C. Matthew Kinsey

1.2k citations
37 papers · 547 indexed · h-index 14
Topics
Lung Cancer Diagnosis and Treatment (24 papers)Lung Cancer Treatments and Mutations (9 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)
Partner nations
United StatesBrazilChina

In The Last Decade

C. Matthew Kinsey

34 papers receiving 537 citations

Peers

C. Matthew Kinsey
Comparison fields: 5 of 95
  • Pulmonary and Respiratory Medicine 354
  • Radiology, Nuclear Medicine and Imaging 87
  • Oncology 80
  • Physiology 65
  • Surgery 62
Replace Antonio Mazzella with:
Antonio Mazzella Italy
Cengiz Gebitekin Türkiye
Tsai-Wang Huang Taiwan
Apostolos Nakas United Kingdom
Naoko Morishita Japan
Michael A. Samuels United States
R.J. van Klaveren Netherlands
Güntülü Ak Türkiye
Dan Zhao China
Angie Giotis Canada
C. Matthew Kinsey relative to Antonio Mazzella Italy Antonio Mazzella's profile →
Citations per field
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Antonio Mazzella · 1×
Citations per year

Countries citing papers authored by C. Matthew Kinsey

Since Specialization
Citations

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

Fields of papers citing papers by C. Matthew Kinsey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Matthew Kinsey. 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 C. Matthew Kinsey. The network helps show where C. Matthew Kinsey may publish in the future.

Co-authorship network of co-authors of C. Matthew Kinsey

This figure shows the co-authorship network connecting the top 25 collaborators of C. Matthew Kinsey. A scholar is included among the top collaborators of C. Matthew Kinsey 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 C. Matthew Kinsey. C. Matthew Kinsey 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 1
2 1
3 0
4 3
5 0
6 15
7 10
8 1
9 10
10 18
11 8
12 24
13 58
14 19
15 2
16 90
17 33
18 26
19 3
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Outcome of Philadelphia positive (Ph+) childhood acute lymphoblastic leukaemia (ALL) on the MRC ALL 97/01 trial
7

About C. Matthew Kinsey

C. Matthew Kinsey is a scholar working on Pulmonary and Respiratory Medicine, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 547 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (24 papers), Lung Cancer Treatments and Mutations (9 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (354 citations), Otorhinolaryngology (35 citations) and Geriatrics and Gerontology (24 citations). C. Matthew Kinsey has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Douglas A. Arenberg, Jason H. T. Bates, Raúl San Jośe Estépar, George R. Washko, David C. Christiani, Jos van der Velden, Bernard F. Cole, Garth Garrison, Christopher J. Anker and Kelly J. Butnor. Their work appears in journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and Scientific Reports.

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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