Christopher Gully
Impact in
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- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
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- 14-3-3 protein interactions 2
- Ubiquitin and proteasome pathways 2
- Metabolism, Diabetes, and Cancer 1
- Oncology 4
- Peptidase Inhibition and Analysis 3
- Co-authors
- Sai‐Ching J. Yeung (8 shared papers)Mong‐Hong Lee (7 shared papers)Guermarie Velázquez-Torres (4 shared papers)Stephanie Darmanin (3 shared papers)Masanobu Kobayashi (3 shared papers)Ran Zhao (2 shared papers)Ruiying Zhao (3 shared papers)Yin‐Hsun Feng (1 shared paper)
- Journals
- Oncogene (2 papers)Molecular Cancer (2 papers)Mini-Reviews in Medicinal Chemistry (1 paper)Journal of Cellular and Molecular Medicine (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Christopher Gully
7 papers receiving 404 citations
Peers
Comparison fields: 5 of 52
- Oncology 221
- Pathology and Forensic Medicine 126
- Cell Biology 87
- Cancer Research 66
- Molecular Biology 281
Countries citing papers authored by Christopher Gully
This map shows the geographic impact of Christopher Gully'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 Gully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Gully more than expected).
Fields of papers citing papers by Christopher Gully
This network shows the impact of papers produced by Christopher Gully. 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 Gully. The network helps show where Christopher Gully may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Gully, 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 | 2010 | 87 | |
| 2 | 2009 | 80 | |
| 3 | 2009 | 76 | |
| 4 | 2010 | 67 | |
| 5 | 2011 | 44 | |
| 6 | 2010 | 38 | |
| 7 | 2008 | 15 | |
| 8 | 2010 | 0 |
About Christopher Gully
Christopher Gully is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cell Biology and Immunology, having authored 8 papers that have together received 407 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Cancer Mechanisms and Therapy (3 papers), Microtubule and mitosis dynamics (3 papers), Macrophage Migration Inhibitory Factor (2 papers), 14-3-3 protein interactions (2 papers), Ubiquitin and proteasome pathways (2 papers), Pancreatic function and diabetes (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Oncology (221 citations), Pathology and Forensic Medicine (126 citations), Cell Biology (87 citations), Cancer Research (66 citations) and Molecular Biology (281 citations). Christopher Gully has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Sai‐Ching J. Yeung, Mong‐Hong Lee, Guermarie Velázquez-Torres, Stephanie Darmanin, Masanobu Kobayashi, Ran Zhao, Ruiying Zhao, Yin‐Hsun Feng, Jian Chen and Fanmao Zhang. Their work appears in journals such as Oncogene, Molecular Cancer, Mini-Reviews in Medicinal Chemistry, Journal of Cellular and Molecular Medicine and American Journal Of Pathology.
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.