Dmitriy Korostin

470 total citations
43 papers, 259 citations indexed

About

Dmitriy Korostin is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Dmitriy Korostin has authored 43 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Immunology and 6 papers in Genetics. Recurrent topics in Dmitriy Korostin's work include Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (7 papers). Dmitriy Korostin is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (7 papers). Dmitriy Korostin collaborates with scholars based in Russia, United States and Australia. Dmitriy Korostin's co-authors include Denis Rebrikov, Valery Ilinsky, D. Yu. Trofimov, Alexander Tonevitsky, Evgeny Vasilyev, Владимир Наумов, Nikolay A. Kulemin, A. Yu. Gorbachev, Dmitriy M. Chudakov and Olga V. Britanova and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Dmitriy Korostin

35 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmitriy Korostin Russia 6 96 64 54 48 44 43 259
Linlin Li China 8 135 1.4× 83 1.3× 50 0.9× 109 2.3× 56 1.3× 15 370
Yafei Chang China 6 134 1.4× 71 1.1× 58 1.1× 92 1.9× 16 0.4× 14 288
Gaëlle Vilchez France 6 126 1.3× 31 0.5× 31 0.6× 36 0.8× 25 0.6× 8 241
Mustapha Hajjou United States 10 142 1.5× 34 0.5× 38 0.7× 88 1.8× 68 1.5× 12 360
G. Esparza Gómez Mexico 6 68 0.7× 22 0.3× 40 0.7× 31 0.6× 21 0.5× 14 210
Won-Il Kim South Korea 9 175 1.8× 53 0.8× 40 0.7× 71 1.5× 18 0.4× 20 368
Ma. del Rocío Baños-Lara Mexico 10 68 0.7× 80 1.3× 71 1.3× 161 3.4× 15 0.3× 15 360
Hongliang Zhang China 10 136 1.4× 31 0.5× 147 2.7× 36 0.8× 26 0.6× 26 322
Elizabeth J. Fay United States 9 124 1.3× 27 0.4× 16 0.3× 63 1.3× 16 0.4× 13 267

Countries citing papers authored by Dmitriy Korostin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitriy Korostin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitriy Korostin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitriy Korostin. A scholar is included among the top collaborators of Dmitriy Korostin 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 Dmitriy Korostin. Dmitriy Korostin 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.
Loginova, Maria, et al.. (2025). Identification of the Novel HLA‐B*38:01:26 Allele by Next‐Generation Sequencing. HLA. 105(1). e70017–e70017. 1 indexed citations
2.
Сычев, Д. А., et al.. (2025). Exome-wide association study of bleeding events in patients receiving direct oral anticoagulants. Science Progress. 108(4). 352369377–352369377.
3.
Yukina, M. Yu., Elena V. Kulagina, Е. А. Трошина, et al.. (2024). Trio-based exome sequencing and high-resolution HLA typing in families of patients with autoimmune adrenal insufficiency and autoimmune polyglandular syndrome. PLoS ONE. 19(10). e0312335–e0312335.
4.
Korostin, Dmitriy, et al.. (2024). Heterogeneous Group of Genetically Determined Auditory Neuropathy Spectrum Disorders. International Journal of Molecular Sciences. 25(23). 12554–12554.
5.
Zaklyazminskaya, E. V., Dmitriy Korostin, Pavel A. Petukhov, et al.. (2024). Effects of Angiotensin-I-Converting Enzyme (ACE) Mutations Associated with Alzheimer’s Disease on Blood ACE Phenotype. Biomedicines. 12(10). 2410–2410. 1 indexed citations
7.
Chebotar, I. V., et al.. (2023). Clonal diversity, antimicrobial resistance, and genome features among nonfermenting gram-negative bacteria isolated from patients with cystic fibrosis in Russia. Diagnostic Microbiology and Infectious Disease. 108(2). 116102–116102. 3 indexed citations
8.
Korostin, Dmitriy, et al.. (2023). Benchmarking DNA isolation methods for marine metagenomics. Scientific Reports. 13(1). 22138–22138. 9 indexed citations
9.
Rebrikov, Denis, et al.. (2022). System analysis of the sequencing quality of human whole exome samples on BGI NGS platform. Scientific Reports. 12(1). 18 indexed citations
10.
Мukhina, Olga A., Daria Fomina, Vladimir А. Gushchin, et al.. (2022). SARS-CoV-2 evolution in a patient with secondary B-cell immunodeficiency: A clinical case. Human Vaccines & Immunotherapeutics. 18(6). 2101334–2101334. 4 indexed citations
11.
Chaplin, Andrei V., V. A. Shcherbakova, Dmitriy Korostin, et al.. (2022). Diplocloster agilis gen. nov., sp. nov. and Diplocloster modestus sp. nov., two novel anaerobic fermentative members of Lachnospiraceae isolated from human faeces. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 72(2). 3 indexed citations
12.
Chaplin, Andrei V., et al.. (2022). Characteristics of Stenotrophomonas maltophilia isolates from cystic fibrosis patients in Russia. Russian Clinical Laboratory Diagnostics. 67(5). 315–320. 4 indexed citations
13.
Rebrikov, Denis, et al.. (2022). Performance comparison of Agilent new SureSelect All Exon v8 probes with v7 probes for exome sequencing. BMC Genomics. 23(1). 582–582. 4 indexed citations
14.
Loginova, Maria, et al.. (2021). HLA‐A*11:382N, a novel HLA‐A null allele identified by next‐generation sequencing. HLA. 97(5). 448–449. 3 indexed citations
15.
Chaplin, Andrei V., et al.. (2021). Identification of bacterial antibiotic resistance genes in next-generation sequencing data (review of literature). Russian Clinical Laboratory Diagnostics. 66(11). 684–688. 2 indexed citations
16.
Chaplin, Andrei V., et al.. (2021). Genome features and antibiotic resistance of Pseudomonas aeruginosa strains isolated in patients with cystic fibrosis in the Russian Federation. Russian Clinical Laboratory Diagnostics. 66(10). 629–634. 3 indexed citations
17.
Korostin, Dmitriy, et al.. (2020). NGS data analysis algorithm for evaluating repertoire of T-cell receptors involved in the antitumor immune response. Immunologiya. 41(5). 400–410. 1 indexed citations
18.
Vinogradov, Alexander E., Olga V. Anatskaya, Alekseenko Lp, et al.. (2017). Molecular Genetic Analysis of Human Endometrial Mesenchymal Stem Cells That Survived Sublethal Heat Shock. Stem Cells International. 2017. 1–14. 10 indexed citations
19.
Zvyagin, Ivan V., Ilgar Z. Mamedov, Olga V. Britanova, et al.. (2010). Contribution of functional KIR3DL1 to ankylosing spondylitis. Cellular and Molecular Immunology. 7(6). 471–476. 31 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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