Dmitriy D. Matyushin

469 total citations
34 papers, 335 citations indexed

About

Dmitriy D. Matyushin is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Dmitriy D. Matyushin has authored 34 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Spectroscopy, 14 papers in Molecular Biology and 14 papers in Biomedical Engineering. Recurrent topics in Dmitriy D. Matyushin's work include Analytical Chemistry and Chromatography (22 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Computational Drug Discovery Methods (13 papers). Dmitriy D. Matyushin is often cited by papers focused on Analytical Chemistry and Chromatography (22 papers), Metabolomics and Mass Spectrometry Studies (13 papers) and Computational Drug Discovery Methods (13 papers). Dmitriy D. Matyushin collaborates with scholars based in Russia. Dmitriy D. Matyushin's co-authors include Aleksey K. Buryak, А. Н. Ставрианиди, А. К. Buryak, Kirill P. Birin, A. K. Buryak, М. В. Шашков, Yu. V. Patrushev, А. А. Zhdanov and V. I. Trushlyakov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Analytical Chemistry and Chemosphere.

In The Last Decade

Dmitriy D. Matyushin

29 papers receiving 320 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 D. Matyushin Russia 10 199 158 123 112 41 34 335
Aleksey K. Buryak Russia 11 180 0.9× 153 1.0× 112 0.9× 106 0.9× 37 0.9× 29 417
Elizabeth Billings United States 8 158 0.8× 198 1.3× 56 0.5× 64 0.6× 29 0.7× 10 303
Ann Detroyer France 9 139 0.7× 50 0.3× 48 0.4× 66 0.6× 100 2.4× 15 292
J.J. Martı́nez-Pla Spain 10 287 1.4× 136 0.9× 115 0.9× 72 0.6× 95 2.3× 12 395
Fabiana Alves de Lima Ribeiro Brazil 9 148 0.7× 78 0.5× 111 0.9× 84 0.8× 126 3.1× 12 418
Maryam Taraji Australia 10 345 1.7× 182 1.2× 112 0.9× 154 1.4× 190 4.6× 14 452
Anna W. Sobańska Poland 11 132 0.7× 50 0.3× 29 0.2× 92 0.8× 59 1.4× 39 290
Tzipporah M. Kertesz United States 6 197 1.0× 201 1.3× 33 0.3× 38 0.3× 29 0.7× 6 330
Roman Řemínek Czechia 13 134 0.7× 195 1.2× 238 1.9× 19 0.2× 25 0.6× 28 565
Martin A. Ott Netherlands 7 53 0.3× 93 0.6× 34 0.3× 52 0.5× 37 0.9× 15 245

Countries citing papers authored by Dmitriy D. Matyushin

Since Specialization
Citations

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

Fields of papers citing papers by Dmitriy D. Matyushin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitriy D. Matyushin

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitriy D. Matyushin. A scholar is included among the top collaborators of Dmitriy D. Matyushin 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 D. Matyushin. Dmitriy D. Matyushin 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.
Matyushin, Dmitriy D., et al.. (2024). Refinement of Retention Indices in Gas Chromatography for a Number of Substituted Phenols. SHILAP Revista de lepidopterología. 5(4). 641–653.
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Matyushin, Dmitriy D., et al.. (2024). A general procedure for finding potentially erroneous entries in the database of retention indices. Analytica Chimica Acta. 1297. 342375–342375. 4 indexed citations
4.
Matyushin, Dmitriy D., et al.. (2024). Uncertainty Quantification and Flagging of Unreliable Predictions in Predicting Mass Spectrometry-Related Properties of Small Molecules Using Machine Learning. International Journal of Molecular Sciences. 25(23). 13077–13077. 2 indexed citations
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Matyushin, Dmitriy D., et al.. (2024). Large-scale statistical study of the dependence of retention index on heating rate in temperature-programmed gas chromatography. Journal of Chromatography A. 1732. 465223–465223. 2 indexed citations
7.
Matyushin, Dmitriy D., et al.. (2024). Molecular Similarity Used for Evaluating the Accuracy of Retention Index Predictions in Gas Chromatography Using Deep Learning. Russian Journal of Physical Chemistry A. 98(13). 3212–3219.
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Matyushin, Dmitriy D., et al.. (2024). A comparison of published in 2018-2024 general-purpose models for predicting gas chromatographic retention indices. Сорбционные и хроматографические процессы. 24(5). 711–722.
9.
Matyushin, Dmitriy D., et al.. (2023). Effect of Different Factors on Predicting Constants of Acidity of Low-Molecular Organic Compounds by Means of Machine Learning. Russian Journal of Physical Chemistry A. 97(2). 377–383.
10.
Matyushin, Dmitriy D. & А. К. Buryak. (2023). Application of regression learning for gas chromatographic analysis and prediction of toxicity of organic molecules. Russian Chemical Bulletin. 72(2). 482–492. 3 indexed citations
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Matyushin, Dmitriy D., et al.. (2022). How searching against multiple libraries can lead to biased results in GC/MS‐based metabolomics. Rapid Communications in Mass Spectrometry. 37(3). e9437–e9437. 5 indexed citations
14.
Шашков, М. В., et al.. (2021). Comprehensive Analysis of the Liquid Fraction of Car Tire Pyrolysis Products by Gas Chromatography–Mass Spectrometry. Russian Journal of Applied Chemistry. 94(1). 122–128. 2 indexed citations
15.
Matyushin, Dmitriy D., et al.. (2021). Deep learning for retention time prediction in reversed-phase liquid chromatography. Journal of Chromatography A. 1664. 462792–462792. 47 indexed citations
16.
Matyushin, Dmitriy D. & Aleksey K. Buryak. (2020). Gas Chromatographic Retention Index Prediction Using Multimodal Machine Learning. IEEE Access. 8. 223140–223155. 35 indexed citations
17.
Matyushin, Dmitriy D., et al.. (2019). A deep convolutional neural network for the estimation of gas chromatographic retention indices. Journal of Chromatography A. 1607. 460395–460395. 46 indexed citations
18.
Matyushin, Dmitriy D., et al.. (2019). Interaction of S,N-Derivatives of Alkylhydrazines with Carbon Sorbents. Colloid Journal. 81(4). 431–438. 4 indexed citations
19.
Birin, Kirill P., et al.. (2018). Isomeric derivatives of triazoles as new toxic decomposition products of 1,1-dimethylhydrazine. Chemosphere. 217. 95–99. 27 indexed citations
20.
Matyushin, Dmitriy D., et al.. (2018). Laser desorption ionization mass spectrometry imaging for the study of metal surfaces. Surface Innovations. 6(4–5). 244–249. 10 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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