Eugene Demchuk

1.7k total citations
37 papers, 1.4k citations indexed

About

Eugene Demchuk is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Eugene Demchuk has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Eugene Demchuk's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Eugene Demchuk is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Carcinogens and Genotoxicity Assessment (4 papers). Eugene Demchuk collaborates with scholars based in United States, Germany and India. Eugene Demchuk's co-authors include Rebecca C. Wade, Vladimir Murashov, Harshinder Singh, Adam Fedorowicz, V. Hnizdo, Alexander D. MacKerell, Pedro E. M. Lopes, Neeraj Misra, Donald Bashford and David A. Case and has published in prestigious journals such as Journal of Molecular Biology, The Journal of Physical Chemistry B and Biochemistry.

In The Last Decade

Eugene Demchuk

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugene Demchuk United States 20 625 287 230 186 132 37 1.4k
Saeed Izadi United States 19 1.2k 2.0× 380 1.3× 365 1.6× 187 1.0× 210 1.6× 37 2.0k
René C. van Schaik Netherlands 12 953 1.5× 371 1.3× 381 1.7× 193 1.0× 157 1.2× 17 1.5k
Dennis Thomas United States 23 531 0.8× 466 1.6× 130 0.6× 131 0.7× 356 2.7× 59 1.7k
David Dotson United States 10 1.2k 2.0× 389 1.4× 188 0.8× 219 1.2× 146 1.1× 22 1.9k
Shirley W. I. Siu Macao 23 1.4k 2.2× 268 0.9× 315 1.4× 255 1.4× 294 2.2× 70 2.4k
Shu‐Kun Lin Switzerland 18 294 0.5× 295 1.0× 158 0.7× 110 0.6× 233 1.8× 140 2.1k
Francesc Mas Spain 25 510 0.8× 239 0.8× 253 1.1× 81 0.4× 245 1.9× 109 1.9k
Jonah Z. Vilseck United States 16 543 0.9× 311 1.1× 273 1.2× 186 1.0× 188 1.4× 37 1.3k
John A. Board United States 14 534 0.9× 348 1.2× 594 2.6× 135 0.7× 160 1.2× 36 1.8k
Chuan Tian China 15 1.4k 2.2× 284 1.0× 101 0.4× 245 1.3× 64 0.5× 49 2.2k

Countries citing papers authored by Eugene Demchuk

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Demchuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Demchuk

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Demchuk. A scholar is included among the top collaborators of Eugene Demchuk 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 Eugene Demchuk. Eugene Demchuk 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.
Desai, Saaketh, J. Deanna Wilson, Chao Ji, et al.. (2024). The Role of Simulation Science in Public Health at the Agency for Toxic Substances and Disease Registry: An Overview and Analysis of the Last Decade. Toxics. 12(11). 811–811. 1 indexed citations
2.
Prussia, Andrew, et al.. (2020). Meta-analysis of animal studies applied to short-term inhalation exposure levels of hazardous chemicals. Regulatory Toxicology and Pharmacology. 115. 104682–104682. 2 indexed citations
3.
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Demchuk, Eugene, et al.. (2010). SAR/QSAR methods in public health practice. Toxicology and Applied Pharmacology. 254(2). 192–197. 19 indexed citations
6.
Abadin, Henry, et al.. (2008). Toxicological profile for 1,1,2,2-tetrachloroethane. 8 indexed citations
7.
Snyder, James A., Eugene Demchuk, Erin C. McCanlies, et al.. (2007). Impact of negatively charged patches on the surface of MHC class II antigen-presenting proteins on risk of chronic beryllium disease. Journal of The Royal Society Interface. 5(24). 749–758. 19 indexed citations
8.
Demchuk, Eugene, Berran Yücesoy, Victor J. Johnson, et al.. (2006). A Statistical Model for Assessing Genetic Susceptibility as a Risk Factor in Multifactorial Diseases: Lessons from Occupational Asthma. Environmental Health Perspectives. 115(2). 231–234. 15 indexed citations
9.
Murashov, Vladimir, Martin Harper, & Eugene Demchuk. (2006). Impact of Silanol Surface Density on the Toxicity of Silica Aerosols Measured by Erythrocyte Haemolysis. Journal of Occupational and Environmental Hygiene. 3(12). 718–723. 63 indexed citations
10.
Hnizdo, V., et al.. (2006). Nearest‐neighbor nonparametric method for estimating the configurational entropy of complex molecules. Journal of Computational Chemistry. 28(3). 655–668. 90 indexed citations
11.
Weston, Ainsley, James A. Snyder, Erin C. McCanlies, et al.. (2005). Immunogenetic factors in beryllium sensitization and chronic beryllium disease. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 592(1-2). 68–78. 23 indexed citations
12.
Fedorowicz, Adam, Harshinder Singh, Sidney C. Soderholm, & Eugene Demchuk. (2005). Structure−Activity Models for Contact Sensitization. Chemical Research in Toxicology. 18(6). 954–969. 35 indexed citations
13.
Misra, Neeraj, Harshinder Singh, & Eugene Demchuk. (2003). Estimation of the entropy of a multivariate normal distribution. Journal of Multivariate Analysis. 92(2). 324–342. 36 indexed citations
14.
Hnizdo, V., Adam Fedorowicz, Harshinder Singh, & Eugene Demchuk. (2003). Statistical thermodynamics of internal rotation in a hindering potential of mean force obtained from computer simulations. Journal of Computational Chemistry. 24(10). 1172–1183. 22 indexed citations
15.
Snyder, James A., Ainsley Weston, Sally S. Tinkle, & Eugene Demchuk. (2003). Electrostatic potential on human leukocyte antigen: implications for putative mechanism of chronic beryllium disease.. Environmental Health Perspectives. 111(15). 1827–1834. 21 indexed citations
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Demchuk, Eugene, Donald Bashford, & David A. Case. (1997). Dynamics of a type VI reverse turn in a linear peptide in aqueous solution. PubMed. 2(1). 35–46. 53 indexed citations
18.
Demchuk, Eugene, Donald Bashford, Garry P. Gippert, & David A. Case. (1997). Thermodynamics of a reverse turn motif. Solvent effects and side-chain packing. Journal of Molecular Biology. 270(2). 305–317. 36 indexed citations
19.
Demchuk, Eugene, Thomas D. Mueller, Hartmut Oschkinat, Walter Sebald, & Rebecca C. Wade. (1994). Receptor binding properties of four‐helix‐bundle growth factors deduced from electrostatic analysis. Protein Science. 3(6). 920–935. 58 indexed citations
20.
Wade, Rebecca C., Brock A. Luty, Eugene Demchuk, et al.. (1994). Simulation of enzyme–substrate encounter with gated active sites. Nature Structural & Molecular Biology. 1(1). 65–69. 62 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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