Leonid Zaslavsky

19.2k total citations · 6 hit papers
23 papers, 12.6k citations indexed

About

Leonid Zaslavsky is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leonid Zaslavsky has authored 23 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leonid Zaslavsky's work include Genomics and Phylogenetic Studies (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Computational Drug Discovery Methods (5 papers). Leonid Zaslavsky is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Computational Drug Discovery Methods (5 papers). Leonid Zaslavsky collaborates with scholars based in United States, Luxembourg and Netherlands. Leonid Zaslavsky's co-authors include Tatiana Tatusova, Tiejun Cheng, Evan Bolton, Qingliang Li, Paul Thiessen, Sunghwan Kim, Siqian He, Bo Yu, Asta Gindulytė and Jie Chen and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Leonid Zaslavsky

22 papers receiving 12.4k citations

Hit Papers

NCBI prokaryotic genome annotation pipeline 2007 2026 2013 2019 2016 2020 2018 2022 2007 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. NCBI prokaryotic genome annotation pipeline
    2016 4.6k citations Tatiana Tatusova, Michael DiCuccio et al. Nucleic Acids Research profile →
  2. PubChem in 2021: new data content and improved web interfaces
    2020 2.6k citations Sunghwan Kim, Jie Chen et al. Nucleic Acids Research profile →
  3. PubChem 2019 update: improved access to chemical data
    2018 2.3k citations Sunghwan Kim, Jie Chen et al. Nucleic Acids Research profile →
  4. PubChem 2023 update
    2022 1.8k citations Sunghwan Kim, Jie Chen et al. Nucleic Acids Research profile →
  5. The Influenza Virus Resource at the National Center for Biotechnology Information
    2007 795 citations Yīmíng Bào, Boris Kiryutin et al. profile →
  6. PubChem 2025 update
    2024 221 citations Sunghwan Kim, Jie Chen et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonid Zaslavsky United States 13 6.8k 2.3k 1.7k 1.5k 1.3k 23 12.6k
Mao Tanabe Japan 13 12.9k 1.9× 1.3k 0.6× 1.9k 1.1× 1.9k 1.3× 919 0.7× 31 19.7k
Miho Furumichi Japan 10 16.8k 2.5× 1.7k 0.7× 2.4k 1.4× 2.7k 1.8× 1.3k 1.0× 11 26.0k
Gabriel Studer Switzerland 17 9.5k 1.4× 977 0.4× 830 0.5× 2.0k 1.3× 1.1k 0.8× 22 15.2k
Eric D. Brown Canada 53 6.9k 1.0× 1.1k 0.5× 1.2k 0.7× 488 0.3× 760 0.6× 215 12.2k
Martino Bertoni Switzerland 11 8.4k 1.2× 904 0.4× 737 0.4× 1.8k 1.2× 955 0.7× 17 13.5k
Stefan Bienert Switzerland 9 8.7k 1.3× 814 0.4× 776 0.4× 1.9k 1.3× 1.0k 0.8× 12 14.1k
Ian D. Wilson United Kingdom 72 19.3k 2.9× 961 0.4× 933 0.5× 1.7k 1.1× 1.9k 1.5× 463 30.0k
Andrew Waterhouse Switzerland 14 13.9k 2.1× 947 0.4× 1.6k 0.9× 3.3k 2.2× 1.6k 1.2× 16 22.1k
Lorenza Bordoli Switzerland 20 15.3k 2.3× 1.3k 0.6× 1.3k 0.7× 3.2k 2.1× 1.6k 1.3× 23 24.1k
Stephen H. Bryant United States 55 14.1k 2.1× 4.9k 2.1× 1.2k 0.7× 2.4k 1.6× 751 0.6× 156 21.5k

Countries citing papers authored by Leonid Zaslavsky

Since Specialization
Citations

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

Fields of papers citing papers by Leonid Zaslavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonid Zaslavsky

This figure shows the co-authorship network connecting the top 25 collaborators of Leonid Zaslavsky. A scholar is included among the top collaborators of Leonid Zaslavsky 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 Leonid Zaslavsky. Leonid Zaslavsky 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, Qingliang, Sunghwan Kim, Leonid Zaslavsky, et al.. (2025). A resource description framework (RDF) model of named entity co-occurrences in biomedical literature and its integration with PubChemRDF. Journal of Cheminformatics. 17(1). 79–79. 1 indexed citations
2.
Mary, Arnaud, Carmen Venegas, Tiejun Cheng, et al.. (2024). Can Small Molecules Provide Clues on Disease Progression in Cerebrospinal Fluid from Mild Cognitive Impairment and Alzheimer’s Disease Patients?. Environmental Science & Technology. 58(9). 4181–4192. 8 indexed citations
3.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2024). PubChem 2025 update. Nucleic Acids Research. 53(D1). D1516–D1525. 221 indexed citations breakdown →
4.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2022). PubChem 2023 update. Nucleic Acids Research. 51(D1). D1373–D1380. 1787 indexed citations breakdown →
5.
Aho, Velma T. E., Randolph R. Singh, Tiejun Cheng, et al.. (2022). Studying the Parkinson’s disease metabolome and exposome in biological samples through different analytical and cheminformatics approaches: a pilot study. Analytical and Bioanalytical Chemistry. 414(25). 7399–7419. 18 indexed citations
6.
Zaslavsky, Leonid, Tiejun Cheng, Asta Gindulytė, et al.. (2021). Discovering and Summarizing Relationships Between Chemicals, Genes, Proteins, and Diseases in PubChem. SHILAP Revista de lepidopterología. 6. 689059–689059. 19 indexed citations
7.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2020). PubChem in 2021: new data content and improved web interfaces. Nucleic Acids Research. 49(D1). D1388–D1395. 2581 indexed citations breakdown →
8.
Kim, Sunghwan, Jie Chen, Tiejun Cheng, et al.. (2018). PubChem 2019 update: improved access to chemical data. Nucleic Acids Research. 47(D1). D1102–D1109. 2321 indexed citations breakdown →
9.
Tatusova, Tatiana, Michael DiCuccio, Azat Badretdin, et al.. (2016). NCBI prokaryotic genome annotation pipeline. Nucleic Acids Research. 44(14). 6614–6624. 4619 indexed citations breakdown →
10.
Zaslavsky, Leonid, Stacy Ciufo, Boris Fedorov, & Tatiana Tatusova. (2016). Clustering analysis of proteins from microbial genomes at multiple levels of resolution. BMC Bioinformatics. 17(S8). 276–276. 19 indexed citations
11.
Tatusova, Tatiana, Stacy Ciufo, Scott Federhen, et al.. (2014). Update on RefSeq microbial genomes resources. Nucleic Acids Research. 43(D1). D599–D605. 101 indexed citations
12.
Tatusova, Tatiana, Stacy Ciufo, Boris Fedorov, et al.. (2014). About Prokaryotic Genome Processing and Tools. 3 indexed citations
13.
Brister, J. Rodney, Yīmíng Bào, Vyacheslav Chetvernin, et al.. (2013). Virus Variation Resource—recent updates and future directions. Nucleic Acids Research. 42(D1). D660–D665. 37 indexed citations
14.
Resch, Wolfgang, et al.. (2009). Virus variation resources at the National Center for Biotechnology Information: dengue virus. BMC Microbiology. 9(1). 65–65. 26 indexed citations
15.
Zaslavsky, Leonid & Tatiana Tatusova. (2009). Mining the NCBI Influenza Sequence Database: adaptive grouping of BLAST results using precalculated neighbor indexing. PLoS Currents. 1. RRN1124–RRN1124. 4 indexed citations
16.
Zaslavsky, Leonid, Yīmíng Bào, & Tatiana Tatusova. (2008). Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale representation. BMC Bioinformatics. 9(1). 237–237. 17 indexed citations
17.
Zaslavsky, Leonid, Yīmíng Bào, & Tatiana Tatusova. (2007). Multiresolution approaches to representation and visualization of large influenza virus sequence datasets. 109–114. 1 indexed citations
18.
Brandt, Achi & Leonid Zaslavsky. (1997). Multiscale Algorithm for Atmospheric Data Assimilation. SIAM Journal on Scientific Computing. 18(3). 949–956. 8 indexed citations
19.
Brandt, Achi & Leonid Zaslavsky. (1995). Multiscale Algorithm for Atmospheric Data Assimilation Part I. Multiscale Iterative Process. 1 indexed citations
20.
Zaslavsky, Leonid. (1995). An Adaptive Algebraic Multigrid for Reactor Criticality Calculations. SIAM Journal on Scientific Computing. 16(4). 840–847. 6 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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