Chavdar Slavov

78 total papers · 1.5k total citations
42 papers, 1.1k citations indexed

About

Chavdar Slavov is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Chavdar Slavov has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cellular and Molecular Neuroscience, 19 papers in Molecular Biology and 19 papers in Materials Chemistry. Recurrent topics in Chavdar Slavov's work include Photoreceptor and optogenetics research (27 papers), Photochromic and Fluorescence Chemistry (19 papers) and Photosynthetic Processes and Mechanisms (12 papers). Chavdar Slavov is often cited by papers focused on Photoreceptor and optogenetics research (27 papers), Photochromic and Fluorescence Chemistry (19 papers) and Photosynthetic Processes and Mechanisms (12 papers). Chavdar Slavov collaborates with scholars based in Germany, United States and Poland. Chavdar Slavov's co-authors include Josef Wachtveitl, Alfred R. Holzwarth, Hermann A. Wegner, Andreas Dreuw, Chong Yang, Marc G. Müller, Kevin Redding, Domenica Farci, Dario Piano and Michael Reus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Chavdar Slavov

40 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Chavdar Slavov 522 488 406 192 178 42 1.1k
Xunmin Guo 412 0.8× 324 0.7× 276 0.7× 190 1.0× 322 1.8× 21 894
June Southall 876 1.7× 368 0.8× 249 0.6× 583 3.0× 86 0.5× 31 1.2k
Ulrich Siggel 711 1.4× 252 0.5× 527 1.3× 214 1.1× 209 1.2× 42 1.2k
Chuang 创 Tan 谭 570 1.1× 491 1.0× 191 0.5× 142 0.7× 546 3.1× 23 1.0k
Klaus Teuchner 466 0.9× 175 0.4× 356 0.9× 374 1.9× 70 0.4× 54 1.1k
Johanna Brazard 277 0.5× 222 0.5× 265 0.7× 263 1.4× 174 1.0× 45 1.0k
Vladimir V. Shubin 648 1.2× 236 0.5× 183 0.5× 252 1.3× 108 0.6× 47 936
Giancarlo Agostini 610 1.2× 176 0.4× 387 1.0× 386 2.0× 78 0.4× 55 1.1k
Tamás Jávorfí 541 1.0× 139 0.3× 340 0.8× 209 1.1× 94 0.5× 40 1.1k
Shigeichi Kumazaki 447 0.9× 222 0.5× 137 0.3× 434 2.3× 70 0.4× 38 829

Countries citing papers authored by Chavdar Slavov

Since Specialization
Citations

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

Fields of papers citing papers by Chavdar Slavov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chavdar Slavov

This figure shows the co-authorship network connecting the top 25 collaborators of Chavdar Slavov. A scholar is included among the top collaborators of Chavdar Slavov 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 Chavdar Slavov. Chavdar Slavov 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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2026