Leonid Chindelevitch

3.4k total citations · 1 hit paper
49 papers, 1.1k citations indexed

About

Leonid Chindelevitch is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Leonid Chindelevitch has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Infectious Diseases and 10 papers in Epidemiology. Recurrent topics in Leonid Chindelevitch's work include Genomics and Phylogenetic Studies (15 papers), Tuberculosis Research and Epidemiology (12 papers) and Bioinformatics and Genomic Networks (9 papers). Leonid Chindelevitch is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Tuberculosis Research and Epidemiology (12 papers) and Bioinformatics and Genomic Networks (9 papers). Leonid Chindelevitch collaborates with scholars based in United Kingdom, Canada and United States. Leonid Chindelevitch's co-authors include Sören Mindermann, Anna B. Stephenson, Tamay Besiroglu, Yee Whye Teh, Tomáš Gavenčiak, Jan Kulveit, Mrinank Sharma, Bonnie Berger, Hong Ge and George Altman and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Leonid Chindelevitch

46 papers receiving 1.1k citations

Hit Papers

Inferring the effectiveness of government interventions a... 2020 2026 2022 2024 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonid Chindelevitch United Kingdom 13 453 315 309 226 218 49 1.1k
Nathanaël Hozé France 16 482 1.1× 200 0.6× 525 1.7× 152 0.7× 132 0.6× 33 1.3k
Ann Barber United States 25 515 1.1× 302 1.0× 518 1.7× 156 0.7× 132 0.6× 50 2.1k
Dewi Megawati Indonesia 10 173 0.4× 176 0.6× 570 1.8× 129 0.6× 126 0.6× 24 1.3k
Sudipta Bhat India 9 227 0.5× 141 0.4× 943 3.1× 100 0.4× 132 0.6× 14 1.7k
Oliver J. Watson United Kingdom 20 524 1.2× 197 0.6× 836 2.7× 173 0.8× 163 0.7× 50 1.9k
Unyeong Go South Korea 10 216 0.5× 104 0.3× 558 1.8× 322 1.4× 102 0.5× 24 1.1k
Sang Woo Park United States 20 651 1.4× 154 0.5× 523 1.7× 499 2.2× 139 0.6× 78 1.7k
Abdullah Algaissi Saudi Arabia 17 168 0.4× 309 1.0× 1.3k 4.2× 201 0.9× 81 0.4× 45 1.8k
Cleo Anastassopoulou Greece 22 593 1.3× 160 0.5× 897 2.9× 340 1.5× 224 1.0× 71 1.8k

Countries citing papers authored by Leonid Chindelevitch

Since Specialization
Citations

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

Fields of papers citing papers by Leonid Chindelevitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonid Chindelevitch

This figure shows the co-authorship network connecting the top 25 collaborators of Leonid Chindelevitch. A scholar is included among the top collaborators of Leonid Chindelevitch 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 Chindelevitch. Leonid Chindelevitch 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.
Derelle, Romain, Kieran Madon, Joel Hellewell, et al.. (2025). Reference-Free Variant Calling with Local Graph Construction with ska lo (SKA). Molecular Biology and Evolution. 42(4). 1 indexed citations
2.
Laurent, Sacha, Paolo Miotto, A Sarah Walker, et al.. (2025). Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis. Nature Communications. 16(1). 2149–2149. 1 indexed citations
3.
Mitsakakis, Konstantinos, et al.. (2025). Antimicrobial resistance in Campylobacter spp. focussing on C. jejuni and C. coli – A narrative review. Journal of Global Antimicrobial Resistance. 43. 372–389. 2 indexed citations
4.
Meidânis, João, et al.. (2023). Counting Sorting Scenarios and Intermediate Genomes for the Rank Distance. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(3). 316–327.
5.
Derelle, Romain, John A. Lees, Jody Phelan, et al.. (2023). fastlin: an ultra-fast program for Mycobacterium tuberculosis complex lineage typing. Bioinformatics. 39(11). 3 indexed citations
6.
Chindelevitch, Leonid, et al.. (2023). Supply-driven evolution: Mutation bias and trait-fitness distributions can drive macro-evolutionary dynamics. Frontiers in Ecology and Evolution. 10. 1 indexed citations
7.
Chindelevitch, Leonid, et al.. (2022). Aristotle: stratified causal discovery for omics data. BMC Bioinformatics. 23(1). 42–42. 2 indexed citations
8.
Comas, Iñaki, et al.. (2021). SplitStrains, a tool to identify and separate mixed Mycobacterium tuberculosis infections from WGS data. Microbial Genomics. 7(6). 13 indexed citations
9.
Dexter, Nick, et al.. (2021). INGOT-DR: an interpretable classifier for predicting drug resistance in M. tuberculosis. Algorithms for Molecular Biology. 16(1). 17–17. 7 indexed citations
10.
Brauner, Jan, Sören Mindermann, Mrinank Sharma, et al.. (2020). Inferring the effectiveness of government interventions against COVID-19. Science. 371(6531). 630 indexed citations breakdown →
11.
Chindelevitch, Leonid, et al.. (2019). MCS2: minimal coordinated supports for fast enumeration of minimal cut sets in metabolic networks. Bioinformatics. 35(14). i615–i623. 5 indexed citations
12.
Feijão, Pedro, Daniel Fornika, Jennifer L. Gardy, et al.. (2018). MentaLiST – A fast MLST caller for large MLST schemes. Microbial Genomics. 4(2). 36 indexed citations
13.
Santillana, Mauricio, Ashleigh R. Tuite, Tahmina Nasserie, et al.. (2018). Relatedness of the incidence decay with exponential adjustment (IDEA) model, “Farr's law” and SIR compartmental difference equation models. Infectious Disease Modelling. 3. 1–12. 11 indexed citations
14.
Chindelevitch, Leonid, et al.. (2018). On the rank-distance median of 3 permutations. BMC Bioinformatics. 19(S6). 142–142. 3 indexed citations
15.
Thain, Nithum, Aldo Crossa, Shama D. Ahuja, et al.. (2018). Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data. Infection Genetics and Evolution. 72. 59–66. 7 indexed citations
16.
Chindelevitch, Leonid, Nicolas A. Menzies, Carel Pretorius, et al.. (2015). Evaluating the potential impact of enhancing HIV treatment and tuberculosis control programmes on the burden of tuberculosis. Journal of The Royal Society Interface. 12(106). 20150146–20150146. 8 indexed citations
17.
Pretorius, Carel, Nicolas A. Menzies, Leonid Chindelevitch, et al.. (2014). The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa. AIDS. 28(Supplement 1). S25–S34. 34 indexed citations
18.
Chindelevitch, Leonid, Chengyu Ma, Chung-Shou Liao, & Bonnie Berger. (2013). Optimizing a global alignment of protein interaction networks. Bioinformatics. 29(21). 2765–2773. 42 indexed citations
19.
Chindelevitch, Leonid, Daniel Ziemek, Ahmed Enayetallah, et al.. (2012). Causal reasoning on biological networks: interpreting transcriptional changes. Bioinformatics. 28(8). 1114–1121. 104 indexed citations
20.
Chindelevitch, Leonid, Po‐Ru Loh, Ahmed Enayetallah, Bonnie Berger, & Daniel Ziemek. (2012). Assessing statistical significance in causal graphs. SHILAP Revista de lepidopterología. 8 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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