В. Е. Синицын

3.9k total citations
167 papers, 1.4k citations indexed

About

В. Е. Синицын is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, В. Е. Синицын has authored 167 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Cardiology and Cardiovascular Medicine and 30 papers in Surgery. Recurrent topics in В. Е. Синицын's work include Cardiomyopathy and Myosin Studies (24 papers), Cardiac Imaging and Diagnostics (23 papers) and Advanced X-ray and CT Imaging (17 papers). В. Е. Синицын is often cited by papers focused on Cardiomyopathy and Myosin Studies (24 papers), Cardiac Imaging and Diagnostics (23 papers) and Advanced X-ray and CT Imaging (17 papers). В. Е. Синицын collaborates with scholars based in Russia, Tajikistan and United States. В. Е. Синицын's co-authors include Ekaterina Pechenkova, Е. А. Мершина, I. B. Kozlovskaya, О. Беличенко, Lin Chen, Thomas D. Hedrick, В. С. Оганов, Daniel L. Feeback, Adrian LeBlanc and Linda Shackelford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

В. Е. Синицын

112 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
В. Е. Синицын Russia 16 503 334 238 203 150 167 1.4k
Marc‐Antoine Custaud France 23 892 1.8× 116 0.3× 385 1.6× 149 0.7× 138 0.9× 74 1.5k
Claude Gharib France 22 647 1.3× 78 0.2× 411 1.7× 161 0.8× 128 0.9× 48 1.3k
C Gharib France 24 991 2.0× 73 0.2× 501 2.1× 155 0.8× 159 1.1× 100 1.7k
Justin S. Lawley Austria 22 448 0.9× 141 0.4× 528 2.2× 175 0.9× 99 0.7× 83 1.6k
Akihiro Matsumoto Japan 21 264 0.5× 82 0.2× 653 2.7× 236 1.2× 235 1.6× 82 1.8k
Mitsuhito Mase Japan 24 104 0.2× 287 0.9× 99 0.4× 212 1.0× 275 1.8× 139 2.0k
Woosuk Chung South Korea 19 84 0.2× 110 0.3× 83 0.3× 275 1.4× 317 2.1× 120 1.4k
Brandon R. Macias United States 30 1.9k 3.8× 262 0.8× 221 0.9× 269 1.3× 187 1.2× 137 2.7k
Ting Gao China 22 274 0.5× 258 0.8× 139 0.6× 82 0.4× 312 2.1× 131 1.7k
Shutaro Takashima Japan 21 213 0.4× 147 0.4× 430 1.8× 99 0.5× 181 1.2× 91 1.3k

Countries citing papers authored by В. Е. Синицын

Since Specialization
Citations

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

Fields of papers citing papers by В. Е. Синицын

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of В. Е. Синицын

This figure shows the co-authorship network connecting the top 25 collaborators of В. Е. Синицын. A scholar is included among the top collaborators of В. Е. Синицын 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 В. Е. Синицын. В. Е. Синицын 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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Rosnitskiy, Pavel B., Л. Р. Гаврилов, В. Е. Синицын, et al.. (2024). Compensation for Aberrations When Focusing Ultrasound Through the Skull Based on CT and MRI Data. Acoustical Physics. 70(2). 288–298.
3.
Курбатов, С. В., et al.. (2024). Cognitive and emotional disturbances in adult patients with myotonic dystrophy type 1. SHILAP Revista de lepidopterología. 14(2).
4.
Синицын, В. Е., et al.. (2023). Magnetic Resonance Imaging Evaluation of Focal Therapy Efficacy for Prostate Cancer. SHILAP Revista de lepidopterología. 104(1). 90–100.
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Chernina, Valeria, Mikhail Belyaev, Ilya Pyatnitskiy, et al.. (2023). Analysis of the diagnostic and economic impact of the combined artificial intelligence algorithm for analysis of 10 pathological findings on chest computed tomography. SHILAP Revista de lepidopterología. 4(2). 105–132. 1 indexed citations
8.
Синицын, В. Е., et al.. (2023). Abernethy malformation: A case report. SHILAP Revista de lepidopterología. 4(2). 226–237.
9.
Киселева, А. В., R. P. Myasnikov, А. Н. Мешков, et al.. (2023). Nucleotide sequence variant of the TPM1 gene in a family with different phenotypes of left ventricular non-compaction. CARDIOVASCULAR THERAPY AND PREVENTION. 21(12). 3471–3471.
10.
Myasnikov, R. P., А. Н. Мешков, Е. А. Мершина, et al.. (2023). RBM20 nucleotide sequence variant in a family with a dilated phenotype of left ventricular non-compaction. CARDIOVASCULAR THERAPY AND PREVENTION. 21(12). 3470–3470.
11.
Anfinogenova, Yana, В. Е. Синицын, Б. Н. Козлов, et al.. (2022). Existing and Emerging Approaches to Risk Assessment in Patients with Ascending Thoracic Aortic Dilatation. Journal of Imaging. 8(10). 280–280. 5 indexed citations
12.
Myasnikov, R. P., А. Н. Мешков, Е. А. Мершина, et al.. (2021). Variant of the <i>FLNC</i> gene nucleotide sequence in a family with different phenotypic manifestations of left ventricular non-compaction. SHILAP Revista de lepidopterología. 26(10). 4748–4748. 3 indexed citations
13.
Мершина, Е. А., et al.. (2021). Diagnostic value of standard and modified echocardiographic criteria for left ventricular noncompaction. SHILAP Revista de lepidopterología. 20(5). 2823–2823.
14.
Myasnikov, R. P., Е. А. Мершина, А. Н. Мешков, et al.. (2021). Familial left ventricular noncompaction: phenotypes and clinical course. Results of the multicenter registry. Terapevticheskii arkhiv. 93(4). 381–388. 4 indexed citations
15.
Brodehl, Andreas, А. В. Киселева, R. P. Myasnikov, et al.. (2021). The Desmin (DES) Mutation p.A337P Is Associated with Left-Ventricular Non-Compaction Cardiomyopathy. Genes. 12(1). 121–121. 24 indexed citations
16.
Мершина, Е. А., R. P. Myasnikov, Elena Lukina, et al.. (2020). The non-compacted myocardium in patients with hemochromatosis: a phenomenon or cardiopathy? The role of magnetic resonance imaging and molecular genetics in diagnosis. SHILAP Revista de lepidopterología. 25(4). 3759–3759. 1 indexed citations
17.
Homayounieh, Fatemeh, Ola Holmberg, Rashid Al Umairi, et al.. (2020). Variations in CT Utilization, Protocols, and Radiation Doses in COVID-19 Pneumonia: Results from 28 Countries in the IAEA Study. Radiology. 298(3). E141–E151. 52 indexed citations
18.
Eg, Novikova, et al.. (2016). MRI OPPORTUNITIES IN CERVICAL CANCER LOCAL STAGING PREOPERATIVE EVALUATION. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Мершина, Е. А., et al.. (2016). CAPABILITIES OF MAGNETIC RESONANCE IMAGING TO DIAGNOSE INFILTRATING PELVIC ENDOMETRIOSIS. SHILAP Revista de lepidopterología. 2 indexed citations
20.
Klauß, Miriam, et al.. (2016). CAPABILITIES OF COMPUTED TOMOGRAPHY TO EVALUATE POLYMORPHIC CHANGES IN DESTRUCTIVE PANCREATITIS. SHILAP Revista de lepidopterología. 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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