Frank Scott

37 papers receiving 808 citations

Peers

Frank Scott
Comparison fields: 5 of 82
  • Microbiology 68
  • Small Animals 158
  • Cancer Research 160
  • Oncology 169
  • Pulmonary and Respiratory Medicine 138
Replace Jeffrey K. Taubenberger with:
Jeffrey K. Taubenberger United States
Keiichiro Kizaki Japan
Koji Ando Japan
Takuro Yoshimura Japan
Xiantang Li United States
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Tiha M. Long United States
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Citations per field
00.5×8.5×
Jeffrey K. Taubenberger · 1×
Citations per year

Countries citing papers authored by Frank Scott

Since Specialization
Citations

This map shows the geographic impact of Frank Scott'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 Frank Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Scott more than expected).

Fields of papers citing papers by Frank Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Scott. 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 Frank Scott. The network helps show where Frank Scott may publish in the future.

Co-authors

The 25 scholars most cited alongside Frank Scott, 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 Frank Scott Line = papers co-authored together Frank Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000125
2 1996107
3 198389
4 200064
5 197651
6 198334
7
High frequency of K-ras codon 12 mutations in bronchoalveolar lavage fluid of patients at high risk for second primary lung cancer.
199733
8 201331
9 200031
10 199528
11 198024
12 199623
13 199921
14 199620
15
Alpha-amidation of peptide hormones in lung cancer.
199117
16
Biochemical characterization of peptide alpha-amidation enzyme activities of human neuroendocrine lung cancer cell lines.
199316
17 199815
18 199314
19 199312
20 199610

About Frank Scott

Frank Scott is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Agronomy and Crop Science, having authored 37 papers that have together received 837 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (6 papers), Animal Disease Management and Epidemiology (6 papers), Lung Cancer Treatments and Mutations (5 papers), Infectious Diseases and Mycology (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Glycosylation and Glycoproteins Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Pregnancy-related medical research (2 papers). The work is most often cited by research in Microbiology (68 citations), Small Animals (158 citations), Cancer Research (160 citations), Oncology (169 citations) and Pulmonary and Respiratory Medicine (138 citations). Frank Scott has collaborated with scholars based in United States, United Kingdom and Malaysia. Frequent co-authors include Chu‐Xia Deng, James L. Mulshine, K.W. Angus, J. M. Sharp, Anthony M. Treston, E. W. Gray, Michele D. Vos, Ingalill Avis, Edward J. Unsworth and Jun Zhou. Their work appears in journals such as Lung Cancer, Veterinary Record, Journal of Cellular Biochemistry, Archives of Virology and Journal of Comparative 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.

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