Kurt M. Reichermeier

690 total citations
10 papers, 492 citations indexed

About

Kurt M. Reichermeier is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Kurt M. Reichermeier has authored 10 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Kurt M. Reichermeier's work include Ubiquitin and proteasome pathways (8 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (3 papers). Kurt M. Reichermeier is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Protein Degradation and Inhibitors (6 papers) and Peptidase Inhibition and Analysis (3 papers). Kurt M. Reichermeier collaborates with scholars based in United States, Germany and Switzerland. Kurt M. Reichermeier's co-authors include Justin M. Reitsma, Raymond J. Deshaies, Michael J. Sweredoski, Annie Moradian, Sonja Hess, Xing Liu, Robert Oania, A. Maxwell Burroughs, Rati Verma and L. Aravind and has published in prestigious journals such as Nature, Cell and The EMBO Journal.

In The Last Decade

Kurt M. Reichermeier

10 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kurt M. Reichermeier United States	9	446	121	84	84	34	10	492
Alaron Lewis United States	5	459 1.0×	108 0.9×	35 0.4×	96 1.1×	39 1.1×	6	479
Sabina Schütz Switzerland	9	372 0.8×	68 0.6×	66 0.8×	133 1.6×	21 0.6×	9	476
Kyle M. Kovary United States	7	514 1.2×	56 0.5×	47 0.6×	61 0.7×	50 1.5×	9	608
Ilia Kats Germany	10	364 0.8×	71 0.6×	21 0.3×	74 0.9×	25 0.7×	17	421
Thomas J. Siepmann United States	4	376 0.8×	120 1.0×	63 0.8×	71 0.8×	47 1.4×	5	409
Zhanyu Ding China	11	558 1.3×	70 0.6×	60 0.7×	81 1.0×	92 2.7×	13	617
Quentin Defenouillère France	7	441 1.0×	52 0.4×	26 0.3×	97 1.2×	38 1.1×	8	464
Daria Krutauz Israel	5	285 0.6×	52 0.4×	101 1.2×	122 1.5×	24 0.7×	7	311
A.G. Murachelli Netherlands	3	293 0.7×	70 0.6×	40 0.5×	76 0.9×	22 0.6×	4	337
Klára Ács Sweden	12	651 1.5×	199 1.6×	74 0.9×	147 1.8×	54 1.6×	16	725

Countries citing papers authored by Kurt M. Reichermeier

Since Specialization

Citations

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

Fields of papers citing papers by Kurt M. Reichermeier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt M. Reichermeier. 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 Kurt M. Reichermeier. The network helps show where Kurt M. Reichermeier may publish in the future.

Co-authorship network of co-authors of Kurt M. Reichermeier

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

All Works

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10 of 10 papers shown

Scott, Daniel C., Barbara Steigenberger, Trent Hinkle, et al.. (2024). Cullin-RING ligases employ geometrically optimized catalytic partners for substrate targeting. Molecular Cell. 84(7). 1304–1320.e16. 20 indexed citations

Mohamed, Weaam I, Andreas D. Schenk, Georg Kempf, et al.. (2021). The CRL4 ^DCAF1 cullin‐RING ubiquitin ligase is activated following a switch in oligomerization state. The EMBO Journal. 40(22). e108008–e108008. 23 indexed citations

Wang, Kankan, Kurt M. Reichermeier, & Xing Liu. (2021). Quantitative analyses for effects of neddylation on CRL2^VHL substrate ubiquitination and degradation. Protein Science. 30(11). 2338–2345. 10 indexed citations

Reichermeier, Kurt M., Ronny Straube, Justin M. Reitsma, et al.. (2020). PIKES Analysis Reveals Response to Degraders and Key Regulatory Mechanisms of the CRL4 Network. Molecular Cell. 77(5). 1092–1106.e9. 55 indexed citations

Hill, Spencer, Kurt M. Reichermeier, Daniel C. Scott, et al.. (2019). Robust cullin-RING ligase function is established by a multiplicity of poly-ubiquitylation pathways. eLife. 8. 68 indexed citations

Chen, Sihan, Gwendolyn Μ. Jang, Ruth Hüttenhain, et al.. (2018). CRL4 ^AMBRA1 targets Elongin C for ubiquitination and degradation to modulate CRL5 signaling. The EMBO Journal. 37(18). 12 indexed citations

Verma, Rati, Kurt M. Reichermeier, A. Maxwell Burroughs, et al.. (2018). Vms1 and ANKZF1 peptidyl-tRNA hydrolases release nascent chains from stalled ribosomes. Nature. 557(7705). 446–451. 121 indexed citations

Reitsma, Justin M., Xing Liu, Kurt M. Reichermeier, et al.. (2017). Composition and Regulation of the Cellular Repertoire of SCF Ubiquitin Ligases. Cell. 171(6). 1326–1339.e14. 111 indexed citations

Reichermeier, Kurt M., Martin Winkler, Anne Schreiber, et al.. (2016). Structural and kinetic analysis of the COP9-Signalosome activation and the cullin-RING ubiquitin ligase deneddylation cycle. eLife. 5. 71 indexed citations

10.

Reichermeier, Kurt M., M Caselitz, & Siegfried Wagner. (2014). An Unusual Case of a Pancreatic Cyst. Gastroenterology. 147(4). e1–e2. 1 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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