Christopher M. Hickey
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Ubiquitin and proteasome pathways 13
- Fungal and yeast genetics research 4
- Protein Degradation and Inhibitors 3
- Lipid Membrane Structure and Behavior 3
- Nuclear Structure and Function 2
- Cell Biology 11
- Endoplasmic Reticulum Stress and Disease 7
- Cellular transport and secretion 6
- Co-authors
- Mark Hochstrasser (8 shared papers)William Wickner (6 shared papers)Joji Mima (2 shared papers)Christopher Stroupe (2 shared papers)Vincent J. Starai (1 shared paper)Youngsoo Jun (1 shared paper)Hao Xu (1 shared paper)Sabine Ehrt (1 shared paper)
- Journals
- Molecular Biology of the Cell (4 papers)Journal of Biological Chemistry (2 papers)Genetics (2 papers)Scientific Reports (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Christopher M. Hickey
20 papers receiving 1.3k citations
Christopher M. Hickey's Hit Papers
Peers
Comparison fields: 5 of 87
- Cell Biology 613
- Physiology 137
- Molecular Biology 1.1k
- Oncology 229
- Immunology 140
Countries citing papers authored by Christopher M. Hickey
This map shows the geographic impact of Christopher M. Hickey'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 Christopher M. Hickey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Hickey more than expected).
Fields of papers citing papers by Christopher M. Hickey
This network shows the impact of papers produced by Christopher M. Hickey. 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 Christopher M. Hickey. The network helps show where Christopher M. Hickey may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Hickey, 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 | Function and regulation of SUMO proteases Hit paper breakdown → | 2012 | 519 |
| 2 | 2008 | 141 | |
| 3 | 2010 | 114 | |
| 4 | 2008 | 104 | |
| 5 | 2009 | 94 | |
| 6 | 2005 | 86 | |
| 7 | 2009 | 66 | |
| 8 | 2007 | 42 | |
| 9 | 2003 | 30 | |
| 10 | 2024 | 29 | |
| 11 | 2016 | 22 | |
| 12 | 2020 | 21 | |
| 13 | 2015 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2024 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2016 | 7 | |
| 18 | 2024 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 2014 | 1 |
About Christopher M. Hickey
Christopher M. Hickey is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Parasitology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (13 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Cellular transport and secretion (6 papers), Peptidase Inhibition and Analysis (4 papers), Fungal and yeast genetics research (4 papers), Protein Degradation and Inhibitors (3 papers), Lipid Membrane Structure and Behavior (3 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Cell Biology (613 citations), Physiology (137 citations), Molecular Biology (1.1k citations), Oncology (229 citations) and Immunology (140 citations). Christopher M. Hickey has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Mark Hochstrasser, William Wickner, Joji Mima, Christopher Stroupe, Vincent J. Starai, Youngsoo Jun, Hao Xu, Sabine Ehrt, Antje Blumenthal and Sheetal Gandotra. Their work appears in journals such as Molecular Biology of the Cell, Journal of Biological Chemistry, Genetics, Scientific Reports and Nature Structural & Molecular 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.