Gail L. Shaw

528 citations
24 papers · 394 indexed · h-index 11
Topics
Lung Cancer Treatments and Mutations (8 papers)Lung Cancer Research Studies (7 papers)Cancer Treatment and Pharmacology (4 papers)

In The Last Decade

Gail L. Shaw

23 papers receiving 373 citations

Peers

Gail L. Shaw
Comparison fields: 5 of 67
  • Oncology 159
  • Molecular Biology 138
  • Genetics 108
  • Pulmonary and Respiratory Medicine 100
  • Cancer Research 80
Replace Kuk‐Jin Choe with:
Kuk‐Jin Choe South Korea
Tamara Čaćev Croatia
Okhee Suh United States
Chieko Tamura Japan
Jun Ruan China
José S. Subauste United States
Leo Auerbach Austria
Susanne Schüler‐Toprak Germany
Marjaneh Farazestanian Iran
M Salhab United Kingdom
Gail L. Shaw relative to Kuk‐Jin Choe South Korea Kuk‐Jin Choe's profile →
Citations per field
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Kuk‐Jin Choe · 1×
Citations per year

Countries citing papers authored by Gail L. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Gail L. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail L. Shaw. 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 Gail L. Shaw. The network helps show where Gail L. Shaw may publish in the future.

Co-authorship network of co-authors of Gail L. Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Gail L. Shaw. A scholar is included among the top collaborators of Gail L. Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gail L. Shaw. Gail L. Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 4
4 7
5 31
6 9
7
Debrisoquine metabolism and lung cancer risk.
15
8 2
9 37
10 1
11 14
12 21
13
Individualized chemotherapy for patients with non-small cell lung cancer determined by prospective identification of neuroendocrine markers and in vitro drug sensitivity testing.
37
14 0
15 2
16 16
17 61
18 7
19 41
20
The temporal integration of 3-D structure from motion: a computational and psychophysical study
8

About Gail L. Shaw

Gail L. Shaw is a scholar working on Oncology, Cancer Research and Pharmacology, having authored 24 papers that have together received 394 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Lung Cancer Research Studies (7 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Oncology (159 citations), Cancer Research (80 citations) and Reproductive Medicine (34 citations). Gail L. Shaw has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Roni T. Falk, Linda W. Pickle, Patricia A. Buffler, Harvey I. Pass, M. A. Tucker, Robert N. Hoover, Patricia Hartge, James L. Mulshine, Neil E. Caporaso and Christopher I. Amos. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Cancer and American Journal of Epidemiology.

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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