John L. Villano

10.3k citations
141 papers · 5.0k indexed · 3 hit papers · h-index 34

John L. Villano

136 papers receiving 4.9k citations

Hit Papers

NRG Oncology/RTOG1205...1042011202620162021250500750

Peers

John L. Villano
Comparison fields: 5 of 142
  • Genetics 2.6k
  • Neurology 1.1k
  • Cancer Research 623
  • Pulmonary and Respiratory Medicine 1.2k
  • Oncology 819
Replace Fábio M. Iwamoto with:
Fábio M. Iwamoto United States
Jan Drappatz United States
Andrew D. Norden United States
Maryam Fouladi United States
Yoshitaka Narita Japan
Alberto Broniscer United States
Richard G. Grundy United Kingdom
Chitra Sarkar India
Mathilde C.M. Kouwenhoven Netherlands
Toshihiro Kumabe Japan
John L. Villano relative to Fábio M. Iwamoto United States Fábio M. Iwamoto's profile →
Citations per field
00.5×1.5×2.0×
Fábio M. Iwamoto · 1×
Citations per year

Countries citing papers authored by John L. Villano

Since Specialization
Citations

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

Fields of papers citing papers by John L. Villano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John L. Villano. 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 John L. Villano. The network helps show where John L. Villano may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20241
4 20241
5 20243
6 20235
7 202221
8
NRG Oncology/RTOG1205: A Randomized Phase II Trial of Concurrent Bevacizumab and Reirradiation Versus Bevacizumab Alone as Treatment for Recurrent Glioblastomabreakdown →
2022104
9 202118
10 20210
11 201916
12 201818
13 201711
14 201710
15 20149
16 201347
17 20128
18 20113
19 20113
20 200889

About John L. Villano

John L. Villano is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 141 papers that have together received 5.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (71 papers), Brain Metastases and Treatment (36 papers), Meningioma and schwannoma management (16 papers), Lung Cancer Treatments and Mutations (15 papers), Cancer Genomics and Diagnostics (14 papers), Lung Cancer Research Studies (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Cancer Treatment and Pharmacology (10 papers). The work is most often cited by research in Genetics (2.6k citations), Neurology (1.1k citations) and Cancer Research (623 citations). John L. Villano has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Therese A. Dolecek, Bridget J. McCarthy, Jigisha P. Thakkar, Donita Lightner, Craig Horbinski, Quinn T. Ostrom, Jill S. Barnholtz‐Sloan, Matthew Koshy, Linda R. Bressler and Habib Shaikh.

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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