Anton Razuvaev

1.1k total citations
26 papers, 483 citations indexed

About

Anton Razuvaev is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Anton Razuvaev has authored 26 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Anton Razuvaev's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Coronary Interventions and Diagnostics (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Anton Razuvaev is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Coronary Interventions and Diagnostics (6 papers) and Protease and Inhibitor Mechanisms (6 papers). Anton Razuvaev collaborates with scholars based in Sweden, United States and Denmark. Anton Razuvaev's co-authors include Ulf Hedin, Joy Roy, Lasse Folkersen, Gabrielle Paulsson‐Berne, Mariette Lengquist, Kenneth Caidahl, Jacob Odeberg, Ljubica Perisic, Anders Gabrielsen and Göran K. Hansson and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Anton Razuvaev

23 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anton Razuvaev Sweden 12 198 133 116 105 91 26 483
Yan Meng China 12 210 1.1× 101 0.8× 90 0.8× 130 1.2× 63 0.7× 27 521
Sanna Hellberg Finland 11 170 0.9× 70 0.5× 58 0.5× 123 1.2× 130 1.4× 19 461
Servé Olieslagers Netherlands 11 210 1.1× 137 1.0× 75 0.6× 34 0.3× 96 1.1× 15 519
Nicole Malet France 13 275 1.4× 105 0.8× 71 0.6× 34 0.3× 49 0.5× 17 507
Heike Meýborg Germany 16 233 1.2× 134 1.0× 128 1.1× 29 0.3× 99 1.1× 31 574
Wenmei Zhang China 15 254 1.3× 145 1.1× 103 0.9× 191 1.8× 86 0.9× 35 615
Sherryline Jogie‐Brahim United States 8 213 1.1× 121 0.9× 96 0.8× 56 0.5× 56 0.6× 10 563
Jenni Virta Finland 12 127 0.6× 58 0.4× 42 0.4× 68 0.6× 71 0.8× 31 390
Hendrika A. B. Peters Netherlands 13 246 1.2× 151 1.1× 119 1.0× 44 0.4× 56 0.6× 27 502
Chin Cheng Woo Singapore 8 189 1.0× 101 0.8× 103 0.9× 113 1.1× 68 0.7× 12 465

Countries citing papers authored by Anton Razuvaev

Since Specialization
Citations

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

Fields of papers citing papers by Anton Razuvaev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton Razuvaev. 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 Anton Razuvaev. The network helps show where Anton Razuvaev may publish in the future.

Co-authorship network of co-authors of Anton Razuvaev

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Razuvaev. A scholar is included among the top collaborators of Anton Razuvaev 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 Anton Razuvaev. Anton Razuvaev 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.
Narayanan, Sampath, Otto Bergman, Robert Wirka, et al.. (2024). Atheroma transcriptomics identifies ARNTL as a smooth muscle cell regulator and with clinical and genetic data improves risk stratification. European Heart Journal. 46(3). 308–322. 7 indexed citations
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Wirka, Robert, April S. Caravaca, Vladimir S. Shavva, et al.. (2021). AMPA-Type Glutamate Receptors Associated With Vascular Smooth Muscle Cell Subpopulations in Atherosclerosis and Vascular Injury. Frontiers in Cardiovascular Medicine. 8. 655869–655869. 12 indexed citations
5.
Suur, Bianca E, Jesper R. Gådin, Anastasiia Gainullina, et al.. (2020). Transcriptomic profiling of experimental arterial injury reveals new mechanisms and temporal dynamics in vascular healing response. SHILAP Revista de lepidopterología. 1. 13–27. 10 indexed citations
6.
Lengquist, Mariette, et al.. (2018). Noninvasive in vivo Assessment of the Re‐endothelialization Process Using Ultrasound Biomicroscopy in the Rat Carotid Artery Balloon Injury Model. Journal of Ultrasound in Medicine. 38(7). 1723–1731. 5 indexed citations
7.
Cerroni, Barbara, Anton Razuvaev, Johan Härmark, et al.. (2017). Cellular Uptake of Plain and SPION-Modified Microbubbles for Potential Use in Molecular Imaging. Cellular and Molecular Bioengineering. 10(6). 537–548. 11 indexed citations
8.
Lengquist, Mariette, et al.. (2016). Effects of Linagliptin on Vessel Wall Healing in the Rat Model of Arterial Injury Under Normal and Diabetic Conditions. Journal of Cardiovascular Pharmacology. 69(2). 101–109. 5 indexed citations
9.
Perisic, Ljubica, Silvia Aldi, Yuhang Sun, et al.. (2015). Gene expression signatures, pathways and networks in carotid atherosclerosis. Journal of Internal Medicine. 279(3). 293–308. 94 indexed citations
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Lundberg, Johan, Anton Razuvaev, Bengt Isaksson, et al.. (2015). Liver parenchyma access and lesion marker via the endovascular route. Journal of Surgical Research. 195(2). 488–494. 2 indexed citations
12.
Kostareva, Anna, et al.. (2014). Early Changes of Gene Expression Profiles in the Rat Model of Arterial Injury. Journal of Vascular and Interventional Radiology. 25(5). 789–796.e7. 13 indexed citations
13.
Wågsäter, Dick, Daniel Johansson, Vincent Fontaine, et al.. (2012). Serine protease inhibitor A3 in atherosclerosis and aneurysm disease. International Journal of Molecular Medicine. 30(2). 288–294. 42 indexed citations
14.
Razuvaev, Anton, Johan Ekstrand, Lasse Folkersen, et al.. (2011). Correlations Between Clinical Variables and Gene-expression Profiles in Carotid Plaque Instability. European Journal of Vascular and Endovascular Surgery. 42(6). 722–730. 39 indexed citations
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Ekstrand, Johan, Anton Razuvaev, Lasse Folkersen, Joy Roy, & Ulf Hedin. (2010). Tissue factor pathway inhibitor-2 is induced by fluid shear stress in vascular smooth muscle cells and affects cell proliferation and survival. Journal of Vascular Surgery. 52(1). 167–175. 30 indexed citations
17.
Ekstrand, Johan, Anton Razuvaev, Joy Roy, & Ulf Hedin. (2010). PS238. Regulation of Endothelin-1 and Endothelin Receptors by Shear Stress in Vascular Smooth Muscle Cells. Journal of Vascular Surgery. 51(6). 80S–80S. 1 indexed citations
18.
Folkersen, Lasse, Sanela Kurtovic, Anton Razuvaev, et al.. (2009). Endogenous control genes in complex vascular tissue samples. BMC Genomics. 10(1). 516–516. 14 indexed citations
19.
Razuvaev, Anton, et al.. (2008). Noninvasive real-time imaging of intima thickness after rat carotid artery balloon injury using ultrasound biomicroscopy. Atherosclerosis. 199(2). 310–316. 27 indexed citations
20.
Razuvaev, Anton, Leonard Girnita, Olle Larsson, et al.. (2007). The cyclolignan picropodophyllin attenuates intimal hyperplasia after rat carotid balloon injury by blocking insulin-like growth factor-1 receptor signaling. Journal of Vascular Surgery. 46(1). 108–115. 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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