Leonid Chepelev

39 papers receiving 2.6k citations

Leonid Chepelev's Hit Papers

ClassyFire: automated chemical classification with a comprehensive, computable taxonomy 2016 · 1.0k citations
1.0k0+3+6Years since publication2505007501000

Peers

Leonid Chepelev
Comparison fields: 5 of 174
  • Health Informatics 30
  • Biochemistry 113
  • Computational Theory and Mathematics 257
  • Molecular Biology 844
  • Organic Chemistry 328
Replace Francesca Grisoni with:
Francesca Grisoni Italy
Warren Casey United States
Yuanyuan Zhang China
Hong‐Dong Li China
Xiaohui Fan China
Huimin Guo China
Anita Rácz Hungary
Leming Shi United States
Rohit Sharma India
David Allen United States
Leonid Chepelev relative to Francesca Grisoni Italy Francesca Grisoni's profile →
Citations per field
00.5×3.4×
Francesca Grisoni · 1×
Citations per year

Countries citing papers authored by Leonid Chepelev

Since Specialization
Citations

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

Fields of papers citing papers by Leonid Chepelev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leonid Chepelev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Leonid Chepelev Line = papers co-authored together Leonid Chepelev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ClassyFire: automated chemical classification with a comprehensive, computable taxonomy
Hit paper breakdown →
20161047
2 2018195
3 2018166
4 2003165
5 2014136
6 2008122
7 202192
8 201190
9 200572
10 200553
11 200444
12 200741
13 201339
14 202237
15 201534
16 202231
17 201726
18 201124
19 201124
20 202121

About Leonid Chepelev

Leonid Chepelev is a scholar working on Biomedical Engineering, Surgery, Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 39 papers that have together received 2.6k indexed citations. Recurring topics across this work include Anatomy and Medical Technology (14 papers), Free Radicals and Antioxidants (8 papers), Surgical Simulation and Training (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Advanced X-ray and CT Imaging (3 papers), Radiology practices and education (3 papers), Computational Drug Discovery Methods (3 papers) and Biomedical Text Mining and Ontologies (3 papers). The work is most often cited by research in Health Informatics (30 citations), Biochemistry (113 citations), Computational Theory and Mathematics (257 citations), Molecular Biology (844 citations) and Organic Chemistry (328 citations). Leonid Chepelev has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Janna Hastings, Christoph Steinbeck, James S. Wright, Russell Greiner, Eoin Fahy, Roman Eisner, Yannick Djoumbou-Feunang, David S. Wishart, Gareth Owen and Shankar Subramanian. Their work appears in journals such as Journal of Digital Imaging, Journal of Cheminformatics, Free Radical Biology and Medicine, BMC Bioinformatics and The Journal of Organic Chemistry.

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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