S. Dimitrov

2.6k citations
58 papers · 2.0k · h-index 25

Impact in

Papers in

S. Dimitrov

58 papers receiving 1.9k citations

Peers

S. Dimitrov
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 713
  • Chemical Health and Safety 34
  • Computational Theory and Mathematics 778
  • Pollution 417
  • Environmental Chemistry 318
Replace Steven J. Enoch with:
Steven J. Enoch United Kingdom
Tatiana I. Netzeva United Kingdom
Aynur O. Aptula United Kingdom
Alessandra Roncaglioni Italy
Thomas Steger‐Hartmann Germany
Ovanes Mekenyan Bulgaria
Mike Comber United Kingdom
Manuela Pavan Italy
Cecilia Bossa Italy
Johannes J.M. van de Sandt Netherlands
S. Dimitrov relative to Steven J. Enoch United Kingdom Steven J. Enoch's profile →
Citations per field
00.5×1.5×1.8×
Steven J. Enoch · 1×
Citations per year

Countries citing papers authored by S. Dimitrov

Since Specialization
Citations

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

Fields of papers citing papers by S. Dimitrov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005226
2 2016179
3 2005100
4 200487
5 200282
6 200781
7 200279
8 200574
9 200966
10 200463
11 201155
12 200350
13 200450
14 200748
15 200748
16 200445
17 200344
18 200243
19 201336
20 201234

About S. Dimitrov

S. Dimitrov is a scholar working on Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Molecular Biology, Pollution and Environmental Chemistry, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (26 papers), Environmental Toxicology and Ecotoxicology (11 papers), Toxic Organic Pollutants Impact (11 papers), Analytical Chemistry and Chromatography (8 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Chemistry and Chemical Engineering (6 papers), Pesticide and Herbicide Environmental Studies (6 papers) and Pharmaceutical and Antibiotic Environmental Impacts (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (713 citations), Chemical Health and Safety (34 citations), Computational Theory and Mathematics (778 citations), Pollution (417 citations) and Environmental Chemistry (318 citations). S. Dimitrov has collaborated with scholars based in Bulgaria, United States and Canada. Frequent co-authors include Ovanes Mekenyan, John D. Walker, Nadezhda Dimitrova, Todor Pavlov, Gergana Dimitrova, Grace Patlewicz, Gilman D. Veith, Jay Russell Niemelä, Mark Bonnell and Mike Comber. Their work appears in journals such as SAR and QSAR in environmental research, Computers & Chemical Engineering, Regulatory Toxicology and Pharmacology, Chemical Research in Toxicology and Environmental Toxicology and 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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