Daniel A. Kraut

1.4k total citations
32 papers, 1.1k citations indexed

About

Daniel A. Kraut is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Daniel A. Kraut has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Cell Biology and 9 papers in Materials Chemistry. Recurrent topics in Daniel A. Kraut's work include Ubiquitin and proteasome pathways (17 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Autophagy in Disease and Therapy (7 papers). Daniel A. Kraut is often cited by papers focused on Ubiquitin and proteasome pathways (17 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Autophagy in Disease and Therapy (7 papers). Daniel A. Kraut collaborates with scholars based in United States, Germany and United Kingdom. Daniel A. Kraut's co-authors include Daniel Herschlag, Kate S. Carroll, Andreas Matouschek, Paul A. Sigala, Dagmar Ringe, Brandon Pybus, Gregory A. Petsko, Sumit Prakash, Jason P. Schwans and Corey W. Liu and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Daniel A. Kraut

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Kraut United States 16 808 312 141 89 87 32 1.1k
Koji Inaka Japan 22 959 1.2× 541 1.7× 121 0.9× 35 0.4× 38 0.4× 75 1.6k
Luciana Esposito Italy 23 1.1k 1.4× 437 1.4× 93 0.7× 128 1.4× 76 0.9× 74 1.4k
Eila Cedergren‐Zeppezauer Sweden 18 666 0.8× 272 0.9× 194 1.4× 30 0.3× 28 0.3× 26 968
Marta Martínez‐Júlvez Spain 26 1.2k 1.5× 343 1.1× 129 0.9× 39 0.4× 127 1.5× 70 1.6k
Laura Ciani Italy 16 600 0.7× 110 0.4× 134 1.0× 38 0.4× 53 0.6× 24 1.0k
Shobhna Kapoor India 23 1.1k 1.3× 279 0.9× 192 1.4× 20 0.2× 79 0.9× 75 1.6k
Chi H. Trinh United Kingdom 21 719 0.9× 141 0.5× 59 0.4× 25 0.3× 32 0.4× 46 1.2k
J. Alejandro D’Aquino United States 13 652 0.8× 267 0.9× 71 0.5× 42 0.5× 54 0.6× 18 998
Chiwook Park United States 26 1.2k 1.5× 346 1.1× 136 1.0× 26 0.3× 39 0.4× 41 1.5k
Daniel G. Isom United States 19 1.3k 1.6× 288 0.9× 93 0.7× 36 0.4× 114 1.3× 30 1.6k

Countries citing papers authored by Daniel A. Kraut

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Kraut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel A. Kraut. 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 Daniel A. Kraut. The network helps show where Daniel A. Kraut may publish in the future.

Co-authorship network of co-authors of Daniel A. Kraut

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Kraut. A scholar is included among the top collaborators of Daniel A. Kraut 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 Daniel A. Kraut. Daniel A. Kraut 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.
2.
Schnell, Michael A., Jiayu Zhang, Anthony F. Lagalante, et al.. (2025). KEAP1 C151 active site catalysis drives electrophilic signaling to upregulate cytoprotective enzyme expression. Redox Biology. 88. 103906–103906. 2 indexed citations
3.
Dao, Thuy P., et al.. (2024). Phase separation of polyubiquitinated proteins in UBQLN2 condensates controls substrate fate. Proceedings of the National Academy of Sciences. 121(33). e2405964121–e2405964121. 10 indexed citations
4.
Kraut, Daniel A., et al.. (2024). Slippery sequences stall the 26S proteasome at multiple points along the translocation pathway. Protein Science. 33(6). e5034–e5034. 1 indexed citations
5.
Kraut, Daniel A., et al.. (2023). The importance of proteasome grip depends on substrate stability. Biochemical and Biophysical Research Communications. 677. 162–167. 3 indexed citations
6.
7.
Kraut, Daniel A., et al.. (2021). Determination of Proteasomal Unfolding Ability. Methods in molecular biology. 2365. 217–244. 4 indexed citations
8.
Zhang, Fangyuan, et al.. (2021). An Integrated Computational and Experimental Approach to Identifying Inhibitors for SARS-CoV-2 3CL Protease. Frontiers in Molecular Biosciences. 8. 661424–661424. 18 indexed citations
9.
Boscia, Joseph, et al.. (2019). Ubiquitin receptors are required for substrate-mediated activation of the proteasome’s unfolding ability. Scientific Reports. 9(1). 14506–14506. 22 indexed citations
10.
Kraut, Daniel A., et al.. (2016). Substrate Ubiquitination Controls the Unfolding Ability of the Proteasome. Journal of Biological Chemistry. 291(35). 18547–18561. 28 indexed citations
11.
Fuxreiter, Mónika, Ágnes Tóth-Petróczy, Daniel A. Kraut, et al.. (2014). Disordered Proteinaceous Machines. Chemical Reviews. 114(13). 6806–6843. 104 indexed citations
12.
Kraut, Daniel A.. (2013). Slippery Substrates Impair ATP-dependent Protease Function by Slowing Unfolding. Journal of Biological Chemistry. 288(48). 34729–34735. 15 indexed citations
13.
Kraut, Daniel A., Eitan Israeli, Ashwini Patil, et al.. (2012). Sequence- and Species-Dependence of Proteasomal Processivity. ACS Chemical Biology. 7(8). 1444–1453. 43 indexed citations
14.
Kraut, Daniel A., Paul A. Sigala, Timothy D. Fenn, & Daniel Herschlag. (2010). Dissecting the paradoxical effects of hydrogen bond mutations in the ketosteroid isomerase oxyanion hole. Proceedings of the National Academy of Sciences. 107(5). 1960–1965. 56 indexed citations
15.
Koodathingal, Prakash, Daniel A. Kraut, Sumit Prakash, et al.. (2009). ATP-dependent Proteases Differ Substantially in Their Ability to Unfold Globular Proteins. Journal of Biological Chemistry. 284(28). 18674–18684. 64 indexed citations
16.
Kraut, Daniel A., et al.. (2009). Evaluating the Potential for Halogen Bonding in the Oxyanion Hole of Ketosteroid Isomerase Using Unnatural Amino Acid Mutagenesis. ACS Chemical Biology. 4(4). 269–273. 56 indexed citations
17.
Kraut, Daniel A., Sumit Prakash, & Andreas Matouschek. (2007). To degrade or release: ubiquitin-chain remodeling. Trends in Cell Biology. 17(9). 419–421. 27 indexed citations
18.
Kraut, Daniel A., Paul A. Sigala, Brandon Pybus, et al.. (2006). Testing Electrostatic Complementarity in Enzyme Catalysis: Hydrogen Bonding in the Ketosteroid Isomerase Oxyanion Hole. PLoS Biology. 4(4). e99–e99. 118 indexed citations
19.
Mühl, Thomas, et al.. (1998). Nanolithography of metal films using scanning force microscope patterned carbon masks. Journal of Vacuum Science & Technology B Microelectronics and Nanometer Structures Processing Measurement and Phenomena. 16(6). 3879–3882. 14 indexed citations
20.
Weise, G., et al.. (1994). Influence of variations of the steel substrate-Cr3Si(Cr)/MoS2−x film system on wear properties. Surface and Coatings Technology. 68-69. 512–518. 9 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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