Leonid Zaslavsky
- Molecular Biology top 0.5%
- Computational Theory and Mathematics top 0.1%
- Ecology top 1%
- Plant Science top 1%
- Epidemiology top 2%
- Co-authors
- Tatiana TatusovaTiejun ChengEvan BoltonAsta GindulytėSiqian HeSunghwan KimBo YuPaul Thiessen
- Topics
- Genomics and Phylogenetic Studies (7 papers)Metabolomics and Mass Spectrometry Studies (5 papers)Computational Drug Discovery Methods (5 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaEnvironmental Science & Technology
- Partner nations
- United StatesLuxembourgNetherlands
In The Last Decade
Leonid Zaslavsky
22 papers receiving 12.4k citations
Hit Papers
Peers
Comparison fields: 5 of 198
- Molecular Biology 6.8k
- Computational Theory and Mathematics 2.3k
- Ecology 1.7k
- Plant Science 1.5k
- Epidemiology 1.3k
Countries citing papers authored by Leonid Zaslavsky
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | PubChem 2025 updatebreakdown → | 221 |
| 3 | 8 | |
| 4 | PubChem 2023 updatebreakdown → | 1787 |
| 5 | 18 | |
| 6 | 19 | |
| 7 | PubChem in 2021: new data content and improved web interfacesbreakdown → | 2581 |
| 8 | PubChem 2019 update: improved access to chemical databreakdown → | 2321 |
| 9 | 19 | |
| 10 | NCBI prokaryotic genome annotation pipelinebreakdown → | 4619 |
| 11 | 101 | |
| 12 | 37 | |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 17 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 8 | |
| 19 | 6 | |
| 20 | Multiscale Algorithm for Atmospheric Data Assimilation Part I. Multiscale Iterative Process | 1 |
About Leonid Zaslavsky
Leonid Zaslavsky is a scholar working on Computational Theory and Mathematics, Molecular Biology and Endocrinology, having authored 23 papers that have together received 12.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Computational Theory and Mathematics (2.3k citations), Endocrinology (592 citations) and Molecular Medicine (561 citations). Leonid Zaslavsky has collaborated with scholars based in United States, Luxembourg and Netherlands. Frequent co-authors include Tatiana Tatusova, Tiejun Cheng, Evan Bolton, Asta Gindulytė, Siqian He, Sunghwan Kim, Bo Yu, Paul Thiessen, Qingliang Li and Jian Zhang. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.