Kevin Klann

42 total papers · 2.8k total citations
29 papers, 1.7k citations indexed

About

Kevin Klann is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases. According to data from OpenAlex, Kevin Klann has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Infectious Diseases. Recurrent topics in Kevin Klann's work include RNA and protein synthesis mechanisms (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Kevin Klann is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). Kevin Klann collaborates with scholars based in Germany, United Kingdom and United States. Kevin Klann's co-authors include Christian Münch, Denisa Bojková, Jindřich Činátl, Sandra Ciesek, Benjamin Koch, Marek Widera, David Krause, Georg Tascher, Ulrike Friedrich and Frank Tippmann and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Kevin Klann

29 papers receiving 1.7k citations

Hit Papers

Proteomics of SARS-CoV-2-... 2020 2026 2022 2024 2020 2022 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kevin Klann 979 569 230 216 197 29 1.7k
Ji‐An Pan 1.0k 1.0× 791 1.4× 241 1.0× 276 1.3× 203 1.0× 52 2.4k
Mustafa Ulaşlı 612 0.6× 628 1.1× 162 0.7× 159 0.7× 299 1.5× 35 1.6k
Nidhi Sahni 1.3k 1.3× 610 1.1× 291 1.3× 134 0.6× 455 2.3× 62 2.0k
Haiyong Peng 1.1k 1.1× 639 1.1× 413 1.8× 246 1.1× 123 0.6× 47 2.1k
Heike Schneider 738 0.8× 1.0k 1.8× 247 1.1× 489 2.3× 293 1.5× 25 2.2k
Xuefei Gao 1.1k 1.1× 427 0.8× 139 0.6× 116 0.5× 156 0.8× 52 1.9k
Kirill Gorshkov 1.0k 1.1× 328 0.6× 466 2.0× 97 0.4× 124 0.6× 43 1.7k
Milana Frenkel‐Morgenstern 1.2k 1.2× 328 0.6× 302 1.3× 95 0.4× 73 0.4× 55 1.8k
Ilene M. Reardon 1.4k 1.4× 424 0.7× 147 0.6× 139 0.6× 71 0.4× 35 2.3k
Huabing Tan 769 0.8× 434 0.8× 377 1.6× 437 2.0× 217 1.1× 30 2.0k

Countries citing papers authored by Kevin Klann

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Klann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Klann

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