Hartmut Scheel

2.4k total citations
19 papers, 1.9k citations indexed

About

Hartmut Scheel is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Hartmut Scheel has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Hartmut Scheel's work include Ubiquitin and proteasome pathways (16 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Hartmut Scheel is often cited by papers focused on Ubiquitin and proteasome pathways (16 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Glycosylation and Glycoproteins Research (4 papers). Hartmut Scheel collaborates with scholars based in Germany, United Kingdom and United States. Hartmut Scheel's co-authors include Kay Hofmann, David Komander, R. Jürgen Dohmen, Yu Ye, Christopher J. Lord, David Barford, Alan Ashworth, Sally Swift, R. Palanimurugan and Maria A. Miteva and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Molecular Cell.

In The Last Decade

Hartmut Scheel

19 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hartmut Scheel Germany 16 1.6k 436 416 219 204 19 1.9k
Ilia V. Davydov United States 15 1.8k 1.2× 305 0.7× 853 2.1× 258 1.2× 230 1.1× 20 2.2k
Stephan Schlenker Germany 7 1.5k 0.9× 548 1.3× 320 0.8× 310 1.4× 88 0.4× 7 1.8k
Kevin L. Lorick United States 12 2.0k 1.2× 521 1.2× 432 1.0× 254 1.2× 189 0.9× 13 2.3k
Lionel Pintard France 29 2.3k 1.4× 845 1.9× 387 0.9× 260 1.2× 148 0.7× 57 2.8k
Richard T. Timms United Kingdom 23 1.5k 1.0× 288 0.7× 242 0.6× 229 1.0× 186 0.9× 36 1.9k
Svetlana Lyapina United States 9 1.9k 1.2× 445 1.0× 474 1.1× 286 1.3× 151 0.7× 13 2.1k
Beth Furnari United States 11 2.2k 1.4× 928 2.1× 536 1.3× 122 0.6× 264 1.3× 11 2.5k
Julia K. Pagan United States 17 1.7k 1.1× 404 0.9× 510 1.2× 310 1.4× 183 0.9× 23 2.1k
Annette Flotho Germany 11 1.6k 1.0× 352 0.8× 427 1.0× 138 0.6× 127 0.6× 12 1.8k
Yusuke Sato Japan 27 1.6k 1.0× 499 1.1× 431 1.0× 294 1.3× 246 1.2× 58 2.0k

Countries citing papers authored by Hartmut Scheel

Since Specialization
Citations

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

Fields of papers citing papers by Hartmut Scheel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hartmut Scheel

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

All Works

19 of 19 papers shown
1.
Posch, Markus, Avinash K. Persaud, Hartmut Scheel, et al.. (2013). Ubiquitylation-dependent localization of PLK1 in mitosis. Nature Cell Biology. 15(4). 430–439. 94 indexed citations
2.
Agromayor, Monica, Nicolas Soler, Anna Caballe, et al.. (2012). The UBAP1 Subunit of ESCRT-I Interacts with Ubiquitin via a SOUBA Domain. Structure. 20(3). 414–428. 89 indexed citations
3.
Pfirrmann, Thorsten, et al.. (2011). Gid9, a second RING finger protein contributes to the ubiquitin ligase activity of the Gid complex required for catabolite degradation. FEBS Letters. 585(24). 3856–3861. 38 indexed citations
4.
Bissels, Ute, Stefan Wild, Stefan Tomiuk, et al.. (2011). Combined Characterization of microRNA and mRNA Profiles Delineates Early Differentiation Pathways of CD133+ and CD34+ Hematopoietic Stem and Progenitor Cells. Stem Cells. 29(5). 847–857. 68 indexed citations
5.
Ye, Yu, Hartmut Scheel, Kay Hofmann, & David Komander. (2009). Dissection of USPcatalytic domains reveals five common insertion points. Molecular BioSystems. 5(12). 1797–1808. 142 indexed citations
6.
7.
Zaidi, Iram Waris, Gwénaël Rabut, Ana Poveda, et al.. (2008). Rtt101 and Mms1 in budding yeast form a CUL4 DDB1 ‐like ubiquitin ligase that promotes replication through damaged DNA. EMBO Reports. 9(10). 1034–1040. 80 indexed citations
8.
Komander, David, Christopher J. Lord, Hartmut Scheel, et al.. (2008). The Structure of the CYLD USP Domain Explains Its Specificity for Lys63-Linked Polyubiquitin and Reveals a B Box Module. Molecular Cell. 29(4). 451–464. 222 indexed citations
9.
Pfirrmann, Thorsten, Philipp Kimmig, Hartmut Scheel, et al.. (2008). The Yeast GID Complex, a Novel Ubiquitin Ligase (E3) Involved in the Regulation of Carbohydrate Metabolism. Molecular Biology of the Cell. 19(8). 3323–3333. 123 indexed citations
10.
Sha, Zhe, et al.. (2007). Isolation of the Schizosaccharomyces pombe Proteasome Subunit Rpn7 and a Structure-Function Study of the Proteasome-COP9-Initiation Factor Domain. Journal of Biological Chemistry. 282(44). 32414–32423. 14 indexed citations
11.
Uzunova, Kristina, Maria A. Miteva, Michaela Niessen, et al.. (2007). Ubiquitin-dependent Proteolytic Control of SUMO Conjugates. Journal of Biological Chemistry. 282(47). 34167–34175. 258 indexed citations
12.
Eifler, Karolin, Andréa Faust, Hartmut Scheel, et al.. (2007). PRT6/At5g02310 encodes an Arabidopsis ubiquitin ligase of the N‐end rule pathway with arginine specificity and is not the CER3 locus. FEBS Letters. 581(17). 3189–3196. 89 indexed citations
13.
Scheel, Hartmut & Kay Hofmann. (2006). The GI‐UEV Domain, a Catalytically Inactive Ubiquitin‐Conjugating Enzyme Variant With a Role in Translational Regulation. Israel Journal of Chemistry. 46(2). 183–188. 2 indexed citations
14.
Kapelari, Barbara, Hartmut Scheel, Kay Hofmann, et al.. (2005). The Zinc Finger of the CSN-Associated Deubiquitinating Enzyme USP15 Is Essential to Rescue the E3 Ligase Rbx1. Current Biology. 15(13). 1217–1221. 121 indexed citations
15.
Scheel, Hartmut & Kay Hofmann. (2005). Prediction of a common structural scaffold for proteasome lid, COP9-signalosome and eIF3 complexes. BMC Bioinformatics. 6(1). 71–71. 75 indexed citations
16.
Palanimurugan, R., Hartmut Scheel, Kay Hofmann, & R. Jürgen Dohmen. (2004). Polyamines regulate their synthesis by inducing expression and blocking degradation of ODC antizyme. The EMBO Journal. 23(24). 4857–4867. 108 indexed citations
17.
Scheel, Hartmut. (2003). Elucidation of ataxin-3 and ataxin-7 function by integrative bioinformatics. Human Molecular Genetics. 12(21). 2845–2852. 116 indexed citations
18.
Scheel, Hartmut & Kay Hofmann. (2003). A novel inter action motif, SARAH, connects three classes of tumor suppressor. Current Biology. 13(23). R899–R900. 106 indexed citations
19.
Scheel, Hartmut. (2002). A common protein interaction domain links two recently identified epilepsy genes. Human Molecular Genetics. 11(15). 1757–1762. 98 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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