Gregory M. Springett
Impact in
- Oncology top 1%
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 64
- Pancreatic and Hepatic Oncology Research 51
- Cancer Diagnosis and Treatment 6
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- Cancer Genomics and Diagnostics 24
- Co-authors
- David E. HousmanAnn M. GraybielMichiyuki MatsudaShinichiro TokiHiroaki KawasakiNaoki MochizukiMie NakayaSarah E. Hoffe
- Journals
- Journal of Clinical Oncology (25 papers)International Journal of Radiation Oncology*Biology*Physics (7 papers)Clinical Cancer Research (3 papers)Cancer Control (3 papers)Cancer Research (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Gregory M. Springett
84 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Oncology 2.0k
- Cancer Research 694
- Molecular Biology 1.9k
- Pulmonary and Respiratory Medicine 836
- Physiology 113
Countries citing papers authored by Gregory M. Springett
This map shows the geographic impact of Gregory M. Springett'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 M. Springett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Springett more than expected).
Fields of papers citing papers by Gregory M. Springett
This network shows the impact of papers produced by Gregory M. Springett. 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 M. Springett. The network helps show where Gregory M. Springett may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory M. Springett, 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 | 2018 | 56 | |
| 2 | 2017 | 12 | |
| 3 | 2017 | 14 | |
| 4 | 2016 | 13 | |
| 5 | 2016 | 39 | |
| 6 | 2015 | 14 | |
| 7 | 2015 | 7 | |
| 8 | 2015 | 65 | |
| 9 | 2015 | 69 | |
| 10 | 2014 | 32 | |
| 11 | 2013 | 54 | |
| 12 | 2013 | 267 | |
| 13 | 2013 | 19 | |
| 14 | 2011 | 68 | |
| 15 | 2011 | 78 | |
| 16 | 2009 | 19 | |
| 17 | 2009 | 135 | |
| 18 | 2009 | 39 | |
| 19 | 2006 | 7 | |
| 20 | 2004 | 61 |
About Gregory M. Springett
Gregory M. Springett is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Biotechnology and Epidemiology, having authored 86 papers that have together received 4.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (51 papers), Cancer Genomics and Diagnostics (24 papers), Neuroendocrine Tumor Research Advances (19 papers), Pancreatitis Pathology and Treatment (14 papers), Renal cell carcinoma treatment (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (7 papers), Cancer Diagnosis and Treatment (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). The work is most often cited by research in Oncology (2.0k citations), Cancer Research (694 citations), Molecular Biology (1.9k citations), Pulmonary and Respiratory Medicine (836 citations) and Physiology (113 citations). Gregory M. Springett has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include David E. Housman, Ann M. Graybiel, Michiyuki Matsuda, Shinichiro Toki, Hiroaki Kawasaki, Naoki Mochizuki, Mie Nakaya, Sarah E. Hoffe, Mokenge P. Malafa and Pamela J. Hodul. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Clinical Cancer Research, Cancer Control and Cancer Research.
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.