Kyle Gowen

3.0k citations
28 papers · 1.1k · h-index 14

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • Lung Cancer Research Studies
    • Cancer Genomics and Diagnostics

Papers in

Kyle Gowen

26 papers receiving 1.1k citations

Peers

Kyle Gowen
Comparison fields: 5 of 69
  • Oncology 598
  • Cancer Research 266
  • Pathology and Forensic Medicine 225
  • Pulmonary and Respiratory Medicine 391
  • Obstetrics and Gynecology 40
Replace Dean C. Pavlick with:
Dean C. Pavlick United States
Martina Kirchner Germany
Olaf Neumann Germany
Eric M. Sanford United States
Angela N. Bartley United States
Patrick R. Benusiglio France
Kerry D. Lynch United States
Octavio Burgués Spain
Georgina L. Ryland Australia
Samuli Hemmer Finland
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Citations per field
00.5×3.4×
Dean C. Pavlick · 1×
Citations per year

Countries citing papers authored by Kyle Gowen

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Gowen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kyle Gowen, 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 Kyle Gowen Line = papers co-authored together Kyle Gowen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018201
2 2019166
3 2016149
4 2016118
5 201688
6 201676
7 201572
8 201736
9 201633
10 201628
11 201626
12 201515
13 201714
14 201614
15 202013
16 201712
17 201610
18 20175
19 20194
20 20163

About Kyle Gowen

Kyle Gowen is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Lung Cancer Treatments and Mutations (10 papers), Cancer Immunotherapy and Biomarkers (5 papers), Colorectal Cancer Treatments and Studies (5 papers), Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Oncology (598 citations), Cancer Research (266 citations), Pathology and Forensic Medicine (225 citations), Pulmonary and Respiratory Medicine (391 citations) and Obstetrics and Gynecology (40 citations). Kyle Gowen has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Siraj M. Ali, Vincent A. Miller, Jeffrey S. Ross, Alexa B. Schrock, Garrett M. Frampton, David Fabrizio, Philip J. Stephens, Sai‐Hong Ignatius Ou, Samuel J. Klempner and James Sun. Their work appears in journals such as Journal of Clinical Oncology, Lung Cancer, Journal of Thoracic Oncology, Clinical Cancer Research and Journal of Molecular Diagnostics.

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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