Eva Kummer

1.7k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Eva Kummer is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Eva Kummer has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Eva Kummer's work include RNA modifications and cancer (7 papers), RNA and protein synthesis mechanisms (7 papers) and Computational Drug Discovery Methods (5 papers). Eva Kummer is often cited by papers focused on RNA modifications and cancer (7 papers), RNA and protein synthesis mechanisms (7 papers) and Computational Drug Discovery Methods (5 papers). Eva Kummer collaborates with scholars based in Switzerland, Germany and France. Eva Kummer's co-authors include Nenad Ban, Bernd Bukau, Axel Mogk, Yuki Oguchi, Regina Zahn, Victor Sourjik, Marc Leibundgut, Richard G. Lee, Oliver Rackham and Mohit Kumar and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Eva Kummer

20 papers receiving 1.2k citations

Hit Papers

Mechanisms and regulation of protein synthesis in mitocho... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Kummer Switzerland 15 941 173 161 143 104 20 1.2k
Kausik Chakraborty India 19 810 0.9× 78 0.5× 227 1.4× 188 1.3× 100 1.0× 32 1.1k
Chi-Hao Luan United States 18 606 0.6× 162 0.9× 65 0.4× 81 0.6× 63 0.6× 29 1.1k
Qinglian Liu United States 21 1.8k 1.9× 60 0.3× 290 1.8× 328 2.3× 70 0.7× 55 2.1k
Human Rezaei France 23 1.5k 1.6× 66 0.4× 149 0.9× 77 0.5× 45 0.4× 62 1.8k
Melanie Schwarten Germany 19 647 0.7× 60 0.3× 83 0.5× 172 1.2× 30 0.3× 37 1.0k
Cesira de Chiara United Kingdom 17 630 0.7× 55 0.3× 99 0.6× 56 0.4× 101 1.0× 29 761
Junsang Ko South Korea 9 400 0.4× 36 0.2× 97 0.6× 66 0.5× 125 1.2× 14 620
Dean J. Naylor Australia 16 1.4k 1.5× 51 0.3× 460 2.9× 270 1.9× 126 1.2× 17 1.6k
Valerie L. Sim Canada 20 1.6k 1.7× 62 0.4× 85 0.5× 153 1.1× 46 0.4× 51 2.0k
Marie‐France Giraud France 25 1.6k 1.7× 73 0.4× 300 1.9× 58 0.4× 108 1.0× 53 2.0k

Countries citing papers authored by Eva Kummer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Kummer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Kummer

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Kummer. A scholar is included among the top collaborators of Eva Kummer 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 Eva Kummer. Eva Kummer 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.
Leibundgut, Marc, Alain Scaiola, Richard G. Lee, et al.. (2023). Molecular basis of translation termination at noncanonical stop codons in human mitochondria. Science. 380(6644). 531–536. 20 indexed citations
2.
Kummer, Eva, et al.. (2023). Structural insights into the role of GTPBP10 in the RNA maturation of the mitoribosome. Nature Communications. 14(1). 7991–7991. 6 indexed citations
3.
Kummer, Eva & Nenad Ban. (2021). Mechanisms and regulation of protein synthesis in mitochondria. Nature Reviews Molecular Cell Biology. 22(5). 307–325. 223 indexed citations breakdown →
4.
Kummer, Eva, et al.. (2021). Transcriptional control of mycobacterial DNA damage response by sigma adaptation. Science Advances. 7(49). eabl4064–eabl4064. 14 indexed citations
5.
Kummer, Eva, et al.. (2021). Structural basis of translation termination, rescue, and recycling in mammalian mitochondria. Molecular Cell. 81(12). 2566–2582.e6. 38 indexed citations
6.
Kummer, Eva & Nenad Ban. (2020). Structural insights into mammalian mitochondrial translation elongation catalyzed by mt EFG 1. The EMBO Journal. 39(15). e104820–e104820. 28 indexed citations
7.
Kummer, Eva, Marc Leibundgut, Oliver Rackham, et al.. (2018). Unique features of mammalian mitochondrial translation initiation revealed by cryo-EM. Nature. 560(7717). 263–267. 94 indexed citations
8.
Kummer, Eva & Nenad Ban. (2018). Conformational Switching of the Nuclear Exosome during Ribosome Biogenesis. Biochemistry. 57(32). 4765–4766. 3 indexed citations
9.
Kummer, Eva, et al.. (2016). Bacterial and Yeast AAA + Disaggregases ClpB and Hsp104 Operate through Conserved Mechanism Involving Cooperation with Hsp70. Journal of Molecular Biology. 428(21). 4378–4391. 19 indexed citations
10.
Mogk, Axel, Eva Kummer, & Bernd Bukau. (2015). Cooperation of Hsp70 and Hsp100 chaperone machines in protein disaggregation. Frontiers in Molecular Biosciences. 2. 22–22. 129 indexed citations
11.
Carroni, Marta, Eva Kummer, Yuki Oguchi, et al.. (2014). Head-to-tail interactions of the coiled-coil domains regulate ClpB activity and cooperation with Hsp70 in protein disaggregation. eLife. 3. e02481–e02481. 108 indexed citations
12.
Vuille‐dit‐Bille, Raphael N., Simone M. R. Camargo, Tom Sasse, et al.. (2014). Human intestine luminal ACE2 and amino acid transporter expression increased by ACE-inhibitors. Amino Acids. 47(4). 693–705. 222 indexed citations
13.
Kummer, Eva, et al.. (2013). Mechanism of Hsp104/ClpB inhibition by prion curing Guanidinium hydrochloride. FEBS Letters. 587(6). 810–817. 20 indexed citations
14.
Kummer, Eva, Yuki Oguchi, Juliane Winkler, et al.. (2012). Hsp70 proteins bind Hsp100 regulatory M domains to activate AAA+ disaggregase at aggregate surfaces. Nature Structural & Molecular Biology. 19(12). 1347–1355. 138 indexed citations
15.
Oguchi, Yuki, Eva Kummer, Regina Zahn, et al.. (2012). A tightly regulated molecular toggle controls AAA+ disaggregase. Nature Structural & Molecular Biology. 19(12). 1338–1346. 114 indexed citations
16.
Carrer, Dolores C., Eva Kummer, Grzegorz Chwastek, Salvatore Chiantia, & Petra Schwille. (2009). Asymmetry determines the effects of natural ceramides on model membranes. Soft Matter. 5(17). 3279–3279. 20 indexed citations
18.
LANGLOIS, M., et al.. (1994). Determination of a PAF antagonist pharmacophore using combined Molecular Electrostatic Potential and Molecular Lipophilicity Potential.. PubMed. 12(2). 149–67. 4 indexed citations
19.
Laguerre, Michel S., et al.. (1994). Molecular modeling of 5-HT3 receptor antagonists: geometrical, electronic and lipophilic features of the pharmacophore and 3D-QSAR study.. PubMed. 11(3). 205–22. 6 indexed citations
20.
Convard, Thierry, et al.. (1994). SmilogP: A Program for a Fast Evaluation of Theoretical Log P from the Smiles Code of a Molecule. Quantitative Structure-Activity Relationships. 13(1). 34–37. 24 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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