Stuart W. Hicks
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
- Oncology 13
- CAR-T cell therapy research 7
- HER2/EGFR in Cancer Research 6
- Co-authors
- Carolyn E. Machamer (8 shared papers)Jorge E. Galán (4 shared papers)C. Erec Stebbins (1 shared paper)Cindy M. Quezada (1 shared paper)Guillaume Charron (2 shared papers)Federica Pericle (4 shared papers)Giuseppe Sconocchia (4 shared papers)David M. Segal (4 shared papers)
- Journals
- Cancer Research (5 papers)Journal of Biological Chemistry (4 papers)mAbs (2 papers)Blood (2 papers)Traffic (1 paper)
- Partner nations
- United StatesSwitzerlandUkraine
In The Last Decade
Stuart W. Hicks
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Endocrinology 119
- Cell Biology 305
- Physiology 58
- Virology 60
- Immunology 247
Countries citing papers authored by Stuart W. Hicks
This map shows the geographic impact of Stuart W. Hicks'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 Stuart W. Hicks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stuart W. Hicks more than expected).
Fields of papers citing papers by Stuart W. Hicks
This network shows the impact of papers produced by Stuart W. Hicks. 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 Stuart W. Hicks. The network helps show where Stuart W. Hicks may publish in the future.
Co-authors
The 25 scholars most cited alongside Stuart W. Hicks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 152 | |
| 2 | 2009 | 150 | |
| 3 | 2013 | 96 | |
| 4 | 2009 | 73 | |
| 5 | 2011 | 72 | |
| 6 | 2003 | 69 | |
| 7 | 2002 | 66 | |
| 8 | 1999 | 62 | |
| 9 | 2006 | 51 | |
| 10 | HIV-1 infection induces a selective reduction in STAT5 protein expression. | 1998 | 50 |
| 11 | 1998 | 46 | |
| 12 | 2006 | 43 | |
| 13 | 2006 | 40 | |
| 14 | 2005 | 39 | |
| 15 | 2011 | 34 | |
| 16 | 2017 | 27 | |
| 17 | 2019 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 1999 | 8 | |
| 20 | 2017 | 5 |
About Stuart W. Hicks
Stuart W. Hicks is a scholar working on Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Immunology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (7 papers), Endoplasmic Reticulum Stress and Disease (6 papers), HER2/EGFR in Cancer Research (6 papers), Cellular transport and secretion (6 papers), Immune Cell Function and Interaction (5 papers), Calcium signaling and nucleotide metabolism (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Endocrinology (119 citations), Cell Biology (305 citations), Physiology (58 citations), Virology (60 citations) and Immunology (247 citations). Stuart W. Hicks has collaborated with scholars based in United States, Switzerland and Ukraine. Frequent co-authors include Carolyn E. Machamer, Jorge E. Galán, C. Erec Stebbins, Cindy M. Quezada, Guillaume Charron, Federica Pericle, Giuseppe Sconocchia, David M. Segal, Howard C. Hang and David M. Zuckerman. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, mAbs, Blood and Traffic.
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.