S.L. Tucker

37 papers receiving 1.4k citations

Peers

S.L. Tucker
Comparison fields: 5 of 87
  • Pathology and Forensic Medicine 387
  • Oncology 466
  • Genetics 169
  • Radiation 117
  • Radiology, Nuclear Medicine and Imaging 279
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Dany Grahek France
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Citations per year

Countries citing papers authored by S.L. Tucker

Since Specialization
Citations

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

Fields of papers citing papers by S.L. Tucker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989171
2 1986154
3 1989151
4 1994142
5
Biological effect of epidermal growth factor on the in vitro growth of human tumors.
1987124
6 199288
7
Multiparametric in situ mRNA hybridization analysis to predict disease recurrence in patients with colon carcinoma.
199668
8 198559
9 199052
10
The relationship between functional assays of radiation response in the lung and target cell depletion.
198651
11 201050
12 198849
13 201341
14 199028
15 200727
16 198927
17
Predominance of the metastatic phenotype in somatic cell hybrids of the K-1735 murine melanoma.
199122
18 198621
19 199118
20 201517

About S.L. Tucker

S.L. Tucker is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Radiation, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Effects of Radiation Exposure (9 papers), Advanced Radiotherapy Techniques (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Head and Neck Cancer Studies (3 papers), Radiation Therapy and Dosimetry (3 papers), Cancer Treatment and Pharmacology (3 papers) and CNS Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (387 citations), Oncology (466 citations), Genetics (169 citations), Radiation (117 citations) and Radiology, Nuclear Medicine and Imaging (279 citations). S.L. Tucker has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Elizabeth L. Travis, Fredrick B. Hagemeister, Fernando Cabanillas, Sundar Jagannath, W S Velasquez, William A. Brock, Lillian M. Fuller, John T. Manning, Howard D. Thames and S Jagannath. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, International Journal of Radiation Biology, British Journal of Cancer and Neuro-Oncology.

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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