V. Y. Kalashnikov

1.2k total citations
23 papers, 186 citations indexed

About

V. Y. Kalashnikov is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, V. Y. Kalashnikov has authored 23 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Surgery. Recurrent topics in V. Y. Kalashnikov's work include Neurological Disorders and Treatments (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Long-Term Effects of COVID-19 (3 papers). V. Y. Kalashnikov is often cited by papers focused on Neurological Disorders and Treatments (5 papers), Pituitary Gland Disorders and Treatments (4 papers) and Long-Term Effects of COVID-19 (3 papers). V. Y. Kalashnikov collaborates with scholars based in Russia, Ukraine and United Kingdom. V. Y. Kalashnikov's co-authors include Fawziah Marra, Elaine Ah‐Gi Lo, Kathryn Richardson, И. И. Дедов, G. А. Melnichenko, М. В. Шестакова, Syrkin Al, Olga K. Vikulova, Alexander Yur'evich Mayorov and В. В. Фадеев and has published in prestigious journals such as SHILAP Revista de lepidopterología, PeerJ and Endocrine Practice.

In The Last Decade

V. Y. Kalashnikov

17 papers receiving 181 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Y. Kalashnikov Russia 6 66 60 33 33 30 23 186
Tomokazu Nunoue Japan 8 45 0.7× 25 0.4× 82 2.5× 25 0.8× 17 0.6× 16 276
Li-Chen Wei Taiwan 12 31 0.5× 15 0.3× 18 0.5× 8 0.2× 22 0.7× 19 322
Guohui Xue China 9 61 0.9× 11 0.2× 12 0.4× 27 0.8× 9 0.3× 27 294
David N. Adam Canada 9 48 0.7× 5 0.1× 100 3.0× 20 0.6× 33 1.1× 29 257
Suqin Guo United States 12 65 1.0× 13 0.2× 7 0.2× 42 1.3× 9 0.3× 22 439
Bennie L. Baker United States 6 96 1.5× 12 0.2× 99 3.0× 19 0.6× 50 1.7× 7 310
Miriam Sánchez Spain 10 59 0.9× 19 0.3× 111 3.4× 11 0.3× 26 0.9× 16 296
Jean‐Baptiste Julla France 8 16 0.2× 60 1.0× 4 0.1× 39 1.2× 4 0.1× 22 176
Kangli Qiu China 6 42 0.6× 118 2.0× 4 0.1× 123 3.7× 10 0.3× 13 295
Jarren R. Oates United States 6 85 1.3× 21 0.3× 3 0.1× 21 0.6× 44 1.5× 10 217

Countries citing papers authored by V. Y. Kalashnikov

Since Specialization
Citations

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

Fields of papers citing papers by V. Y. Kalashnikov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Y. Kalashnikov

This figure shows the co-authorship network connecting the top 25 collaborators of V. Y. Kalashnikov. A scholar is included among the top collaborators of V. Y. Kalashnikov 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 V. Y. Kalashnikov. V. Y. Kalashnikov 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
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Kalashnikov, V. Y., et al.. (2024). CEREBROVASCULAR DISORDERS IN PATIENTS WITH COVID-19 CONSEQUENCES PATHOGENETICALLY DETERMINED DIAGNOSIS AND METHODS OF CORRECTION. World of Medicine and Biology. 20(88). 146–146. 1 indexed citations
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Kalashnikov, V. Y., et al.. (2022). Adipokines and the cardiorespiratory system in young patients with type 1 diabetes mellitus. Terapevticheskii arkhiv. 94(10). 1143–1148. 1 indexed citations
6.
Дедов, И. И., Г А Франк, Marina V. Shestakova, et al.. (2021). Consensus position of endocrinologists and pathologists on coding causes of death in patients with diabetes mellitus (expert opinion). SHILAP Revista de lepidopterología. 24(3). 300–309. 2 indexed citations
7.
Kalashnikov, V. Y. & Marina Michurova. (2021). Atherosclerotic Cardiovascular Diseases and Type 2 Diabetes Mellitus – new Developments in the Treatment. Kardiologiia. 61(1). 78–86.
8.
Belaya, Zhanna, G. А. Melnichenko, V. Y. Kalashnikov, et al.. (2021). Clinical course and outcome of patients with ACTH-dependent Cushing’s syndrome infected with novel coronavirus disease-19 (COVID-19): case presentations. Endocrine. 72(1). 12–19. 17 indexed citations
9.
Gomova, Irina S., et al.. (2020). Heart arrhythmias and conduction disorders in patients with acromegaly: the role of cardiac magnetic resonance imaging. SHILAP Revista de lepidopterología. 92(10). 70–77. 2 indexed citations
10.
Kalashnikov, V. Y., Olga K. Vikulova, Anna V. Zheleznyakova, et al.. (2019). Epidemiology of cardiovascular diseases among patients with diabetes mellitus according to the federal diabetes register of the Russian Federation (2013–2016). Diabetes Mellitus. 22(2). 105–114. 6 indexed citations
11.
Kаrmаzаnovsky, G. G., et al.. (2019). PULMONARY VEIN ANATOMY VARIATIONS IN PATIENTS WITH ATRIAL FIBRILLATION: COMPUTED TOMOGRAPHY STUDY. Russian Electronic Journal of Radiology. 9(1). 57–66.
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Kalashnikov, V. Y., et al.. (2019). Sustained ventricular tachycardia in a patient with a single ventricle of the heart and a pheochromocytoma. Problems of Endocrinology. 65(2). 107–112. 2 indexed citations
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Michurova, Marina, et al.. (2019). The significance of circulating progenitor cells with osteogenic activity in the of atherosclerosis development in patients with type 2 diabetes mellitus. SHILAP Revista de lepidopterología. 16(1). 62–69. 1 indexed citations
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Michurova, Marina, Минара Шамхаловна Шамхалова, Olga K. Vikulova, et al.. (2017). Association of polymorphic markers of genes FTO , KCNJ11, CDKAL1, SLC30A8, and CDKN2B with type 2 diabetes mellitus in the Russian population. PeerJ. 5. e3414–e3414. 28 indexed citations
16.
Дедов, И. И., et al.. (2016). Assessing routine healthcare pattern for type 2 diabetes mellitus in Russia: the results of рharmacoepidemiological study (FORSIGHT-DM2). Diabetes Mellitus. 19(6). 443–456. 19 indexed citations
17.
Marra, Fawziah, Elaine Ah‐Gi Lo, V. Y. Kalashnikov, & Kathryn Richardson. (2016). Risk of Herpes Zoster in Individuals on Biologics, Disease-Modifying Antirheumatic Drugs, and/or Corticosteroids for Autoimmune Diseases: A Systematic Review and Meta-Analysis. Open Forum Infectious Diseases. 3(4). ofw205–ofw205. 79 indexed citations
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Kalashnikov, V. Y., et al.. (2015). Risk factors and glycation end products in patients with different forms of coronary heart disease and type 2 diabetes mellitus. Terapevticheskii arkhiv. 87(10). 19–19. 2 indexed citations
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Beshlieva, Diana D., et al.. (2015). Cardiovascular autonomic neuropathy in patients with type 2 diabetes mellitus and coronary artery disease: Diagnosis and severity assessment. Terapevticheskii arkhiv. 87(10). 11–11. 1 indexed citations
20.
Kalashnikov, V. Y., et al.. (2006). Levothyroxine Replacement Therapy in Patients With Subclinical Hypothyroidism and Coronary Artery Disease. Endocrine Practice. 12(1). 5–17. 19 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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