Markus R. Eisele

1.1k total citations
8 papers, 722 citations indexed

About

Markus R. Eisele is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Markus R. Eisele has authored 8 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Markus R. Eisele's work include Peptidase Inhibition and Analysis (3 papers), Ubiquitin and proteasome pathways (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Markus R. Eisele is often cited by papers focused on Peptidase Inhibition and Analysis (3 papers), Ubiquitin and proteasome pathways (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Markus R. Eisele collaborates with scholars based in Germany, United States and Netherlands. Markus R. Eisele's co-authors include Qiong Xue, Yao Lu, Rong Fan, Kathryn Miller‐Jensen, Endah S. Sulistijo, Wolfgang Baumeister, Lin Han, El-ad David Amir, Dana Pe’er and Chenguang Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Analytical Chemistry.

In The Last Decade

Markus R. Eisele

8 papers receiving 713 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus R. Eisele Germany 7 507 133 133 109 99 8 722
Tim Conze Sweden 10 667 1.3× 140 1.1× 72 0.5× 122 1.1× 102 1.0× 11 852
Edith Schallmeiner Sweden 12 745 1.5× 130 1.0× 246 1.8× 43 0.4× 48 0.5× 13 955
Antti Rivinoja Finland 10 405 0.8× 142 1.1× 68 0.5× 80 0.7× 50 0.5× 12 577
Veerle De Corte Belgium 16 634 1.3× 486 3.7× 56 0.4× 73 0.7× 108 1.1× 24 1.0k
Skylar Martin‐Brown United States 14 1.5k 2.9× 120 0.9× 27 0.2× 128 1.2× 139 1.4× 16 1.7k
Marlene Oeffinger Canada 24 1.9k 3.8× 159 1.2× 42 0.3× 104 1.0× 196 2.0× 45 2.1k
Е. С. Корнилова Russia 14 314 0.6× 174 1.3× 95 0.7× 87 0.8× 152 1.5× 69 707
Rui Hong United States 13 431 0.9× 40 0.3× 60 0.5× 52 0.5× 75 0.8× 27 591
Ulrike Schnell United States 10 476 0.9× 137 1.0× 89 0.7× 64 0.6× 169 1.7× 13 853
Charlotte Stadler Sweden 12 398 0.8× 88 0.7× 34 0.3× 48 0.4× 39 0.4× 16 542

Countries citing papers authored by Markus R. Eisele

Since Specialization
Citations

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

Fields of papers citing papers by Markus R. Eisele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus R. Eisele. 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 Markus R. Eisele. The network helps show where Markus R. Eisele may publish in the future.

Co-authorship network of co-authors of Markus R. Eisele

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

All Works

8 of 8 papers shown
1.
Hung, Ka Ying Sharon, Sven Klumpe, Markus R. Eisele, et al.. (2022). Allosteric control of Ubp6 and the proteasome via a bidirectional switch. Nature Communications. 13(1). 838–838. 19 indexed citations
2.
Chen, Nanjun, Carolin Sailer, Markus R. Eisele, et al.. (2022). Mono- and Intralink Filter (Mi-Filter) To Reduce False Identifications in Cross-Linking Mass Spectrometry Data. Analytical Chemistry. 94(51). 17751–17756. 5 indexed citations
3.
Sakata, Eri, Markus R. Eisele, & Wolfgang Baumeister. (2020). Molecular and cellular dynamics of the 26S proteasome. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1869(3). 140583–140583. 34 indexed citations
4.
Mendes, Marta, Lutz Fischer, Zhuo A. Chen, et al.. (2019). An integrated workflow for crosslinking mass spectrometry. Molecular Systems Biology. 15(9). e8994–e8994. 142 indexed citations
5.
Eisele, Markus R., Till Rudack, A. Schweitzer, et al.. (2018). Expanded Coverage of the 26S Proteasome Conformational Landscape Reveals Mechanisms of Peptidase Gating. Cell Reports. 24(5). 1301–1315.e5. 89 indexed citations
6.
Xue, Qiong, Yao Lu, Markus R. Eisele, et al.. (2015). Analysis of single-cell cytokine secretion reveals a role for paracrine signaling in coordinating macrophage responses to TLR4 stimulation. Science Signaling. 8(381). ra59–ra59. 118 indexed citations
7.
Lu, Yao, Qiong Xue, Markus R. Eisele, et al.. (2015). Highly multiplexed profiling of single-cell effector functions reveals deep functional heterogeneity in response to pathogenic ligands. Proceedings of the National Academy of Sciences. 112(7). E607–15. 212 indexed citations
8.
Zhao, Chenguang, et al.. (2013). Regulation of Torsin ATPases by LAP1 and LULL1. Proceedings of the National Academy of Sciences. 110(17). E1545–54. 103 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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