Alexander Sedykh

3.2k total citations
51 papers, 2.3k citations indexed

About

Alexander Sedykh is a scholar working on Computational Theory and Mathematics, Molecular Biology and Small Animals. According to data from OpenAlex, Alexander Sedykh has authored 51 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computational Theory and Mathematics, 22 papers in Molecular Biology and 9 papers in Small Animals. Recurrent topics in Alexander Sedykh's work include Computational Drug Discovery Methods (35 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Animal testing and alternatives (9 papers). Alexander Sedykh is often cited by papers focused on Computational Drug Discovery Methods (35 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Animal testing and alternatives (9 papers). Alexander Sedykh collaborates with scholars based in United States, China and Netherlands. Alexander Sedykh's co-authors include Hao Zhu, Alexander Tropsha, Marlene T. Kim, Ivan Rusyn, Denis Fourches, Bing Yan, Yen Low, Xiliang Yan, Wenyi Wang and Lin Ye and has published in prestigious journals such as Nature Communications, ACS Nano and PLoS ONE.

In The Last Decade

Alexander Sedykh

46 papers receiving 2.3k citations

Peers

Alexander Sedykh

CTM

HTM

Chihae Yang United States

Judith C. Madden United Kingdom

Srilatha Sakamuru United States

Steven J. Enoch United Kingdom

Nina Jeliazkova United Kingdom

Nigel Greene United States

Cecilia Bossa Italy

Thomas Steger‐Hartmann Germany

V. Е. Kuz’min Ukraine

Lothar Terfloth Germany

Chihae Yang United States

Alexander Sedykh

1.9k ×1.5

CTM

1.2k ×1.5

490 ×1.2

653 ×1.6

HTM

400 ×1.3

Citations per year, relative to Alexander Sedykh Alexander Sedykh (= 1×) peers Chihae Yang

Countries citing papers authored by Alexander Sedykh

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Sedykh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Sedykh

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

All Works

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20 of 20 papers shown

Gombar, Vijay K., Alexander Sedykh, Adrian J. Green, et al.. (2025). OrbiTox: a visualization platform for NAMs and read-across exploration of multi-domain data. Frontiers in Pharmacology. 16. 1710864–1710864.

Zhou, Yi‐Hui, Fred A. Wright, Alexander Sedykh, et al.. (2024). Hazard and risk characterization of 56 structurally diverse PFAS using a targeted battery of broad coverage assays using six human cell types. Toxicology. 503. 153763–153763. 8 indexed citations

Zhou, Yi‐Hui, Fred A. Wright, Vijay K. Gombar, et al.. (2024). Characterizing PFAS hazards and risks: a human population-based in vitro cardiotoxicity assessment strategy. Human Genomics. 18(1). 92–92. 6 indexed citations

Kruhlak, Naomi L., et al.. (2020). Development of improved QSAR models for predicting the outcome of the in vivo micronucleus genetic toxicity assay. Regulatory Toxicology and Pharmacology. 113. 104620–104620. 12 indexed citations

Yan, Xiliang, Alexander Sedykh, Wenyi Wang, Bing Yan, & Hao Zhu. (2020). Construction of a web-based nanomaterial database by big data curation and modeling friendly nanostructure annotations. Nature Communications. 11(1). 2519–2519. 100 indexed citations

Liu, Guohong, Xiliang Yan, Alexander Sedykh, et al.. (2020). Analysis of model PM2.5-induced inflammation and cytotoxicity by the combination of a virtual carbon nanoparticle library and computational modeling. Ecotoxicology and Environmental Safety. 191. 110216–110216. 25 indexed citations

Hubbard, Troy D., Jui‐Hua Hsieh, Cynthia V. Rider, et al.. (2019). Using Tox21 High-Throughput Screening Assays for the Evaluation of Botanical and Dietary Supplements. PubMed. 5(1). 10–25. 11 indexed citations

Wang, Wenyi, Xiliang Yan, Linlin Zhao, et al.. (2019). Universal nanohydrophobicity predictions using virtual nanoparticle library. Journal of Cheminformatics. 11(1). 6–6. 19 indexed citations

Sedykh, Alexander, et al.. (2018). Predicting Adverse Drug Effects from Literature- and Database-Mined Assertions. Drug Safety. 41(11). 1059–1072. 3 indexed citations

10.

Hsieh, Jui‐Hua, Ruili Huang, Alexander Sedykh, et al.. (2017). Real-time cell toxicity profiling of Tox21 10K compounds reveals cytotoxicity dependent toxicity pathway linkage. PLoS ONE. 12(5). e0177902–e0177902. 30 indexed citations

11.

Hsieh, Jui‐Hua, Alexander Sedykh, Ruili Huang, Menghang Xia, & Raymond R. Tice. (2015). A Data Analysis Pipeline Accounting for Artifacts in Tox21 Quantitative High-Throughput Screening Assays. SLAS DISCOVERY. 20(7). 887–897. 53 indexed citations

12.

Kim, Marlene T., Ruili Huang, Alexander Sedykh, et al.. (2015). Mechanism Profiling of Hepatotoxicity Caused by Oxidative Stress Using Antioxidant Response Element Reporter Gene Assay Models and Big Data. Environmental Health Perspectives. 124(5). 634–641. 55 indexed citations

13.

Thompson, Corbin G., Alexander Sedykh, Melanie R. Nicol, et al.. (2014). Short Communication: Cheminformatics Analysis to Identify Predictors of Antiviral Drug Penetration into the Female Genital Tract. AIDS Research and Human Retroviruses. 30(11). 1058–1064. 12 indexed citations

14.

Shi, Qian, Marlene T. Kim, Liying Zhang, et al.. (2014). Design, synthesis and experimental validation of novel potential chemopreventive agents using random forest and support vector machine binary classifiers. Journal of Computer-Aided Molecular Design. 28(6). 631–646. 21 indexed citations

15.

Zhu, Xiang‐Wei, Alexander Sedykh, Hao Zhu, Shu‐Shen Liu, & Alexander Tropsha. (2013). The Use of Pseudo-Equilibrium Constant Affords Improved QSAR Models of Human Plasma Protein Binding. Pharmaceutical Research. 30(7). 1790–1798. 44 indexed citations

16.

Kim, Marlene T., Alexander Sedykh, Suman Chakravarti, Roustem Saiakhov, & Hao Zhu. (2013). Critical Evaluation of Human Oral Bioavailability for Pharmaceutical Drugs by Using Various Cheminformatics Approaches. Pharmaceutical Research. 31(4). 1002–1014. 83 indexed citations

17.

Yang, Kyunghee, Kathleen Köck, Alexander Sedykh, Alexander Tropsha, & Kim L. R. Brouwer. (2013). An updated review on drug-induced cholestasis: Mechanisms and investigation of physicochemical properties and pharmacokinetic parameters. Journal of Pharmaceutical Sciences. 102(9). 3037–3057. 84 indexed citations

18.

Rusyn, Ivan, Alexander Sedykh, Yen Low, Kathryn Z. Guyton, & Alexander Tropsha. (2012). Predictive Modeling of Chemical Hazard by Integrating Numerical Descriptors of Chemical Structures and Short-term Toxicity Assay Data. Toxicological Sciences. 127(1). 1–9. 52 indexed citations

19.

Sedykh, Alexander, Denis Fourches, Jianmin Duan, et al.. (2012). Human Intestinal Transporter Database: QSAR Modeling and Virtual Profiling of Drug Uptake, Efflux and Interactions. Pharmaceutical Research. 30(4). 996–1007. 68 indexed citations

20.

Sedykh, Alexander, Hao Zhu, Hao Tang, et al.. (2010). Use of in Vitro HTS-Derived Concentration–Response Data as Biological Descriptors Improves the Accuracy of QSAR Models of in Vivo Toxicity. Environmental Health Perspectives. 119(3). 364–370. 82 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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