Е. V. Kryukov

1.8k total citations
144 papers, 395 citations indexed

About

Е. V. Kryukov is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Е. V. Kryukov has authored 144 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 29 papers in Pulmonary and Respiratory Medicine and 23 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Е. V. Kryukov's work include Healthcare Systems and Public Health (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (23 papers) and Human Health and Disease (21 papers). Е. V. Kryukov is often cited by papers focused on Healthcare Systems and Public Health (27 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (23 papers) and Human Health and Disease (21 papers). Е. V. Kryukov collaborates with scholars based in Russia, United Kingdom and Pakistan. Е. V. Kryukov's co-authors include В. В. Салухов, А. В. Гордиенко, Alexander Vladimirovich Ivanov, А. М. Дыгай, А. А. Кубатиев, V. P. Romanov, Д. В. Блинов, М. В. Самсонова, А. Е. Каратеев and А.В. Сотников and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oxidative Medicine and Cellular Longevity and Disease Markers.

In The Last Decade

Е. V. Kryukov

98 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Е. V. Kryukov Russia	9	109	101	91	70	67	144	395
Masoud Nouri‐Vaskeh Iran	13	81 0.7×	125 1.2×	75 0.8×	105 1.5×	68 1.0×	47	633
Rajat Kapoor India	11	39 0.4×	197 2.0×	74 0.8×	85 1.2×	63 0.9×	46	410
Allison Butler United States	12	74 0.7×	68 0.7×	116 1.3×	34 0.5×	98 1.5×	33	470
Rainel Sánchez-de la Rosa Spain	12	22 0.2×	111 1.1×	84 0.9×	51 0.7×	33 0.5×	37	441
David Hui United States	9	78 0.7×	162 1.6×	28 0.3×	73 1.0×	38 0.6×	10	454
Simone van der Sar–van der Brugge Netherlands	9	37 0.3×	123 1.2×	130 1.4×	138 2.0×	21 0.3×	16	488
Patrick Richards United States	8	64 0.6×	41 0.4×	40 0.4×	54 0.8×	18 0.3×	10	444
Franck Martinez France	9	123 1.1×	25 0.2×	82 0.9×	36 0.5×	53 0.8×	11	394
José Antonio Hersan Nadal Brazil	8	57 0.5×	171 1.7×	84 0.9×	47 0.7×	16 0.2×	10	457
Ramona Dolscheid‐Pommerich Germany	13	46 0.4×	111 1.1×	82 0.9×	35 0.5×	16 0.2×	40	397

Countries citing papers authored by Е. V. Kryukov

Since Specialization

Citations

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

Fields of papers citing papers by Е. V. Kryukov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Е. V. Kryukov

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

All Works

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20 of 20 papers shown

Гриневич, В. Б., et al.. (2025). Predicting leading indicators of patient status using medical digital twins. Vrach. 30–34. 3 indexed citations

Kryukov, Е. V., et al.. (2024). Leader of pathophysiology: on the 70th birthday of professor Vasily N. Tsygan. Bulletin of the Russian Military Medical Academy. 26(2). 323–330.

Kryukov, Е. V., et al.. (2024). Vitamin D Sufficiency and Its Relationship with Indicators of Physical Development and the State of Bone Tissue in Cadets of a Military Higher Educational Institution. Annals of the Russian academy of medical sciences. 79(3). 271–280.

Kryukov, Е. V., et al.. (2024). The use of biofeedback training in complex therapy of neurotic disorders and correction of negative psychological consequences of combat stress in combatants. Bulletin of the Russian Military Medical Academy. 26(2). 185–196. 1 indexed citations

Kryukov, Е. V., et al.. (2024). A decision rule for identifying patients at high risk for impaired lung diffusion capacity after COVID-19. SHILAP Revista de lepidopterología. 23(3). 91–98.

Kryukov, Е. V., et al.. (2023). The inspiratory activity of respiratory center and respiratory muscles strength after COVID-19. PULMONOLOGIYA. 33(1). 27–35. 1 indexed citations

Kryukov, Е. V., et al.. (2023). Clinical efficacy and safety of using immune plasma from donors vaccinated against COVID-19 to treat patients with infection caused by SARS-CoV-2. 344(3). 39–46. 1 indexed citations

Kryukov, Е. V., et al.. (2023). Post-Traumatic Stress Disorder: Evolution of Views. Psikhiatriya. 21(4). 57–71. 2 indexed citations

Kryukov, Е. V., et al.. (2023). Features of assessing the intestinal barrier permeability in chronic kidney disease. Experimental and Clinical Gastroenterology. 46–59. 1 indexed citations

10.

Салухов, В. В., et al.. (2023). Comparative evaluation of preventive anticoagulant therapy regimens in the wounded. Meditsinskiy sovet = Medical Council. 305–311. 3 indexed citations

11.

Kryukov, Е. V., et al.. (2022). Functional disorders of the respiratory system after a new coronavirus infection COVID-19. 41(3). 315–323.

12.

Kryukov, Е. V., et al.. (2022). Functional disorders of the respiratory system in patients with penetrating lung wounds: study prospective design. SHILAP Revista de lepidopterología. 24(3). 199–204. 2 indexed citations

13.

Tomilina, Natalia, et al.. (2021). Frequency of SARS-CoV-2 infection in hemodialysis patients. 3(38). 23–32. 1 indexed citations

14.

Kryukov, Е. V., et al.. (2021). Risk factors and circulatory system pathologies in military personnel in the Arctic region. Bulletin of the Russian Military Medical Academy. 23(4). 85–92.

15.

Салухов, В. В., et al.. (2021). The role and place of glucocorticosteroids in treatment of COVID-19 pneumonia without hypoxemia. SHILAP Revista de lepidopterología. 162–172. 7 indexed citations

16.

Kryukov, Е. V., et al.. (2021). Plasma S-Adenosylmethionine Is Associated with Lung Injury in COVID-19. Disease Markers. 2021. 1–10. 16 indexed citations

17.

Nikonov, E.L., et al.. (2020). Changes in the intestinal microbiota as a risk factor for dyslipidemia, atherosclerosis and the role of probiotics in their prevention. SHILAP Revista de lepidopterología. 92(9). 94–101. 8 indexed citations

18.

Kryukov, Е. V., et al.. (2020). Pulmonary function after COVID-19 in early convalescence phase. Medical alphabet. 7–12. 18 indexed citations

19.

Nikonov, E.L., et al.. (2019). Evolution of dyslipidemia: from etiological mechanisms to new targets of personalized preventive nutraceutical therapy with red yeast rice. CARDIOVASCULAR THERAPY AND PREVENTION. 18(6). 88–98. 2 indexed citations

20.

Гордиенко, А. В., et al.. (2017). Erythroferron: Modern Concepts of Its Role in Iron Metabolism Regulation. Clinical oncohematology. 10(1). 25–28. 1 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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