Gary P. Gamble
Impact in
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- Lung Cancer Diagnosis and Treatment
- Lung Cancer Treatments and Mutations
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- Lung Cancer Research Studies
- Cancer-related Molecular Pathways
Papers in
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- Lung Cancer Treatments and Mutations 3
- Lung Cancer Diagnosis and Treatment 2
- Oncology 3
- Lung Cancer Research Studies 3
- Co-authors
- Stephen L. Graziano (7 shared papers)Nancy B. Newman (6 shared papers)Leslie J. Kohman (5 shared papers)Ajeet Gajra (3 shared papers)Lynn Z. Abbott (1 shared paper)Michelle Nayahamui Rooney (1 shared paper)Bernard J. Poiesz (1 shared paper)Arthur H. Tatum (3 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Lung Cancer (2 papers)Genes Chromosomes and Cancer (1 paper)Clinical Lung Cancer (1 paper)PubMed (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Gary P. Gamble
8 papers receiving 649 citations
Peers
Comparison fields: 5 of 48
- Pulmonary and Respiratory Medicine 434
- Oncology 191
- Cancer Research 72
- Molecular Biology 161
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Gary P. Gamble
This map shows the geographic impact of Gary P. Gamble'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 Gary P. Gamble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary P. Gamble more than expected).
Fields of papers citing papers by Gary P. Gamble
This network shows the impact of papers produced by Gary P. Gamble. 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 Gary P. Gamble. The network helps show where Gary P. Gamble may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary P. Gamble, 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 | 2003 | 245 | |
| 2 | 1999 | 163 | |
| 3 | 2003 | 112 | |
| 4 | Serum CYFRA 21-1 in advanced stage non-small cell lung cancer: an early measure of response. | 2003 | 55 |
| 5 | 2002 | 42 | |
| 6 | 1992 | 41 | |
| 7 | 1999 | 27 | |
| 8 | Graziano SL, Tatum AH, Newman NB, et al. The prognostic significance of neuroendocrine markers and carcinoembryonic antigen in patients with resected stage I and II non-small cell lung cancer | 1994 | 1 |
About Gary P. Gamble
Gary P. Gamble is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Molecular Biology and Epidemiology, having authored 8 papers that have together received 686 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Glycosylation and Glycoproteins Research (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Cancer Genomics and Diagnostics (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (434 citations), Oncology (191 citations), Cancer Research (72 citations), Molecular Biology (161 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Gary P. Gamble has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephen L. Graziano, Nancy B. Newman, Leslie J. Kohman, Ajeet Gajra, Lynn Z. Abbott, Michelle Nayahamui Rooney, Bernard J. Poiesz, Arthur H. Tatum, Ramaswamy Govindan and Robert H. Christenson. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Genes Chromosomes and Cancer, Clinical Lung Cancer and PubMed.
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.