Andrey Rzhetsky

19.9k total citations · 8 hit papers
135 papers, 12.7k citations indexed

About

Andrey Rzhetsky is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Andrey Rzhetsky has authored 135 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 29 papers in Genetics and 25 papers in Artificial Intelligence. Recurrent topics in Andrey Rzhetsky's work include Bioinformatics and Genomic Networks (33 papers), Biomedical Text Mining and Ontologies (32 papers) and Genomics and Phylogenetic Studies (20 papers). Andrey Rzhetsky is often cited by papers focused on Bioinformatics and Genomic Networks (33 papers), Biomedical Text Mining and Ontologies (32 papers) and Genomics and Phylogenetic Studies (20 papers). Andrey Rzhetsky collaborates with scholars based in United States, United Kingdom and Sweden. Andrey Rzhetsky's co-authors include Masatoshi Nei, M Nei, Rando Allikmets, Michael Dean, Pavel Morozov, Richard Axel, Naoko Takezaki, James A. Evans, Leslie B. Vosshall and Hubert Amrein and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Andrey Rzhetsky

133 papers receiving 12.3k citations

Hit Papers

The Human ATP-Binding Cassette (ABC) Transporter Superfamily 1992 2026 2003 2014 2001 1992 1999 1995 2001 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrey Rzhetsky United States 48 6.7k 2.4k 1.5k 1.5k 1.3k 135 12.7k
Michael P. Williamson United Kingdom 71 10.0k 1.5× 2.3k 0.9× 3.2k 2.1× 969 0.7× 481 0.4× 340 21.0k
Paul W. Sternberg United States 97 13.9k 2.1× 2.6k 1.1× 2.3k 1.5× 796 0.5× 447 0.3× 579 33.1k
Ron Milo Israel 71 18.7k 2.8× 2.9k 1.2× 677 0.4× 987 0.7× 822 0.6× 136 31.0k
Simon Tavaré United States 68 10.7k 1.6× 6.7k 2.8× 500 0.3× 1.8k 1.2× 1.7k 1.2× 220 21.3k
William R. Pearson United States 44 16.4k 2.5× 3.0k 1.3× 631 0.4× 862 0.6× 1.2k 0.9× 100 22.6k
Alejandro A. Schäffer United States 51 5.8k 0.9× 3.9k 1.6× 689 0.5× 977 0.7× 524 0.4× 226 14.7k
John D. Storey United States 40 15.2k 2.3× 5.5k 2.3× 594 0.4× 1.2k 0.8× 735 0.5× 83 26.0k
David T. Jones United Kingdom 79 27.1k 4.1× 3.6k 1.5× 1.7k 1.1× 1.2k 0.8× 794 0.6× 265 37.5k
Laurie Issel‐Tarver United States 9 22.2k 3.3× 4.1k 1.7× 795 0.5× 1.4k 0.9× 1.5k 1.1× 11 31.3k
Rolf Apweiler United Kingdom 48 19.0k 2.9× 2.8k 1.2× 579 0.4× 801 0.5× 798 0.6× 167 25.7k

Countries citing papers authored by Andrey Rzhetsky

Since Specialization
Citations

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

Fields of papers citing papers by Andrey Rzhetsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrey Rzhetsky

This figure shows the co-authorship network connecting the top 25 collaborators of Andrey Rzhetsky. A scholar is included among the top collaborators of Andrey Rzhetsky 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 Andrey Rzhetsky. Andrey Rzhetsky 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.
Li, Xinxiu, Joseph Loscalzo, A. K. M. Firoj Mahmud, et al.. (2025). Digital twins as global learning health and disease models for preventive and personalized medicine. Genome Medicine. 17(1). 11–11. 16 indexed citations
2.
Finnerty, Molly, Atif Ali Khan, Rui Wang, et al.. (2024). Prevalence and incidence measures for schizophrenia among commercial health insurance and medicaid enrollees. SHILAP Revista de lepidopterología. 10(1). 68–68. 1 indexed citations
3.
Li, Yu, Xue Zhong, Kanix Wang, et al.. (2023). The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science. 3(5). 403–417. 4 indexed citations
4.
Zhang, Hanxin, Atif Ali Khan, Steven A. Kushner, & Andrey Rzhetsky. (2022). Dissecting schizophrenia phenotypic variation: the contribution of genetic variation, environmental exposures, and gene–environment interactions. SHILAP Revista de lepidopterología. 8(1). 51–51. 4 indexed citations
5.
López‐Aranda, Manuel F., Ishanu Chattopadhyay, Gayle M. Boxx, et al.. (2021). Postnatal immune activation causes social deficits in a mouse model of tuberous sclerosis: Role of microglia and clinical implications. Science Advances. 7(38). eabf2073–eabf2073. 16 indexed citations
6.
Zhang, Hanxin, Torsten Dahlén, Atif Ali Khan, Gustaf Edgren, & Andrey Rzhetsky. (2020). Measurable health effects associated with the daylight saving time shift. PLoS Computational Biology. 16(6). e1007927–e1007927. 23 indexed citations
7.
Li, Yu, Hanxin Zhang, Ishanu Chattopadhyay, et al.. (2019). Estimating heritability and genetic correlations from large health datasets in the absence of genetic data. Nature Communications. 10(1). 5508–5508. 20 indexed citations
8.
Romero‐Calvo, Isabel, Christopher R. Weber, Mohana Ray, et al.. (2018). Human Organoids Share Structural and Genetic Features with Primary Pancreatic Adenocarcinoma Tumors. Molecular Cancer Research. 17(1). 70–83. 86 indexed citations
9.
Gao, Xin, et al.. (2018). RIDDLE: Race and ethnicity Imputation from Disease history with Deep LEarning. PLoS Computational Biology. 14(4). e1006106–e1006106. 21 indexed citations
10.
Chattopadhyay, Ishanu, Emre Kıcıman, Joshua W. Elliott, Jeffrey Shaman, & Andrey Rzhetsky. (2018). Conjunction of factors triggering waves of seasonal influenza. eLife. 7. 30 indexed citations
11.
Yao, Lixia, James A. Evans, & Andrey Rzhetsky. (2010). Novel opportunities for computational biology and sociology in drug discovery. Trends in biotechnology. 28(4). 161–170. 27 indexed citations
12.
Liu, Jiang, Murad Ghanim, Lei Xue, et al.. (2009). Analysis of Drosophila Segmentation Network Identifies a JNK Pathway Factor Overexpressed in Kidney Cancer. Science. 323(5918). 1218–1222. 98 indexed citations
13.
Rzhetsky, Andrey, Michael Seringhaus, & Mark Gerstein. (2008). Seeking a New Biology through Text Mining. Cell. 134(1). 9–13. 57 indexed citations
14.
Rzhetsky, Andrey, Ivan Iossifov, Ji Meng Loh, & K White. (2006). Microparadigms: Chains of collective reasoning in publications about molecular interactions. Proceedings of the National Academy of Sciences. 103(13). 4940–4945. 34 indexed citations
15.
Rodriguez‐Esteban, Raul, Ivan Iossifov, & Andrey Rzhetsky. (2006). Imitating Manual Curation of Text-Mined Facts in Biomedicine. PLoS Computational Biology. 2(9). e118–e118. 20 indexed citations
16.
Krauthammer, Michael, Charles A. Kaufmann, T. Conrad Gilliam, & Andrey Rzhetsky. (2004). Molecular triangulation: Bridging linkage and molecular-network information for identifying candidate genes in Alzheimer's disease. Proceedings of the National Academy of Sciences. 101(42). 15148–15153. 125 indexed citations
17.
Rzhetsky, Andrey, Ivan Iossifov, Michael Krauthammer, et al.. (2003). GeneWays: a system for extracting, analyzing, visualizing, and integrating molecular pathway data. Journal of Biomedical Informatics. 37(1). 43–53. 198 indexed citations
18.
Krauthammer, Michael, Pauline Kra, Ivan Iossifov, et al.. (2002). Of truth and pathways: chasing bits of information through myriads of articles. Bioinformatics. 18(suppl_1). S249–S257. 42 indexed citations
19.
Krauthammer, Michael, Andrey Rzhetsky, Pavel Morozov, & Carol Friedman. (2000). Using BLAST, A DNA and Protein Sequence Comparison Tool, for Finding Gene and Protein Names in Journal Articles. Europe PMC (PubMed Central).
20.
Mirkin, Boris, et al.. (1997). Mathematical Hierarchies and Biology. 53 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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