Dieter H. Wolf

14.1k total citations · 2 hit papers
128 papers, 11.2k citations indexed

About

Dieter H. Wolf is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Dieter H. Wolf has authored 128 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 78 papers in Cell Biology and 26 papers in Epidemiology. Recurrent topics in Dieter H. Wolf's work include Endoplasmic Reticulum Stress and Disease (68 papers), Ubiquitin and proteasome pathways (50 papers) and Fungal and yeast genetics research (36 papers). Dieter H. Wolf is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (68 papers), Ubiquitin and proteasome pathways (50 papers) and Fungal and yeast genetics research (36 papers). Dieter H. Wolf collaborates with scholars based in Germany, United States and Czechia. Dieter H. Wolf's co-authors include Richard K. Plemper, Thomas Sommer, Javier Bordallo, Wolfgang Heinemeyer, Andreas Finger, Wolfgang Hilt, Alexandra Stolz, Eleonore Fröhlich, Frank Madeo and Martin Ligr and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Dieter H. Wolf

127 papers receiving 11.0k citations

Hit Papers

Oxygen Stress: A Regulator of Apoptosis in Yeast 1996 2026 2006 2016 1999 1996 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dieter H. Wolf Germany 54 8.8k 5.4k 2.3k 1.6k 922 128 11.2k
Thomas Sommer Germany 45 6.8k 0.8× 5.1k 0.9× 2.3k 1.0× 823 0.5× 875 0.9× 86 9.4k
Martin Rechsteiner United States 62 12.3k 1.4× 3.9k 0.7× 1.7k 0.8× 3.0k 1.8× 1.7k 1.9× 148 14.5k
Daniel Finley United States 51 13.7k 1.6× 4.9k 0.9× 3.4k 1.5× 3.4k 2.1× 1.1k 1.2× 68 15.4k
Yihong Ye United States 49 6.6k 0.8× 4.8k 0.9× 2.6k 1.1× 977 0.6× 1.0k 1.1× 110 9.9k
Ineke Braakman Netherlands 45 5.2k 0.6× 3.7k 0.7× 1.4k 0.6× 327 0.2× 1.5k 1.6× 100 8.3k
Lars Ellgaard Denmark 37 4.7k 0.5× 4.0k 0.7× 1.2k 0.5× 373 0.2× 1.2k 1.3× 62 7.5k
Stefan Jentsch Germany 64 17.0k 1.9× 4.6k 0.9× 2.4k 1.1× 3.6k 2.2× 1.1k 1.2× 106 19.0k
Raymond L. Erikson United States 62 10.5k 1.2× 4.0k 0.7× 708 0.3× 2.5k 1.5× 1.2k 1.3× 154 13.6k
Gert Kreibich United States 48 5.0k 0.6× 2.5k 0.5× 806 0.4× 581 0.4× 804 0.9× 118 7.7k
Benjamin E. Turk United States 45 6.9k 0.8× 1.3k 0.2× 2.0k 0.9× 1.6k 1.0× 770 0.8× 124 10.3k

Countries citing papers authored by Dieter H. Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Dieter H. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dieter H. Wolf. 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 Dieter H. Wolf. The network helps show where Dieter H. Wolf may publish in the future.

Co-authorship network of co-authors of Dieter H. Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of Dieter H. Wolf. A scholar is included among the top collaborators of Dieter H. Wolf 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 Dieter H. Wolf. Dieter H. Wolf 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.
Amm, Ingo, et al.. (2015). Quality Control of a Cytoplasmic Protein Complex. Journal of Biological Chemistry. 290(8). 4677–4687. 20 indexed citations
2.
Amm, Ingo, Thomas Sommer, & Dieter H. Wolf. (2013). Protein quality control and elimination of protein waste: The role of the ubiquitin–proteasome system. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(1). 182–196. 353 indexed citations
3.
Stolz, Alexandra, Wolfgang Hilt, Alexander Buchberger, & Dieter H. Wolf. (2011). Cdc48: a power machine in protein degradation. Trends in Biochemical Sciences. 36(10). 515–523. 198 indexed citations
4.
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
5.
Stolz, Alexandra & Dieter H. Wolf. (2010). Endoplasmic reticulum associated protein degradation: A chaperone assisted journey to hell. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(6). 694–705. 102 indexed citations
6.
Schäfer, Antje, et al.. (2008). Ubiquitin Ligase Hul5 Is Required for Fragment-specific Substrate Degradation in Endoplasmic Reticulum-associated Degradation. Journal of Biological Chemistry. 283(24). 16374–16383. 41 indexed citations
7.
Eisele, Frederik, et al.. (2006). Mutants of the deubiquitinating enzyme Ubp14 decipher pathway diversity of ubiquitin–proteasome linked protein degradation. Biochemical and Biophysical Research Communications. 350(2). 329–333. 15 indexed citations
8.
Schäfer, Antje & Dieter H. Wolf. (2005). Endoplasmic Reticulum-Associated Protein Quality Control and Degradation: Screen for ERAD Mutants After Ethylmethane Sulfonate Mutagenesis. Humana Press eBooks. 301. 283–288. 4 indexed citations
9.
Wolf, Dieter H. & Wolfgang Hilt. (2004). The proteasome: a proteolytic nanomachine of cell regulation and waste disposal. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1695(1-3). 19–31. 203 indexed citations
10.
Ligr, Martin, Eleonore Fröhlich, Frank Madeo, et al.. (2001). The Proteasomal Substrate Stm1 Participates in Apoptosis-like Cell Death in Yeast. Molecular Biology of the Cell. 12(8). 2422–2432. 61 indexed citations
11.
Kiser, Gretchen, Martina Gentzsch, Elisabetta Balzi, et al.. (2001). Expression and Degradation of the Cystic Fibrosis Transmembrane Conductance Regulator in Saccharomyces cerevisiae. Archives of Biochemistry and Biophysics. 390(2). 195–205. 38 indexed citations
12.
Dick, Tobias P., Alexander K. Nussbaum, Martin Deeg, et al.. (1998). Contribution of Proteasomal β-Subunits to the Cleavage of Peptide Substrates Analyzed with Yeast Mutants. Journal of Biological Chemistry. 273(40). 25637–25646. 209 indexed citations
13.
Enenkel, Cordula, et al.. (1998). Mutations in the Yeast Proteasome β-Type Subunit Pre3 Uncover Position-dependent Effects on Proteasomal Peptidase Activity and in Vivo Function. Journal of Biological Chemistry. 273(31). 19443–19452. 20 indexed citations
14.
Hoffmann, Michael, et al.. (1997). Yeast Cycloheximide-resistantcrlMutants Are Proteasome Mutants Defective in Protein Degradation. Molecular Biology of the Cell. 8(12). 2487–2499. 56 indexed citations
15.
Heinemeyer, Wolfgang, et al.. (1996). The Proteasome and Protein Degradation in Yeast. Advances in experimental medicine and biology. 389. 197–202. 7 indexed citations
17.
Fischer, Michael B., et al.. (1994). The 26S proteasome of the yeast Saccharomyces cerevisiae. FEBS Letters. 355(1). 69–75. 31 indexed citations
18.
Wolf, Dieter H., et al.. (1993). Proteasome and cell cycle. FEBS Letters. 336(1). 34–36. 43 indexed citations
19.
Schu, Peter & Dieter H. Wolf. (1991). The proteinase yscA‐inhibitor, IA3, gene Studies of cytoplasmic proteinase inhibitor deficiency on yeast physiology. FEBS Letters. 283(1). 78–84. 11 indexed citations
20.
Hirsch, Hans H., et al.. (1988). Aminopeptidase yscII of yeast. European Journal of Biochemistry. 173(3). 589–598. 25 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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