Lenka Bešše

122 total papers · 1.1k total citations
43 papers, 601 citations indexed

About

Lenka Bešše is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Lenka Bešše has authored 43 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 30 papers in Hematology and 10 papers in Oncology. Recurrent topics in Lenka Bešše's work include Multiple Myeloma Research and Treatments (28 papers), Ubiquitin and proteasome pathways (18 papers) and Protein Degradation and Inhibitors (11 papers). Lenka Bešše is often cited by papers focused on Multiple Myeloma Research and Treatments (28 papers), Ubiquitin and proteasome pathways (18 papers) and Protein Degradation and Inhibitors (11 papers). Lenka Bešše collaborates with scholars based in Switzerland, Czechia and Netherlands. Lenka Bešše's co-authors include Christoph Driessen, Andrej Bešše, Marianne Kraus, Jürgen Bader, Herman S. Overkleeft, Lenka Sedlaříková, Sabina Ševčı́ková, Roman Hájek, Elmer Maurits and Gerjan de Bruin and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Lenka Bešše

40 papers receiving 595 citations

Author Peers

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

Author Last Decade Papers Cites
Lenka Bešše 422 319 179 91 67 43 601
Xiangqin Weng 430 1.0× 218 0.7× 111 0.6× 95 1.0× 134 2.0× 38 652
Jan‐Henrik Mikesch 328 0.8× 194 0.6× 211 1.2× 76 0.8× 119 1.8× 54 677
Maximilian Merz 360 0.9× 319 1.0× 243 1.4× 60 0.7× 39 0.6× 53 660
Kerstin Maria Kampa-Schittenhelm 283 0.7× 155 0.5× 171 1.0× 55 0.6× 90 1.3× 30 516
Asuka Oda 351 0.8× 279 0.9× 308 1.7× 142 1.6× 119 1.8× 36 690
Boaz Nachmias 450 1.1× 132 0.4× 182 1.0× 87 1.0× 111 1.7× 57 691
Yoko Okitsu 319 0.8× 186 0.6× 198 1.1× 66 0.7× 95 1.4× 49 645
Ignazia Tusa 330 0.8× 101 0.3× 115 0.6× 114 1.3× 69 1.0× 30 589
Miho Nara 277 0.7× 144 0.5× 113 0.6× 194 2.1× 138 2.1× 30 614
Jumpei Teramachi 367 0.9× 108 0.3× 226 1.3× 90 1.0× 64 1.0× 44 616

Countries citing papers authored by Lenka Bešše

Since Specialization
Citations

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

Fields of papers citing papers by Lenka Bešše

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lenka Bešše

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