Timothy V. Pyrkov

919 total citations
19 papers, 601 citations indexed

About

Timothy V. Pyrkov is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health. According to data from OpenAlex, Timothy V. Pyrkov has authored 19 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 3 papers in Health. Recurrent topics in Timothy V. Pyrkov's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (8 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Timothy V. Pyrkov is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (8 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Timothy V. Pyrkov collaborates with scholars based in Russia, Singapore and United States. Timothy V. Pyrkov's co-authors include Roman G. Efremov, Anton O. Chugunov, Nikolay A. Krylov, Dmitry E. Nolde, П. О. Федичев, Edgar Jacoby, John P. Priestle, Alexander S. Arseniev, L. I. Men’shikov and Andrei V. Gudkov and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Timothy V. Pyrkov

19 papers receiving 587 citations

Peers

Timothy V. Pyrkov

CTM

AGING

GENET

Parminder Kaur United States

Hiroko Miyadera Japan

Arden Perkins United States

Eva Kummer Switzerland

Qinglian Liu United States

Laura E. Zawadzke United States

Zelek S. Herman United States

Cláudia Barbosa Ladeira de Campos Brazil

Luigi De Colibus United Kingdom

Marcin von Grotthuss United States

Parminder Kaur United States

Timothy V. Pyrkov

974 ×3.0

40 ×0.5

CTM

53 ×0.8

16 ×0.2

AGING

56 ×1.0

GENET

Citations per year, relative to Timothy V. Pyrkov Timothy V. Pyrkov (= 1×) peers Parminder Kaur

Countries citing papers authored by Timothy V. Pyrkov

Since Specialization

Citations

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

Fields of papers citing papers by Timothy V. Pyrkov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy V. Pyrkov. 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 Timothy V. Pyrkov. The network helps show where Timothy V. Pyrkov may publish in the future.

Co-authorship network of co-authors of Timothy V. Pyrkov

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy V. Pyrkov. A scholar is included among the top collaborators of Timothy V. Pyrkov 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 Timothy V. Pyrkov. Timothy V. Pyrkov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Ng, Ted Kheng Siang, David B. Matchar, Timothy V. Pyrkov, et al.. (2021). Association between housing type and accelerated biological aging in different sexes: moderating effects of health behaviors. Aging. 13(16). 20029–20049. 2 indexed citations

Ying, Kejun, Ranran Zhai, Timothy V. Pyrkov, et al.. (2021). Genetic and phenotypic analysis of the causal relationship between aging and COVID-19. SHILAP Revista de lepidopterología. 1(1). 35–35. 20 indexed citations

Pyrkov, Timothy V., et al.. (2021). Longitudinal analysis of blood markers reveals progressive loss of resilience and predicts human lifespan limit. Nature Communications. 12(1). 2765–2765. 51 indexed citations

Pyrkov, Timothy V., et al.. (2021). Deep longitudinal phenotyping of wearable sensor data reveals independent markers of longevity, stress, and resilience. Aging. 13(6). 7900–7913. 19 indexed citations

Ying, Kejun, Ranran Zhai, Timothy V. Pyrkov, et al.. (2021). Genetic and Phenotypic Evidence for the Causal Relationship Between Aging and COVID-19. Innovation in Aging. 5(Supplement_1). 330–330. 1 indexed citations

Pyrkov, Timothy V., et al.. (2018). Extracting biological age from biomedical data via deep learning: too much of a good thing?. Scientific Reports. 8(1). 5210–5210. 68 indexed citations

Pyrkov, Timothy V., et al.. (2018). Quantitative characterization of biological age and frailty based on locomotor activity records. Aging. 10(10). 2973–2990. 32 indexed citations

Pyrkov, Timothy V., E.V. Schmalhausen, Andrey N. Shkoporov, et al.. (2013). Structure‐Based Design of Small‐Molecule Ligands of Phosphofructokinase‐2 Activating or Inhibiting Glycolysis. ChemMedChem. 8(8). 1322–1329. 6 indexed citations

Pyrkov, Timothy V., et al.. (2011). Atomic-scale lateral heterogeneity and dynamics of two-component lipid bilayers composed of saturated and unsaturated phosphatidylcholines. Soft Matter. 7(6). 2569–2569. 26 indexed citations

10.

Pyrkov, Timothy V., et al.. (2010). Analysis of hydrophobic interactions of antagonists with the beta2-adrenergic receptor. SAR and QSAR in environmental research. 21(1-2). 37–55. 8 indexed citations

11.

Pyrkov, Timothy V., et al.. (2010). Molecular docking: The role of noncovalent interactions in the formation of protein-nucleotide and protein-peptide complexes. Russian Journal of Bioorganic Chemistry. 36(4). 446–455. 23 indexed citations

12.

Pyrkov, Timothy V., et al.. (2009). The Role of Stacking Interactions in Complexes of Proteins with Adenine and Guanine Fragments of Ligands. Acta Naturae. 1(1). 124–127. 19 indexed citations

13.

Pyrkov, Timothy V., Anton O. Chugunov, Nikolay A. Krylov, Dmitry E. Nolde, & Roman G. Efremov. (2009). PLATINUM: a web tool for analysis of hydrophobic/hydrophilic organization of biomolecular complexes. Bioinformatics. 25(9). 1201–1202. 147 indexed citations

14.

Pyrkov, Timothy V., et al.. (2009). The role of stacking interactions in complexes of proteins with adenine and Guanine fragments of ligands.. PubMed. 1(1). 124–7. 14 indexed citations

15.

Pyrkov, Timothy V., J.P. Priestle, Edgar Jacoby, & Roman G. Efremov. (2008). Ligand-specific scoring functions: improved ranking of docking solutions. SAR and QSAR in environmental research. 19(1-2). 91–99. 7 indexed citations

16.

Efremov, Roman G., Anton O. Chugunov, Timothy V. Pyrkov, et al.. (2007). Molecular Lipophilicity in Protein Modeling and Drug Design. Current Medicinal Chemistry. 14(4). 393–415. 121 indexed citations

17.

Pyrkov, Timothy V. & Roman G. Efremov. (2007). A Fragment-Based Scoring Function to Re-rank ATP Docking Results. International Journal of Molecular Sciences. 8(11). 1083–1094. 8 indexed citations

18.

Pyrkov, Timothy V., Yuri Kosinsky, Alexander S. Arseniev, et al.. (2007). Docking of ATP to Ca-ATPase: Considering Protein Domain Motions. Journal of Chemical Information and Modeling. 47(3). 1171–1181. 7 indexed citations

19.

Pyrkov, Timothy V., Yuri Kosinsky, Alexander S. Arseniev, et al.. (2006). Complementarity of hydrophobic properties in ATP‐protein binding: A new criterion to rank docking solutions. Proteins Structure Function and Bioinformatics. 66(2). 388–398. 22 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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