Shellaine R. Frazier

662 citations
30 papers · 469 indexed · h-index 14
Topics
AI in cancer detection (4 papers)HER2/EGFR in Cancer Research (3 papers)Cancer and Skin Lesions (3 papers)
Journals
SHILAP Revista de lepidopterologíaObstetrics and GynecologyAmerican Journal of Clinical Pathology

In The Last Decade

Shellaine R. Frazier

29 papers receiving 453 citations

Peers

Shellaine R. Frazier
Comparison fields: 5 of 72
  • Oncology 260
  • Surgery 144
  • Epidemiology 132
  • Molecular Biology 99
  • Cancer Research 58
Replace Mitsumasa Osakabe with:
Mitsumasa Osakabe Japan
Nurija Bilalović Bosnia and Herzegovina
André Balaton France
Giuliana Crisman Italy
Masamichi Bamba Japan
D Aldovini Italy
Nike Beaubier United States
Antonio Galia Italy
Martine Roelandts Belgium
Tommaso D’Antuono Italy
Shellaine R. Frazier relative to Mitsumasa Osakabe Japan Mitsumasa Osakabe's profile →
Citations per field
00.5×1.5×1.8×
Mitsumasa Osakabe · 1×
Citations per year

Countries citing papers authored by Shellaine R. Frazier

Since Specialization
Citations

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

Fields of papers citing papers by Shellaine R. Frazier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shellaine R. Frazier. 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 Shellaine R. Frazier. The network helps show where Shellaine R. Frazier may publish in the future.

Co-authorship network of co-authors of Shellaine R. Frazier

This figure shows the co-authorship network connecting the top 25 collaborators of Shellaine R. Frazier. A scholar is included among the top collaborators of Shellaine R. Frazier 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 Shellaine R. Frazier. Shellaine R. Frazier 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 0
2 15
3 14
4 4
5 4
6 2
7 20
8 16
9 18
10 1
11 20
12 7
13 24
14 83
15 13
16 2
17 16
18 7
19 5
20 10

About Shellaine R. Frazier

Shellaine R. Frazier is a scholar working on Oncology, Family Practice and Reproductive Medicine, having authored 30 papers that have together received 469 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Oncology (260 citations), Cancer Research (58 citations) and Epidemiology (132 citations). Shellaine R. Frazier has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Timothy S. Loy, Lester J. Layfield, Robert L. Schmidt, Magda Esebua, Robert P. Zitsch, M. Sharon Stack, Richard Hammer, Zonggao Shi, Ilker Ersoy and Jennifer E. Koblinski. Their work appears in journals such as SHILAP Revista de lepidopterología, Obstetrics and Gynecology and American Journal of Clinical 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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