Yuriy Gankin

513 total citations
22 papers, 236 citations indexed

About

Yuriy Gankin is a scholar working on Molecular Biology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuriy Gankin has authored 22 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cognitive Neuroscience and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuriy Gankin's work include Autism Spectrum Disorder Research (4 papers), COVID-19 epidemiological studies (3 papers) and COVID-19 Pandemic Impacts (3 papers). Yuriy Gankin is often cited by papers focused on Autism Spectrum Disorder Research (4 papers), COVID-19 epidemiological studies (3 papers) and COVID-19 Pandemic Impacts (3 papers). Yuriy Gankin collaborates with scholars based in United States, Russia and Italy. Yuriy Gankin's co-authors include Albert Robbat, Alexander Kirpich, Nicole Kfoury, Rita Dunn, Andrey Vyshedskiy, Pavel Skums, Thomas A. Weppelmann, Diana Litmanovich, Stephen M. Edelson and Petr O. Ilyinskii and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Yuriy Gankin

20 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuriy Gankin United States 11 56 39 37 32 26 22 236
S. Sauer Germany 11 12 0.2× 4 0.1× 59 1.6× 50 1.6× 5 0.2× 20 333
Patrícia Oliveira de Lima Brazil 9 3 0.1× 7 0.2× 56 1.5× 45 1.4× 28 1.1× 13 272
M. Joseph Meyer United States 8 30 0.5× 5 0.1× 12 0.3× 15 0.5× 19 0.7× 17 248
Jo Marchant Canada 7 21 0.4× 8 0.2× 37 1.0× 2 0.1× 28 1.1× 49 250
Irene Chang United States 11 14 0.3× 4 0.1× 111 3.0× 15 0.5× 14 0.5× 18 352
Raquel Martín Spain 13 38 0.7× 27 0.7× 45 1.4× 6 0.2× 29 319
Ryan Lee United States 11 25 0.4× 1 0.0× 26 0.7× 7 0.2× 13 0.5× 43 275
Jennifer Smith United Kingdom 7 31 0.6× 6 0.2× 84 2.3× 2 0.1× 47 1.8× 17 318
Rucha Mehta United States 9 88 1.6× 1 0.0× 99 2.7× 34 1.1× 7 0.3× 14 475
Zahra Moradi Iran 10 11 0.2× 47 1.3× 11 0.3× 8 0.3× 45 329

Countries citing papers authored by Yuriy Gankin

Since Specialization
Citations

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

Fields of papers citing papers by Yuriy Gankin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuriy Gankin

This figure shows the co-authorship network connecting the top 25 collaborators of Yuriy Gankin. A scholar is included among the top collaborators of Yuriy Gankin 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 Yuriy Gankin. Yuriy Gankin 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.
Dudek, Natasha K., et al.. (2024). Supervised machine learning for microbiomics: Bridging the gap between current and best practices. SHILAP Revista de lepidopterología. 18. 100607–100607.
2.
Gankin, Yuriy, et al.. (2024). Explainable AI to identify radiographic features of pulmonary edema. PubMed. 1(1). umae003–umae003.
3.
Yang, Chen, Yuriy Gankin, Gerardo Chowell, et al.. (2023). Excess mortality in Ukraine during the course of COVID-19 pandemic in 2020–2021. Scientific Reports. 13(1). 6917–6917. 5 indexed citations
4.
Klyshnikov, K. Yu., et al.. (2023). Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization. Frontiers in Bioengineering and Biotechnology. 11. 1238130–1238130. 7 indexed citations
5.
Litmanovich, Diana, et al.. (2022). Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow. Scientific Reports. 12(1). 12791–12791. 18 indexed citations
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Vilenchik, Maria, et al.. (2022). Novel Efficient Multistage Lead Optimization Pipeline Experimentally Validated for DYRK1B Selective Inhibitors. Journal of Medicinal Chemistry. 65(20). 13784–13792. 6 indexed citations
8.
Kirpich, Alexander, et al.. (2021). Indirect supervision applied to COVID-19 and pneumonia classification. Informatics in Medicine Unlocked. 28. 100835–100835. 5 indexed citations
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Gankin, Yuriy, et al.. (2021). Investigating the first stage of the COVID-19 pandemic in Ukraine using epidemiological and genomic data. Infection Genetics and Evolution. 95. 105087–105087. 10 indexed citations
11.
Vyshedskiy, Andrey, et al.. (2020). Novel Prefrontal Synthesis Intervention Improves Language in Children with Autism. Healthcare. 8(4). 566–566. 22 indexed citations
12.
Kfoury, Nicole, et al.. (2018). Differentiation of key biomarkers in tea infusions using a target/nontarget gas chromatography/mass spectrometry workflow. Food Research International. 113. 414–423. 18 indexed citations
13.
Vilenchik, Maria, et al.. (2017). Abstract 3195: DYRK1B inhibitors prevent pharmacologic quiescence and sensitize lung cancers to EGFR inhibitors. Cancer Research. 77(13_Supplement). 3195–3195. 1 indexed citations
14.
Robbat, Albert, et al.. (2017). Optimizing targeted/untargeted metabolomics by automating gas chromatography/mass spectrometry workflows. Journal of Chromatography A. 1505. 96–105. 19 indexed citations
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Морозова, Ирина, Pavel Flegontov, Alexander S. Mikheyev, et al.. (2016). Toward high-resolution population genomics using archaeological samples. DNA Research. 23(4). 295–310. 18 indexed citations
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Gankin, Yuriy, et al.. (1998). Time-Condensed Analyses by Mass Spectrometry. Analytical Chemistry. 70(9). 1655–1663. 16 indexed citations
20.
Gankin, Yuriy, et al.. (1995). Identification of PCB Congeners by Gas Chromatography Electron Capture Detection Employing a Quantitative Structure-Retention Model. Analytical Chemistry. 67(15). 2548–2555. 11 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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