.N., et al.. (1999). Non-Markovian Gating of Ca2+-Activated K+ Channels in Cultured Kidney Cells Vero. Rescaled Range Analysis. Journal of Biological Physics. 25(2-3). 211–222. 21 indexed citations
17.
Gapeyev, A. B., et al.. (1998). Modification of production of reactive oxygen species in mouse peritoneal neutrophils on exposure to low-intensity modulated millimeter wave radiation. Bioelectrochemistry and Bioenergetics. 46(2). 267–272. 12 indexed citations
18.
Gapeyev, A. B., et al.. (1997). Modulated low-intensity extremely high-frequency electromagnetic radiation activates or inhibits the respiratory bursts of neutrophils as a function of the modulation frequency. 42(42). 1149–1158. 2 indexed citations
19.
Чемерис, Н. К., et al.. (1987). [The role of phosphoinositide metabolism in the inhibition of the calcium current by dopamine].. PubMed. 296(4). 1008–11.
20.
Гахова, Э. Н., et al.. (1979). Isolated neurons in nudibranchia mollusc: Kinetics of Ca and Na currents upon action potential generation. Comparative Biochemistry and Physiology Part A Physiology. 64(2). 313–316. 16 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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