Kevin G. King

1.2k total citations
29 papers, 481 citations indexed

About

Kevin G. King is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Kevin G. King has authored 29 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 11 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Kevin G. King's work include MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Renal cell carcinoma treatment (4 papers). Kevin G. King is often cited by papers focused on MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Renal cell carcinoma treatment (4 papers). Kevin G. King collaborates with scholars based in United States, Australia and United Kingdom. Kevin G. King's co-authors include Vinay Duddalwar, Inderbir S. Gill, David Lu, Steven S. Raman, Daniel Margolis, Jiaoti Huang, Robert E. Reiter, Edward G. Grant, Nelly Tan and Mittul Gulati and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of The Electrochemical Society.

In The Last Decade

Kevin G. King

27 papers receiving 470 citations

Peers

Kevin G. King
Comparison fields: 5 of 69
  • Pulmonary and Respiratory Medicine 280
  • Radiology, Nuclear Medicine and Imaging 129
  • Rheumatology 109
  • Surgery 81
  • Oncology 74
Replace Surjith Vattoth with:
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Isabelle Delpierre Belgium
Jan C. Schuller Switzerland
Ruizhi Zhou China
Sergio Racchiusa Italy
Jessica Y. Tong Australia
Dirk Pickuth Germany
Pietro Fiaschi Italy
Il Ki Hong South Korea
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Surjith Vattoth United States View profile →
Citations per field, relative to Kevin G. King
Kevin G. King · 1×
Citations per year, relative to Kevin G. King
Kevin G. King · 1×

Countries citing papers authored by Kevin G. King

Since Specialization
Citations

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

Fields of papers citing papers by Kevin G. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin G. King. 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 Kevin G. King. The network helps show where Kevin G. King may publish in the future.

Co-authorship network of co-authors of Kevin G. King

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin G. King. A scholar is included among the top collaborators of Kevin G. King 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 Kevin G. King. Kevin G. King 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 0
2 1
3 2
4 9
5 1
6 5
7 23
8 9
9 20
10 2
11 10
12 38
13 56
14 1
15 22
16 18
17 20
18 35
19 8
20 49

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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