Т. Е. Суслова

815 total citations · 1 hit paper
87 papers, 491 citations indexed

About

Т. Е. Суслова is a scholar working on Cardiology and Cardiovascular Medicine, Immunology and Epidemiology. According to data from OpenAlex, Т. Е. Суслова has authored 87 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Cardiology and Cardiovascular Medicine, 30 papers in Immunology and 22 papers in Epidemiology. Recurrent topics in Т. Е. Суслова's work include Adipokines, Inflammation, and Metabolic Diseases (17 papers), Atherosclerosis and Cardiovascular Diseases (17 papers) and Cardiovascular Disease and Adiposity (14 papers). Т. Е. Суслова is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (17 papers), Atherosclerosis and Cardiovascular Diseases (17 papers) and Cardiovascular Disease and Adiposity (14 papers). Т. Е. Суслова collaborates with scholars based in Russia, United States and Germany. Т. Е. Суслова's co-authors include И. В. Кологривова, V. V. Ryabov, Р. С. Карпов, О. A. Koshelskaya, Yana Anfinogenova, В. А. Марков, С. В. Попов, А. Л. Крылов, N. V. Naryzhnaya and Olga Kharitonova and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Т. Е. Суслова

68 papers receiving 480 citations

Hit Papers

Cells of the Immune System in Cardiac Remodeling: Main Pl... 2021 2026 2022 2024 2021 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cells of the Immune System in Cardiac Remodeling: Main Players in Resolution of Inflammation and Repair After Myocardial Infarction
    2021 199 citations И. В. Кологривова, Т. Е. Суслова et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Т. Е. Суслова Russia 9 261 141 121 107 72 87 491
Ilonka Rohm Germany 15 283 1.1× 135 1.0× 192 1.6× 79 0.7× 95 1.3× 31 654
Toyoharu Oba Japan 9 217 0.8× 135 1.0× 82 0.7× 73 0.7× 120 1.7× 15 474
И. В. Кологривова Russia 8 203 0.8× 112 0.8× 92 0.8× 68 0.6× 70 1.0× 42 378
Shiping Cao China 15 197 0.8× 224 1.6× 63 0.5× 109 1.0× 89 1.2× 28 593
Thor Ueland Norway 4 301 1.2× 138 1.0× 75 0.6× 64 0.6× 42 0.6× 10 446
Arnold Piek Netherlands 8 250 1.0× 158 1.1× 72 0.6× 65 0.6× 44 0.6× 9 489
Takanori Hayasaki Japan 12 245 0.9× 200 1.4× 142 1.2× 128 1.2× 45 0.6× 23 650
Yoshiki Akakabe Japan 10 144 0.6× 155 1.1× 56 0.5× 77 0.7× 44 0.6× 18 429
Alexandros X. Kortsaris Greece 10 140 0.5× 98 0.7× 101 0.8× 82 0.8× 116 1.6× 14 388

Countries citing papers authored by Т. Е. Суслова

Since Specialization
Citations

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

Fields of papers citing papers by Т. Е. Суслова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Т. Е. Суслова

This figure shows the co-authorship network connecting the top 25 collaborators of Т. Е. Суслова. A scholar is included among the top collaborators of Т. Е. Суслова 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 Т. Е. Суслова. Т. Е. Суслова 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.
Суслова, Т. Е., et al.. (2025). Sex-specific differences in the efficacy of renal denervation in patients with resistant hypertension depending on visceral obesity and kidney function. Frontiers in Cardiovascular Medicine. 12. 1501296–1501296. 1 indexed citations
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Суслова, Т. Е., et al.. (2024). Quantitative computed tomography coronary angiography in patients with acute myocardial infarction: association with cardiac biomarkers. SHILAP Revista de lepidopterología. 29(12). 6101–6101.
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Суслова, Т. Е., et al.. (2024). Biobanks in cardiovascular disease research. CARDIOVASCULAR THERAPY AND PREVENTION. 23(11). 4170–4170.
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Кологривова, И. В., et al.. (2023). Serum levels of GM-CSF, CCL11, CCL22 and TRAIL in patients with primary ST-segment elevation myocardial infarction and post-infarction heart remodeling. Siberian Journal of Clinical and Experimental Medicine. 38(2). 104–113. 1 indexed citations
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Кологривова, И. В., et al.. (2023). T regulatory lymphocytes and FoxP3 nuclear translocation in various adipose tissue depots in patients with coronary artery disease. SHILAP Revista de lepidopterología. 25(4). 955–962.
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Кологривова, И. В., et al.. (2023). T-lymphocytes FoxP3+ and their interconnection with the severity of coronary atherosclerosis in patients with coronary artery disease and diabetes mellitus type 2: a pilot study. SHILAP Revista de lepidopterología. 26(3). 213–223. 1 indexed citations
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Koshelskaya, О. A., et al.. (2023). Correlation of epicardial adipocytes hypertrophy with adipokines, inflammation and glucose and lipid metabolism. Siberian Journal of Clinical and Experimental Medicine. 38(1). 64–74. 2 indexed citations
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Koshelskaya, О. A., et al.. (2021). The level of reactive oxygen species production by adipocytes of epicardial adipose tissue is associated with an increase in postprandial glycemia in patients with severe coronary atherosclerosis. Siberian Journal of Clinical and Experimental Medicine. 36(3). 59–67. 2 indexed citations
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Суслова, Т. Е., et al.. (2020). Markers of endothelial dysfunction in patients with arterial hypertension exposed to occupational irradiation of  low intensity. Kardiologiia. 60(10). 73–79. 3 indexed citations
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Суслова, Т. Е., et al.. (2020). Renal denervation may attenuate the severity of MRI-signs of vascular wall damage in diabetic patients with resistant hypertension due to the anti-inflammatory effect. Arterial’naya Gipertenziya (Arterial Hypertension). 26(5). 552–563. 2 indexed citations
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Кологривова, И. В., et al.. (2018). INTERPLAY OF INFLAMMATION AND METABOLIC FACTORS IN COMORBID OBESITY AND ARTERIAL HYPERTENSION OF HIGH AND VERY HIGH RISK. Russian Journal of Cardiology. 27–33. 3 indexed citations
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Кологривова, И. В., О. A. Koshelskaya, Т. Е. Суслова, & Р. С. Карпов. (2014). GLYCEMIA CONTROL, INSULIN RESISTANCE, AND FUNCTIONAL ACTIVITY OF T-HELPER SUBPOPULATIONS IN PATIENTS WITH TYPE 2 DIABETES MELLITUS. Russian Journal of Cardiology. 95–101. 1 indexed citations
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Суслова, Т. Е., et al.. (2011). Molecular aspects of the T-helpers type 17 functioning. SHILAP Revista de lepidopterología. 10(4). 93–98. 1 indexed citations
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Суслова, Т. Е., et al.. (2008). [The role of cytokines in improvement of coronary restenosis risk stratification after endovascular stenting in patients with ischemic heart disease].. PubMed. 80(9). 45–52. 1 indexed citations
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Суслова, Т. Е., et al.. (2002). The factors of risk of the development of endothelium dysfunction that people with hereditary atherosclerosis and coronary atherosclerosis have. Bulletin of Siberian Medicine. 1(1). 45–52. 1 indexed citations
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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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