Gary P. Gamble

784 citations
9 papers · 636 indexed · h-index 7

Impact in

Papers in

Gary P. Gamble

9 papers receiving 617 citations

Peers

Gary P. Gamble
Comparison fields: 5 of 55
  • Pulmonary and Respiratory Medicine 470
  • Microbiology 9
  • Oncology 260
  • Cancer Research 71
  • Otorhinolaryngology 20
Replace H. Bülzebruck with:
H. Bülzebruck Germany
Fangfei Qian China
Timothy Craig Allen United States
Samir Darwish Italy
Lorenz Jost Switzerland
Yaping Xu China
Hisao Uejima Japan
Yoshitaka Zenke Japan
Whitney S. Brandt United States
Yuko Oya Japan
Gary P. Gamble relative to H. Bülzebruck Germany H. Bülzebruck's profile →
Citations per field
00.5×
H. Bülzebruck · 1×
Citations per year

Countries citing papers authored by Gary P. Gamble

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Gary P. Gamble Line = papers co-authored together Gary P. Gamble links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20071
2 2003109
3 2003228
4
Serum CYFRA 21-1 in advanced stage non-small cell lung cancer: an early measure of response.
200353
5 200236
6 199926
7 1999146
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
19941
9 199236

About Gary P. Gamble

Gary P. Gamble is a scholar working on Microbiology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Molecular Biology, having authored 9 papers that have together received 636 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (5 papers), Lung Cancer Diagnosis and Treatment (3 papers), Glycosylation and Glycoproteins Research (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Cancer Genomics and Diagnostics (1 paper) and Actinomycetales infections and treatment (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (470 citations), Microbiology (9 citations), Oncology (260 citations), Cancer Research (71 citations) and Otorhinolaryngology (20 citations). Gary P. Gamble has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephen L. Graziano, Nancy Newman, Leslie J. Kohman, Ajeet Gajra, Bernard J. Poiesz, Michelle Nayahamui Rooney, Lynn Abbott, Ramaswamy Govindan, Michael J. Kelley and Robin T. Vollmer. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Clinical Lung Cancer, Genes Chromosomes and 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.

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