Yana Koleva

33 total papers · 523 total citations
11 papers, 428 citations indexed

About

Yana Koleva is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Yana Koleva has authored 11 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Organic Chemistry and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Yana Koleva's work include Computational Drug Discovery Methods (6 papers), Free Radicals and Antioxidants (4 papers) and Chemistry and Chemical Engineering (3 papers). Yana Koleva is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Free Radicals and Antioxidants (4 papers) and Chemistry and Chemical Engineering (3 papers). Yana Koleva collaborates with scholars based in United Kingdom, United States and Bulgaria. Yana Koleva's co-authors include M Cronin, Judith C. Madden, Johannes Schwöbel, T.W. Schultz, Gerrit Schüürmann, Dominik Wondrousch, Steven J. Enoch, Mark Hewitt, David W. Roberts and Ovanes Mekenyan and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Environmental Toxicology and Chemistry.

In The Last Decade

Yana Koleva

11 papers receiving 417 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yana Koleva	150	146	131	99	47	11	428
Elena Fioravanzo	106 0.7×	107 0.7×	136 1.0×	82 0.8×	59 1.3×	31	433
S. A. Stalford	66 0.4×	156 1.1×	165 1.3×	95 1.0×	20 0.4×	14	387
Judith Duffy	215 1.4×	79 0.5×	115 0.9×	82 0.8×	21 0.4×	10	381
Serena Manganelli	260 1.7×	63 0.4×	95 0.7×	87 0.9×	28 0.6×	27	480
John Nicolette	92 0.6×	50 0.3×	152 1.2×	130 1.3×	29 0.6×	20	463
Charles M. Auer	223 1.5×	49 0.3×	58 0.4×	132 1.3×	25 0.5×	15	405
Claire M. Ellison	242 1.6×	42 0.3×	91 0.7×	157 1.6×	40 0.9×	14	464
Giovanna J. Lavado	221 1.5×	33 0.2×	80 0.6×	100 1.0×	52 1.1×	17	370
Michael C. Laufersweiler	83 0.6×	75 0.5×	129 1.0×	111 1.1×	30 0.6×	14	372
G Klopman	218 1.5×	64 0.4×	110 0.8×	113 1.1×	18 0.4×	18	433

Countries citing papers authored by Yana Koleva

Since Specialization

Citations

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

Fields of papers citing papers by Yana Koleva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yana Koleva

This figure shows the co-authorship network connecting the top 25 collaborators of Yana Koleva. A scholar is included among the top collaborators of Yana Koleva 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 Yana Koleva. Yana Koleva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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