John L. Villano
- Genetics top 0.2%
- Glioma Diagnosis and Treatment 71
- Neurology top 1%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 14
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- Brain Metastases and Treatment 36
- Lung Cancer Treatments and Mutations 15
- Oncology top 5%
- Lung Cancer Research Studies 11
- Cancer Treatment and Pharmacology 10
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- Meningioma and schwannoma management 16
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- Radiomics and Machine Learning in Medical Imaging 10
- Co-authors
- Therese A. DolecekBridget J. McCarthyJigisha P. ThakkarDonita LightnerCraig HorbinskiQuinn T. OstromJill S. Barnholtz‐SloanMatthew Koshy
- Cited by
- GeneticsNeurologyCancer Research
- Partner nations
- United StatesCanadaSpain
In The Last Decade
John L. Villano
136 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Genetics 2.6k
- Neurology 1.1k
- Cancer Research 623
- Pulmonary and Respiratory Medicine 1.2k
- Oncology 819
Countries citing papers authored by John L. Villano
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 21 | |
| 8 | NRG Oncology/RTOG1205: A Randomized Phase II Trial of Concurrent Bevacizumab and Reirradiation Versus Bevacizumab Alone as Treatment for Recurrent Glioblastomabreakdown → | 2022 | 104 |
| 9 | 2021 | 18 | |
| 10 | 2021 | 0 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 18 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 10 | |
| 15 | 2014 | 9 | |
| 16 | 2013 | 47 | |
| 17 | 2012 | 8 | |
| 18 | 2011 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2008 | 89 |
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.