Christine Teal

1.2k total citations
31 papers, 935 citations indexed

About

Christine Teal is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Christine Teal has authored 31 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cancer Research, 10 papers in Surgery and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Christine Teal's work include Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (10 papers) and Medical Imaging Techniques and Applications (9 papers). Christine Teal is often cited by papers focused on Breast Cancer Treatment Studies (14 papers), Breast Lesions and Carcinomas (10 papers) and Medical Imaging Techniques and Applications (9 papers). Christine Teal collaborates with scholars based in United States, Switzerland and United Kingdom. Christine Teal's co-authors include Rachel F. Brem, Jocelyn A. Rapelyea, Tricia Kelly, Jessica Torrente, Yebo Fu, Sidney W. Fu, Sana Tabbara, Yan‐Gao Man, Katayoon Rezaei and Xiaohui Tan and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Christine Teal

30 papers receiving 922 citations

Peers

Christine Teal
Comparison fields: 5 of 72
  • Cancer Research 450
  • Radiology, Nuclear Medicine and Imaging 377
  • Molecular Biology 334
  • Pathology and Forensic Medicine 215
  • Pulmonary and Respiratory Medicine 199
Replace Massimo Rinaldo with:
Massimo Rinaldo Italy
N. Fersis Germany
Tomohiro Miyake Japan
Eva‐Katrine Aarnes Norway
Jessica Young United States
Loes Kooreman Netherlands
Jessica Clement United States
A Nerurkar United Kingdom
Soong June Bae South Korea
Terumasa Sawada Japan
Massimo Rinaldo Italy View profile →
Citations per field, relative to Christine Teal
Christine Teal · 1×
Citations per year, relative to Christine Teal
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Countries citing papers authored by Christine Teal

Since Specialization
Citations

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

Fields of papers citing papers by Christine Teal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine Teal

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Teal. A scholar is included among the top collaborators of Christine Teal 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 Christine Teal. Christine Teal 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
# Work Indexed citations
1 1
2 0
3 1
4 2
5 105
6 94
7 40
8 9
9 1
10 32
11 24
12 75
13 43
14 121
15 1
16 10
17 54
18 19
19 77
20 15

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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