Roustem Saiakhov

26 papers receiving 549 citations

Peers

Roustem Saiakhov
Comparison fields: 5 of 91
  • Computational Theory and Mathematics 323
  • Chemical Health and Safety 9
  • Analytical Chemistry 92
  • Spectroscopy 123
  • Pharmacology 64
Replace Suman Chakravarti with:
Suman Chakravarti United States
Kevin P. Cross United States
Domenico Gadaleta Italy
Susanne Glowienke Switzerland
Alberto Manganaro Italy
Jay Russell Niemelä Denmark
Serena Manganelli Italy
Todor Pavlov Bulgaria
Claire M. Ellison United Kingdom
Krista L. Dobo United States
Roustem Saiakhov relative to Suman Chakravarti United States Suman Chakravarti's profile →
Citations per field
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Suman Chakravarti · 1×
Citations per year

Countries citing papers authored by Roustem Saiakhov

Since Specialization
Citations

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

Fields of papers citing papers by Roustem Saiakhov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roustem Saiakhov, 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 Roustem Saiakhov Line = papers co-authored together Roustem Saiakhov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002100
2 201383
3 201260
4 200051
5 201342
6 200433
7 199928
8 202026
9 200826
10 200322
11 200022
12 201921
13 200421
14 200117
15 201411
16 19988
17 20237
18 20187
19 20225
20 19953

About Roustem Saiakhov

Roustem Saiakhov is a scholar working on Computational Theory and Mathematics, Molecular Biology, Cancer Research, Pollution and Health, Toxicology and Mutagenesis, having authored 28 papers that have together received 602 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Carcinogens and Genotoxicity Assessment (5 papers), Analytical Chemistry and Chromatography (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Environmental Toxicology and Ecotoxicology (3 papers), Pharmacovigilance and Adverse Drug Reactions (2 papers), Chemistry and Chemical Engineering (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Computational Theory and Mathematics (323 citations), Chemical Health and Safety (9 citations), Analytical Chemistry (92 citations), Spectroscopy (123 citations) and Pharmacology (64 citations). Roustem Saiakhov has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Gilles Klopman, Suman Chakravarti, Hao Zhu, Marlene T. Kim, Alexander Sedykh, Herbert S. Rosenkranz, Julian Ivanov, Joop L. M. Hermens, Michael Fuller and Kevin P. Cross. Their work appears in journals such as Environmental Toxicology and Chemistry, Toxicology Letters, SAR and QSAR in environmental research, Regulatory Toxicology and Pharmacology and Tetrahedron Letters.

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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