Kile Green

3.2k citations
21 papers · 801 indexed · h-index 11
Topics
Immunotherapy and Immune Responses (5 papers)COVID-19 diagnosis using AI (5 papers)COVID-19 Clinical Research Studies (3 papers)
Journals
Journal of Clinical InvestigationNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Kile Green

20 papers receiving 790 citations

Peers

Kile Green
Comparison fields: 5 of 87
  • Immunology 326
  • Molecular Biology 249
  • Cancer Research 117
  • Infectious Diseases 115
  • Genetics 112
Replace Simona Cascioli with:
Simona Cascioli Italy
René Weiss Austria
Knarik Arkun United States
Marco Folci Italy
Yngvar Fløisand Norway
Thierry Lazure France
Bo Ngan Canada
Tsuyoshi Kobashigawa Japan
José C. Villasboas United States
Lindsay Nicholson United Kingdom
Kile Green relative to Simona Cascioli Italy Simona Cascioli's profile →
Citations per field
00.5×1.5×1.8×
Simona Cascioli · 1×
Citations per year

Countries citing papers authored by Kile Green

Since Specialization
Citations

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

Fields of papers citing papers by Kile Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kile Green

This figure shows the co-authorship network connecting the top 25 collaborators of Kile Green. A scholar is included among the top collaborators of Kile Green 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 Kile Green. Kile Green 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 1
3 1
4 4
5 33
6 4
7 8
8 39
9
What is the role of imaging and biomarkers within the current testing strategy for the diagnosis of Covid-19?
1
10 162
11 105
12 21
13 44
14 8
15 86
16 216
17 31
18 14
19 1
20 17

About Kile Green

Kile Green is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 21 papers that have together received 801 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), COVID-19 diagnosis using AI (5 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Immunology (326 citations), Genetics (112 citations) and Cancer Research (117 citations). Kile Green has collaborated with scholars based in United Kingdom, Austria and Australia. Frequent co-authors include Anne M. Dickinson, Xiaonong Wang, Monica Reis, Emily Mavin, Lindsay Nicholson, Matthew Collin, Venetia Bigley, Andrew Filby, Sarah Pagan and David McDonald. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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