David M. Duda
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways 22
- Enzyme function and inhibition 8
- Protein Degradation and Inhibitors 8
- Glycosylation and Glycoproteins Research 5
- Biochemical and Molecular Research 4
- Cell Biology top 2%
- Epidemiology top 2%
- Autophagy in Disease and Therapy 10
- Oncology top 5%
- Cancer-related Molecular Pathways 4
- Parasitology top 5%
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- Synthesis and Catalytic Reactions 5
- Co-authors
- Brenda A. SchulmanDaniel C. ScottMichal HammelJennifer L. OlszewskiJ. Wade HarperDarcie J. MillerJin‐Mi HeoAlban Ordureau
- Journals
- Molecular Cell (9 papers)Biochemistry (4 papers)Nature Structural & Molecular Biology (3 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
David M. Duda
38 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Molecular Biology 3.4k
- Cell Biology 630
- Epidemiology 1.2k
- Oncology 931
- Parasitology 121
Countries citing papers authored by David M. Duda
This map shows the geographic impact of David M. Duda'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 David M. Duda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Duda more than expected).
Fields of papers citing papers by David M. Duda
This network shows the impact of papers produced by David M. Duda. 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 David M. Duda. The network helps show where David M. Duda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Duda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 5 | |
| 4 | 2017 | 42 | |
| 5 | 2016 | 164 | |
| 6 | 2014 | 6 | |
| 7 | Quantitative Proteomics Reveal a Feedforward Mechanism for Mitochondrial PARKIN Translocation and Ubiquitin Chain Synthesisbreakdown → | 2014 | 545 |
| 8 | 2013 | 115 | |
| 9 | 2012 | 65 | |
| 10 | 2011 | 165 | |
| 11 | 2011 | 39 | |
| 12 | 2010 | 89 | |
| 13 | 2010 | 61 | |
| 14 | 2009 | 232 | |
| 15 | 2009 | 359 | |
| 16 | 2005 | 129 | |
| 17 | 2005 | 3 | |
| 18 | 2004 | 68 | |
| 19 | 2003 | 7 | |
| 20 | 2002 | 13 |
About David M. Duda
David M. Duda is a scholar working on Molecular Biology, Physical and Theoretical Chemistry, Parasitology, Oncology and Epidemiology, having authored 38 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (22 papers), Autophagy in Disease and Therapy (10 papers), Enzyme function and inhibition (8 papers), Protein Degradation and Inhibitors (8 papers), Glycosylation and Glycoproteins Research (5 papers), Synthesis and Catalytic Reactions (5 papers), Biochemical and Molecular Research (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Molecular Biology (3.4k citations), Cell Biology (630 citations), Epidemiology (1.2k citations), Oncology (931 citations) and Parasitology (121 citations). David M. Duda has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Brenda A. Schulman, Daniel C. Scott, Michal Hammel, Jennifer L. Olszewski, J. Wade Harper, Darcie J. Miller, Jin‐Mi Heo, Alban Ordureau, Danny T. Huang and Matthew F. Calabrese. Their work appears in journals such as Molecular Cell, Biochemistry, Nature Structural & Molecular Biology, Structure and Cell.
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.