Donald S. Kirkpatrick
Impact in
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 0.5%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
Papers in
-
- Ubiquitin and proteasome pathways 56
- Protein Degradation and Inhibitors 9
- Glycosylation and Glycoproteins Research 8
- Cell Biology 17
- Endoplasmic Reticulum Stress and Disease 8
- Co-authors
- Steven P. GygiLilian PhuScott A. GerberBaris BingolCorey E. BakalarskiVishva M. DixitJoy S. TeaRandall W. King
- Journals
- Molecular Cell (11 papers)Molecular & Cellular Proteomics (7 papers)Journal of Biological Chemistry (6 papers)Cell (4 papers)Nature Cell Biology (4 papers)
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Donald S. Kirkpatrick
94 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Cell Biology 1.8k
- Molecular Biology 7.1k
- Oncology 1.7k
- Epidemiology 2.0k
- Cancer Research 863
Countries citing papers authored by Donald S. Kirkpatrick
This map shows the geographic impact of Donald S. Kirkpatrick'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 Donald S. Kirkpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald S. Kirkpatrick more than expected).
Fields of papers citing papers by Donald S. Kirkpatrick
This network shows the impact of papers produced by Donald S. Kirkpatrick. 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 Donald S. Kirkpatrick. The network helps show where Donald S. Kirkpatrick may publish in the future.
Co-authors
The 25 scholars most cited alongside Donald S. Kirkpatrick, 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 | 20 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 10 | |
| 4 | 2021 | 17 | |
| 5 | 2020 | 10 | |
| 6 | 2020 | 108 | |
| 7 | 2020 | 66 | |
| 8 | 2019 | 25 | |
| 9 | 2018 | 107 | |
| 10 | 2017 | 39 | |
| 11 | 2016 | 95 | |
| 12 | 2015 | 197 | |
| 13 | 2013 | 118 | |
| 14 | 2012 | 115 | |
| 15 | 2011 | 97 | |
| 16 | 2011 | 72 | |
| 17 | 2010 | 100 | |
| 18 | 2007 | 353 | |
| 19 | 2005 | 443 | |
| 20 | 1974 | 6 |
About Donald S. Kirkpatrick
Donald S. Kirkpatrick is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Cancer Research, having authored 95 papers that have together received 8.8k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (56 papers), Cancer-related Molecular Pathways (16 papers), Autophagy in Disease and Therapy (12 papers), Protein Degradation and Inhibitors (9 papers), Peptidase Inhibition and Analysis (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Glycosylation and Glycoproteins Research (8 papers) and Advanced Proteomics Techniques and Applications (8 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (7.1k citations), Oncology (1.7k citations), Epidemiology (2.0k citations) and Cancer Research (863 citations). Donald S. Kirkpatrick has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Steven P. Gygi, Lilian Phu, Scott A. Gerber, Baris Bingol, Corey E. Bakalarski, Vishva M. Dixit, Joy S. Tea, Randall W. King, Nathaniel A. Hathaway and Christine Yu. Their work appears in journals such as Molecular Cell, Molecular & Cellular Proteomics, Journal of Biological Chemistry, Cell and Nature Cell Biology.
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.