Shannon C. Agner

1.9k total citations
25 papers, 1.3k citations indexed

About

Shannon C. Agner is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shannon C. Agner has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shannon C. Agner's work include AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (7 papers). Shannon C. Agner is often cited by papers focused on AI in cancer detection (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and MRI in cancer diagnosis (7 papers). Shannon C. Agner collaborates with scholars based in United States, China and United Kingdom. Shannon C. Agner's co-authors include Anant Madabhushi, Michael D. Feldman, Scott Doyle, John Tomaszewski, Ajay Basavanhally, Shridar Ganesan, Gyan Bhanot, J E Tomaszewski, Mark Rosen and James Monaco and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annual Review of Immunology and Proceedings of the IEEE.

In The Last Decade

Shannon C. Agner

23 papers receiving 1.3k citations

Peers

Shannon C. Agner
Comparison fields: 5 of 103
  • Artificial Intelligence 758
  • Radiology, Nuclear Medicine and Imaging 608
  • Computer Vision and Pattern Recognition 447
  • Molecular Biology 178
  • Biophysics 176
Replace Jana Lipková with:
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Dimitris Glotsos Greece
André Homeyer Germany
Mark D. Zarella United States
Neeraj Kumar India
Meyke Hermsen Netherlands
André Huisman Netherlands
Martin Halicek United States
Donghan M. Yang United States
Jana Lipková United States View profile →
Citations per field, relative to Shannon C. Agner
Shannon C. Agner · 1×
Citations per year, relative to Shannon C. Agner
Shannon C. Agner · 1×

Countries citing papers authored by Shannon C. Agner

Since Specialization
Citations

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

Fields of papers citing papers by Shannon C. Agner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon C. Agner

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon C. Agner. A scholar is included among the top collaborators of Shannon C. Agner 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 Shannon C. Agner. Shannon C. Agner 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 0
3 107
4 7
5 12
6 122
7 2
8 25
9 65
10 94
11 5
12 1
13 96
14 8
15 207
16 70
17 13
18 3
19 1
20 47

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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