Gregory Ku
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
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- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Metabolism, Diabetes, and Cancer 3
- Receptor Mechanisms and Signaling 3
- CRISPR and Genetic Engineering 2
- Protein Kinase Regulation and GTPase Signaling 2
- RNA modifications and cancer 2
- Surgery 8
- Pancreatic function and diabetes 8
- Co-authors
- Arthur Weiss (2 shared papers)Michael T. McManus (7 shared papers)Michelle Kuhne (1 shared paper)Michael S. German (5 shared papers)IJsbrand M. Kramer (1 shared paper)Elisabeth Génot (1 shared paper)Boudewijn Burgering (1 shared paper)Cécile Arrieumerlou (1 shared paper)
- Journals
- Endocrinology (2 papers)Human Gene Therapy (1 paper)Scientific Reports (1 paper)Diabetes (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Gregory Ku
17 papers receiving 624 citations
Peers
Comparison fields: 5 of 65
- Immunology and Allergy 58
- Immunology 146
- Molecular Biology 430
- Cancer Research 84
- Cell Biology 79
Countries citing papers authored by Gregory Ku
This map shows the geographic impact of Gregory Ku'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 Gregory Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Ku more than expected).
Fields of papers citing papers by Gregory Ku
This network shows the impact of papers produced by Gregory Ku. 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 Gregory Ku. The network helps show where Gregory Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Ku, 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 | 2000 | 108 | |
| 2 | 2001 | 96 | |
| 3 | 2000 | 94 | |
| 4 | 2012 | 90 | |
| 5 | 2014 | 55 | |
| 6 | 2018 | 54 | |
| 7 | 2012 | 42 | |
| 8 | 2018 | 31 | |
| 9 | 2008 | 21 | |
| 10 | 2020 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2023 | 4 | |
| 14 | 2022 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2018 | 1 |
About Gregory Ku
Gregory Ku is a scholar working on Molecular Biology, Surgery, Cell Biology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 17 papers that have together received 634 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Metabolism, Diabetes, and Cancer (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Receptor Mechanisms and Signaling (3 papers), CRISPR and Genetic Engineering (2 papers), Diabetes Treatment and Management (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Immunology and Allergy (58 citations), Immunology (146 citations), Molecular Biology (430 citations), Cancer Research (84 citations) and Cell Biology (79 citations). Gregory Ku has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Arthur Weiss, Michael T. McManus, Michelle Kuhne, Michael S. German, IJsbrand M. Kramer, Elisabeth Génot, Boudewijn Burgering, Cécile Arrieumerlou, Hail Kim and Matthew J. Hangauer. Their work appears in journals such as Endocrinology, Human Gene Therapy, Scientific Reports, Diabetes and PLoS Genetics.
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.