Gregory Kicska

1.5k citations
44 papers · 1.0k · h-index 16

Impact in

Papers in

Gregory Kicska

42 papers receiving 1.0k citations

Peers

Gregory Kicska
Comparison fields: 5 of 106
  • Physiology 103
  • Infectious Diseases 239
  • Critical Care and Intensive Care Medicine 38
  • Epidemiology 251
  • Molecular Biology 445
Replace Ji Woong Son with:
Ji Woong Son South Korea
Charles A. Kennedy United States
Johannes Wiegand Germany
Franca Mannu Italy
Mingfeng Liao China
Ethan M. Weinberg United States
Éric Vachon United States
Andrey A. Komissarov United States
Alexander Hindenburg United States
W. H. Churchill United States
Gregory Kicska relative to Ji Woong Son South Korea Ji Woong Son's profile →
Citations per field
00.5×7.6×
Ji Woong Son · 1×
Citations per year

Countries citing papers authored by Gregory Kicska

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Kicska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gregory Kicska, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregory Kicska Line = papers co-authored together Gregory Kicska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996138
2 2020123
3 200494
4 200290
5 199989
6 200278
7 202061
8 200245
9 200043
10 200326
11 200325
12 201323
13 202021
14 202020
15 200716
16 201715
17 201614
18 201214
19 201913
20 202010

About Gregory Kicska

Gregory Kicska is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Surgery, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (6 papers), Cardiac Imaging and Diagnostics (4 papers), Cardiac Structural Anomalies and Repair (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), HIV/AIDS drug development and treatment (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and COVID-19 and healthcare impacts (3 papers). The work is most often cited by research in Physiology (103 citations), Infectious Diseases (239 citations), Critical Care and Intensive Care Medicine (38 citations), Epidemiology (251 citations) and Molecular Biology (445 citations). Gregory Kicska has collaborated with scholars based in United States, Kenya and France. Frequent co-authors include Vern L. Schramm, Richard H. Furneaux, Peter C. Tyler, Michael J. Rindler, Veronica Colomer, Kami Kim, Gary B. Evans, Thomas O. Staiger, Dushyant V. Sahani and Ken F. Linnau. Their work appears in journals such as Journal of Thoracic Imaging, Journal of Biological Chemistry, International journal of cardiac imaging, Radiology and Journal of the American College of Radiology.

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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