Eugene Vaios

463 total citations
31 papers, 246 citations indexed

About

Eugene Vaios is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, Eugene Vaios has authored 31 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 14 papers in Genetics and 11 papers in Oncology. Recurrent topics in Eugene Vaios's work include Brain Metastases and Treatment (19 papers), Glioma Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Eugene Vaios is often cited by papers focused on Brain Metastases and Treatment (19 papers), Glioma Diagnosis and Treatment (14 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Eugene Vaios collaborates with scholars based in United States, Germany and China. Eugene Vaios's co-authors include Jörg Dietrich, Sebastian Winter, Jennifer Y. Wo, Alona Muzikansky, Brian V. Nahed, Philipp Karschnia, Helen A. Shih, Scott Floyd, John P. Kirkpatrick and Kyle J. Lafata and has published in prestigious journals such as Journal of Clinical Oncology, Neurology and The Lancet Oncology.

In The Last Decade

Eugene Vaios

30 papers receiving 239 citations

Peers

Eugene Vaios

PRM

GENET

ONCOL

RNMI

EPIDE

Ekin Ermiş Switzerland

Srishti Abrol United States

Salma Moalla France

Caiqiang Xue China

Barbara Arora United States

Zijian Zhou United States

Annalisa Papa Italy

Sara Ahmed United States

Miguel Ángel Cobos Gil Spain

Bingjie Zheng China

Ekin Ermiş Switzerland

Eugene Vaios

93 ×0.9

PRM

33 ×0.3

GENET

43 ×0.8

ONCOL

69 ×1.6

RNMI

20 ×0.7

EPIDE

Citations per year, relative to Eugene Vaios Eugene Vaios (= 1×) peers Ekin Ermiş

Countries citing papers authored by Eugene Vaios

Since Specialization

Citations

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

Fields of papers citing papers by Eugene Vaios

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugene Vaios

This figure shows the co-authorship network connecting the top 25 collaborators of Eugene Vaios. A scholar is included among the top collaborators of Eugene Vaios 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 Eugene Vaios. Eugene Vaios is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Karschnia, Philipp, Eugene Vaios, Michelle M. Kim, et al.. (2025). Value of artificial intelligence in neuro-oncology. The Lancet Digital Health. 7(9). 100876–100876. 1 indexed citations

Vaios, Eugene, Kristen A. Batich, Sebastian Winter, et al.. (2025). Seizure risk factors and management approaches in patients with brain metastases. Neuro-Oncology Practice. 12(3). 389–400. 1 indexed citations

Vaios, Eugene, Zhenyu Yang, Scott Floyd, et al.. (2025). Radiogenomic explainable AI with neural ordinary differential equation for identifying post‐SRS brain metastasis radionecrosis. Medical Physics. 52(4). 2661–2674. 4 indexed citations

Winter, Sebastian, Kristen A. Batich, Karin Gehring, et al.. (2025). Neurocognitive outcomes in patients with brain metastases: a systematic review. The Lancet Oncology. 26(12). e671–e682.

Vaios, Eugene, Philipp Karschnia, Merit Cudkowicz, et al.. (2024). Artificial intelligence in neurology: opportunities, challenges, and policy implications. Journal of Neurology. 271(5). 2258–2273. 35 indexed citations

Winter, Sebastian, Philipp Karschnia, Eugene Vaios, et al.. (2024). Unique brain injury patterns after proton vs photon radiotherapy for WHO grade 2-3 gliomas. The Oncologist. 29(12). e1748–e1761. 3 indexed citations

Vaios, Eugene, Zhenyu Yang, Yunfeng Cui, et al.. (2024). Dose-Incorporated Deep Ensemble Learning for Improving Brain Metastasis Stereotactic Radiosurgery Outcome Prediction. International Journal of Radiation Oncology*Biology*Physics. 120(2). 603–613. 4 indexed citations

Yang, Zhenyu, Hangjie Ji, Kyle J. Lafata, et al.. (2023). A neural ordinary differential equation model for visualizing deep neural network behaviors in multi‐parametric MRI‐based glioma segmentation. Medical Physics. 50(8). 4825–4838. 14 indexed citations

Vaios, Eugene, Sebastian Winter, Helen A. Shih, et al.. (2023). Novel Mechanisms and Future Opportunities for the Management of Radiation Necrosis in Patients Treated for Brain Metastases in the Era of Immunotherapy. Cancers. 15(9). 2432–2432. 14 indexed citations

10.

Vaios, Eugene, Zhe Wan, Jörg Dietrich, et al.. (2023). Intracranial Control with Combined Dual Immune-Checkpoint Blockade and SRS for Melanoma and NSCLC Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 117(2). S171–S172. 2 indexed citations

11.

Yang, Zhenyu, Kyle J. Lafata, Eugene Vaios, et al.. (2023). Quantifying U‐Net uncertainty in multi‐parametric MRI‐based glioma segmentation by spherical image projection. Medical Physics. 51(3). 1931–1943. 10 indexed citations

12.

Vaios, Eugene, Peter G. Hendrickson, Donna Niedzwiecki, et al.. (2023). Long-Term Intracranial Outcomes With Combination Dual Immune-Checkpoint Blockade and Stereotactic Radiosurgery in Patients With Melanoma and Non-Small Cell Lung Cancer Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 118(5). 1507–1518. 9 indexed citations

13.

Mullikin, Trey C., Scott Floyd, Chris R. Kelsey, et al.. (2023). Long-term outcomes with reduced-dose whole-brain radiotherapy and a stereotactic radiosurgery boost for primary central nervous system lymphoma. Neuro-Oncology Advances. 5(1). vdad097–vdad097. 4 indexed citations

14.

Winter, Sebastian, Eugene Vaios, Helen A. Shih, et al.. (2023). Mitigating Radiotoxicity in the Central Nervous System: Role of Proton Therapy. Current Treatment Options in Oncology. 24(11). 1524–1549. 6 indexed citations

15.

Srinivasan, Ethan, Gloria Broadwater, Eugene Vaios, et al.. (2022). Factors Associated With New-Onset Seizures Following Stereotactic Radiosurgery for Newly Diagnosed Brain Metastases. Advances in Radiation Oncology. 7(6). 101054–101054. 5 indexed citations

16.

Vaios, Eugene, Donna Niedzwiecki, David Carpenter, et al.. (2022). MMAP-07 IMPACT OF SINGLE AND DUAL IMMUNE CHECKPOINT BLOCKADE ON RISK OF RADIATION NECROSIS AMONG PATIENTS WITH BRAIN METASTASES TREATED WITH STEREOTACTIC RADIOSURGERY. Neuro-Oncology Advances. 4(Supplement_1). i16–i16. 2 indexed citations

17.

Grabowski, Matthew M., Ethan Srinivasan, Eugene Vaios, et al.. (2022). Combination laser interstitial thermal therapy plus stereotactic radiotherapy increases time to progression for biopsy-proven recurrent brain metastases. Neuro-Oncology Advances. 4(1). vdac086–vdac086. 12 indexed citations

18.

Vaios, Eugene, Mark Grabowski, Ethan Srinivasan, et al.. (2021). Combining Laser Interstitial Thermal Therapy With SRS Improves Time to Progression for Recurrent SRS-Treated Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 111(3). e583–e584. 1 indexed citations

19.

Vaios, Eugene & Jennifer Y. Wo. (2020). Proton beam radiotherapy for anal and rectal cancers. Journal of Gastrointestinal Oncology. 11(1). 176–186. 21 indexed citations

20.

Winter, Sebastian, Eugene Vaios, Alona Muzikansky, et al.. (2020). Defining Treatment-Related Adverse Effects in Patients with Glioma: Distinctive Features of Pseudoprogression and Treatment-Induced Necrosis. The Oncologist. 25(8). e1221–e1232. 22 indexed citations

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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