Gergana Dobreva

91 total papers · 4.2k total citations
51 papers, 2.7k citations indexed

About

Gergana Dobreva is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Gergana Dobreva has authored 51 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 5 papers in Genetics. Recurrent topics in Gergana Dobreva's work include Congenital heart defects research (14 papers), Genomics and Chromatin Dynamics (11 papers) and RNA Research and Splicing (10 papers). Gergana Dobreva is often cited by papers focused on Congenital heart defects research (14 papers), Genomics and Chromatin Dynamics (11 papers) and RNA Research and Splicing (10 papers). Gergana Dobreva collaborates with scholars based in Germany, United States and France. Gergana Dobreva's co-authors include Rudolf Grosschedl, Isabel Fariñas, Marcel Dautzenberg, Laura Chirivella, Susan K. McConnell, Julia Dambacher, Elizabeth Alcamo, Gérard Karsenty, Maria H. Chahrour and Benoı̂t Kanzler and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gergana Dobreva

48 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Gergana Dobreva 1.9k 399 357 334 332 51 2.7k
Jie Bu 1.3k 0.7× 330 0.8× 311 0.9× 322 1.0× 346 1.0× 47 2.4k
Dejan Lazarević 1.9k 1.0× 313 0.8× 319 0.9× 465 1.4× 216 0.7× 65 2.7k
Seunghee Lee 2.4k 1.3× 410 1.0× 576 1.6× 223 0.7× 289 0.9× 46 2.9k
Toomas Neuman 1.3k 0.7× 415 1.0× 212 0.6× 376 1.1× 283 0.9× 75 2.1k
Yu Katsuyama 1.6k 0.8× 338 0.8× 267 0.7× 348 1.0× 275 0.8× 51 2.2k
Emma Andersson 1.7k 0.9× 276 0.7× 293 0.8× 293 0.9× 159 0.5× 61 2.6k
Jae W. Lee 1.8k 1.0× 365 0.9× 559 1.6× 225 0.7× 294 0.9× 44 2.4k
Daniel J. Hoeppner 1.8k 0.9× 209 0.5× 293 0.8× 236 0.7× 392 1.2× 25 2.6k
Melissa C. Colbert 1.8k 1.0× 295 0.7× 169 0.5× 258 0.8× 231 0.7× 33 2.8k
Robert Y. L. Tsai 1.9k 1.0× 219 0.5× 282 0.8× 283 0.8× 202 0.6× 65 2.9k

Countries citing papers authored by Gergana Dobreva

Since Specialization
Citations

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

Fields of papers citing papers by Gergana Dobreva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gergana Dobreva

This figure shows the co-authorship network connecting the top 25 collaborators of Gergana Dobreva. A scholar is included among the top collaborators of Gergana Dobreva 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 Gergana Dobreva. Gergana Dobreva 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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