Carsten Kemena

2.0k total citations
20 papers, 963 citations indexed

About

Carsten Kemena is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Carsten Kemena has authored 20 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Spectroscopy. Recurrent topics in Carsten Kemena's work include Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (6 papers) and Advanced Proteomics Techniques and Applications (4 papers). Carsten Kemena is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), RNA and protein synthesis mechanisms (6 papers) and Advanced Proteomics Techniques and Applications (4 papers). Carsten Kemena collaborates with scholars based in Germany, Spain and United States. Carsten Kemena's co-authors include Cédric Notredame, Fyodor A. Kondrashov, Michael S. Breen, Peter K. Vlasov, Giovanni Bussotti, Erich Bornberg‐Bauer, Jia‐Ming Chang, Cedrik Magis, Ionas Erb and Maria Chatzou and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Carsten Kemena

20 papers receiving 948 citations

Author Peers

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

Author Last Decade Papers Cites
Carsten Kemena 658 371 134 121 81 20 963
Justin Reese 663 1.0× 410 1.1× 215 1.6× 138 1.1× 274 3.4× 44 1.3k
Elisabeth R.M. Tillier 1.2k 1.8× 472 1.3× 205 1.5× 55 0.5× 37 0.5× 35 1.4k
Arnaud Kerhornou 848 1.3× 398 1.1× 295 2.2× 37 0.3× 74 0.9× 9 1.4k
Matthieu Muffato 808 1.2× 370 1.0× 309 2.3× 71 0.6× 31 0.4× 15 1.2k
Benjamin Linard 520 0.8× 181 0.5× 88 0.7× 153 1.3× 89 1.1× 24 755
Natasha Glover 771 1.2× 282 0.8× 541 4.0× 134 1.1× 95 1.2× 37 1.3k
Anne‐Ruxandra Carvunis 1.6k 2.4× 344 0.9× 254 1.9× 50 0.4× 30 0.4× 35 1.9k
Wendy S W Wong 556 0.8× 271 0.7× 160 1.2× 98 0.8× 45 0.6× 9 868
Sasha F. Levy 1.4k 2.1× 795 2.1× 172 1.3× 63 0.5× 26 0.3× 34 1.8k

Countries citing papers authored by Carsten Kemena

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Kemena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Kemena

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

All Works

20 of 20 papers shown
1.
Bornberg‐Bauer, Erich, et al.. (2025). Tracing the paths of modular evolution by quantifying rearrangement events of protein domains. BMC Ecology and Evolution. 25(1). 6–6. 3 indexed citations
2.
Bornberg‐Bauer, Erich, et al.. (2022). Domain Evolution of Vertebrate Blood Coagulation Cascade Proteins. Journal of Molecular Evolution. 90(6). 418–428. 7 indexed citations
3.
Dohmen, Elias, et al.. (2020). The modular nature of protein evolution: domain rearrangement rates across eukaryotic life. BMC Evolutionary Biology. 20(1). 30–30. 36 indexed citations
4.
Kemena, Carsten, Elias Dohmen, & Erich Bornberg‐Bauer. (2019). DOGMA: a web server for proteome and transcriptome quality assessment. Nucleic Acids Research. 47(W1). W507–W510. 12 indexed citations
5.
Jongepier, Evelien, Carsten Kemena, Alberto Lopez‐Ezquerra, et al.. (2018). Remodeling of the juvenile hormone pathway through caste‐biased gene expression and positive selection along a gradient of termite eusociality. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 330(5). 296–304. 17 indexed citations
6.
Kemena, Carsten & Erich Bornberg‐Bauer. (2018). A Roadmap to Domain Based Proteomics. Methods in molecular biology. 1851. 287–300. 2 indexed citations
7.
Dohmen, Elias, Lukas P. M. Kremer, Erich Bornberg‐Bauer, & Carsten Kemena. (2016). DOGMA: domain-based transcriptome and proteome quality assessment. Bioinformatics. 32(17). 2577–2581. 28 indexed citations
8.
Smith, Chris R., Sara Helms Cahan, Carsten Kemena, et al.. (2015). How Do Genomes Create Novel Phenotypes? Insights from the Loss of the Worker Caste in Ant Social Parasites. Molecular Biology and Evolution. 32(11). 2919–2931. 31 indexed citations
9.
Kemena, Carsten, Tristan Bitard‐Feildel, & Erich Bornberg‐Bauer. (2015). MDAT- Aligning multiple domain arrangements. BMC Bioinformatics. 16(1). 19–19. 1 indexed citations
10.
Bitard‐Feildel, Tristan, Carsten Kemena, Jenny M. Greenwood, & Erich Bornberg‐Bauer. (2015). Domain similarity based orthology detection. BMC Bioinformatics. 16(1). 154–154. 10 indexed citations
11.
Chatzou, Maria, Cedrik Magis, Jia‐Ming Chang, et al.. (2015). Multiple sequence alignment modeling: methods and applications. Briefings in Bioinformatics. 17(6). 1009–1023. 126 indexed citations
12.
Tommaso, Paolo Di, Giovanni Bussotti, Carsten Kemena, et al.. (2014). SARA-Coffee web server, a tool for the computation of RNA sequence and structure multiple alignments. Nucleic Acids Research. 42(W1). W356–W360. 4 indexed citations
13.
Schrader, Lukas, Jay W. Kim, Daniel Ence, et al.. (2014). Transposable element islands facilitate adaptation to novel environments in an invasive species. Nature Communications. 5(1). 5495–5495. 145 indexed citations
14.
Breen, Michael S., Carsten Kemena, Peter K. Vlasov, Cédric Notredame, & Fyodor A. Kondrashov. (2013). Breen et al. reply. Nature. 497(7451). E2–E3. 5 indexed citations
15.
Kemena, Carsten, Giovanni Bussotti, Emidio Capriotti, Marc A. Martı́-Renom, & Cédric Notredame. (2013). Using tertiary structure for the computation of highly accurate multiple RNA alignments with the SARA-Coffee package. Bioinformatics. 29(9). 1112–1119. 15 indexed citations
16.
Breen, Michael S., Carsten Kemena, Peter K. Vlasov, Cédric Notredame, & Fyodor A. Kondrashov. (2012). Epistasis as the primary factor in molecular evolution. Nature. 490(7421). 535–538. 270 indexed citations
17.
Guirado, Fernando, et al.. (2012). Enhancing the Scalability of Consistency-based Progressive Multiple Sequences Alignment Applications. 4297. 71–82. 7 indexed citations
18.
Taly, Jean-François, Cedrik Magis, Giovanni Bussotti, et al.. (2011). Using the T-Coffee package to build multiple sequence alignments of protein, RNA, DNA sequences and 3D structures. Nature Protocols. 6(11). 1669–1682. 81 indexed citations
19.
Kemena, Carsten, Jean-François Taly, Jens Kleinjung, & Cédric Notredame. (2011). STRIKE: evaluation of protein MSAs using a single 3D structure. Bioinformatics. 27(24). 3385–3391. 20 indexed citations
20.
Kemena, Carsten & Cédric Notredame. (2009). Upcoming challenges for multiple sequence alignment methods in the high-throughput era. Bioinformatics. 25(19). 2455–2465. 143 indexed citations

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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