Evgeny Vasilyev

406 total citations
32 papers, 277 citations indexed

About

Evgeny Vasilyev is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Evgeny Vasilyev has authored 32 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Evgeny Vasilyev's work include Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (6 papers) and Parathyroid Disorders and Treatments (5 papers). Evgeny Vasilyev is often cited by papers focused on Diabetes and associated disorders (7 papers), Pancreatic function and diabetes (6 papers) and Parathyroid Disorders and Treatments (5 papers). Evgeny Vasilyev collaborates with scholars based in Russia and United States. Evgeny Vasilyev's co-authors include Anatoly Tiulpakov, Alexander Tonevitsky, Valery Ilinsky, D. Yu. Trofimov, Dmitriy Korostin, Denis Rebrikov, Elizaveta Mamedova, И. И. Дедов, Zhanna Belaya and О. Б. Безлепкина and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Evgeny Vasilyev

30 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evgeny Vasilyev Russia 9 108 93 76 64 51 32 277
Mussa Mohamed United States 4 30 0.3× 85 0.9× 99 1.3× 15 0.2× 98 1.9× 6 231
Nur Muhammad United States 5 23 0.2× 57 0.6× 95 1.3× 20 0.3× 88 1.7× 8 198
Nondita S. Malo United States 3 23 0.2× 55 0.6× 85 1.1× 20 0.3× 74 1.5× 4 175
Tomokazu Nunoue Japan 8 25 0.2× 46 0.5× 25 0.3× 11 0.2× 32 0.6× 16 276
Wendell Davis United States 11 12 0.1× 58 0.6× 50 0.7× 13 0.2× 32 0.6× 22 320
Abeba Teshager United States 4 23 0.2× 77 0.8× 82 1.1× 14 0.2× 82 1.6× 5 201
Joseph W. Henderson United States 9 62 0.6× 92 1.0× 39 0.5× 19 0.3× 123 2.4× 15 337
Bettina Hansen Denmark 10 72 0.7× 99 1.1× 20 0.3× 8 0.1× 9 0.2× 15 342
Angela K. Moss United States 4 18 0.2× 56 0.6× 84 1.1× 23 0.4× 96 1.9× 8 200
Christine Hober France 11 149 1.4× 61 0.7× 164 2.2× 4 0.1× 237 4.6× 28 371

Countries citing papers authored by Evgeny Vasilyev

Since Specialization
Citations

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

Fields of papers citing papers by Evgeny Vasilyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgeny Vasilyev

This figure shows the co-authorship network connecting the top 25 collaborators of Evgeny Vasilyev. A scholar is included among the top collaborators of Evgeny Vasilyev 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 Evgeny Vasilyev. Evgeny Vasilyev 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.
Трошина, Е. А., M. Yu. Yukina, Evgeny Vasilyev, et al.. (2022). Association of Alleles of Human Leukocyte Antigen Class II Genes and Severity of COVID-19 in Patients of the ‘Red Zone’ of the Endocrinology Research Center, Moscow, Russia. SHILAP Revista de lepidopterología. 10(4). 99–99. 3 indexed citations
2.
Vasilyev, Evgeny, et al.. (2022). A Founder Mutation in the POMC 5′-UTR Causes Proopiomelanocortin Deficiency Through Splicing-Mediated Decrease of mRNA. The Journal of Clinical Endocrinology & Metabolism. 107(9). e3654–e3660. 2 indexed citations
3.
Платонова, Н. М., et al.. (2022). Circular RNAs and thyroid cancer: Closed molecules, open possibilities. Critical Reviews in Oncology/Hematology. 173. 103662–103662. 6 indexed citations
4.
Vasilyev, Evgeny, et al.. (2021). Clinical and molecular genetic features of cases of isolated hypogonadotropic hypogonadism, associated with defects in <i>GNRHR</i> genes. Problems of Endocrinology. 67(3). 62–67. 1 indexed citations
5.
Mamedova, Elizaveta, et al.. (2021). Familial Acromegaly and Bilateral Asynchronous Pheochromocytomas in a Female Patient With a MAX Mutation: A Case Report. Frontiers in Endocrinology. 12. 683492–683492. 9 indexed citations
6.
Eremkina, Anna, et al.. (2020). A series of clinical cases of familial hypocalciuric hypercalcemia syndrome. Problems of Endocrinology. 66(5). 61–69. 1 indexed citations
8.
Vasilyev, Evgeny, et al.. (2019). Mutations in transcription factor as rare causes of diabetes in pregnancy. Diabetes Mellitus. 22(3). 274–280. 3 indexed citations
9.
Рубцов, П. М., et al.. (2019). A synonymous variant in GCK gene as a cause of gestational diabetes mellitus. Diabetes Mellitus. 22(2). 165–169. 1 indexed citations
11.
Vasilyev, Evgeny, et al.. (2019). High frequency of pathogenic and rare sequence variants in diabetes-related genes among Russian patients with diabetes in pregnancy. Acta Diabetologica. 56(4). 413–420. 10 indexed citations
12.
Vasilyev, Evgeny, et al.. (2018). Clinical and molecular genetic characteristics of MODY1—3 cases in the Russian Federation as shown by NGS. Problems of Endocrinology. 63(6). 369–378. 5 indexed citations
13.
Orlova, Elizaveta, et al.. (2018). The role of molecular genetic methods in the diagnosis of McCune—Albright syndrome. Problems of Endocrinology. 63(6). 360–368. 1 indexed citations
14.
Безлепкина, О. Б., et al.. (2018). Study of molecular basis of thyroid dysgenesis. SHILAP Revista de lepidopterología. 14(2). 64–71. 1 indexed citations
15.
Безлепкина, О. Б., et al.. (2018). High frequency of mutations in 'dyshormonogenesis genes' in severe congenital hypothyroidism. PLoS ONE. 13(9). e0204323–e0204323. 43 indexed citations
16.
Безлепкина, О. Б., et al.. (2017). A case of congenital hypothyroidism combined with sensorineural hearing loss (Pendred syndrome) caused by a TPO gene defect. Problems of Endocrinology. 63(2). 110–113. 1 indexed citations
17.
Mamedova, Elizaveta, Natalia Mokrysheva, Ekaterina Pigarova, et al.. (2016). Phenocopies of multiple endocrine neoplasia type 1: role of the genes, associated with the development of pituitary adenomas. Problems of Endocrinology. 62(4). 4–10.
18.
Mamedova, Elizaveta, Natalia Mokrysheva, Ekaterina Pigarova, et al.. (2016). Molecular and genetic features of primary hyperparathyroidism in young patients. Problems of Endocrinology. 62(2). 4–11. 6 indexed citations
19.
Vasilyev, Evgeny, et al.. (2015). The Prevalence of Different Subtypes of Maturity-Onset Diabetes of the Young in Russian Federation as Defined by Targeted Next-Generation Sequencing. 84. 1 indexed citations
20.
Vasilyev, Evgeny, D. Yu. Trofimov, Alexander Tonevitsky, et al.. (2009). Torque Teno Virus (TTV) distribution in healthy Russian population. Virology Journal. 6(1). 134–134. 78 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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