Ehab Billatos
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Molecular Biology
- Cancer Research
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Avrum SpiraMarc E. LenburgSheila RussoJessica VickYuriy O. AlekseyevVictor E. VelculescuDenise R. AberleGeorge R. Washko
- Topics
- Lung Cancer Diagnosis and Treatment (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Lung Cancer Treatments and Mutations (5 papers)
- Journals
- Nature GeneticsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesNetherlands
In The Last Decade
Ehab Billatos
19 papers receiving 187 citations
Peers
Comparison fields: 5 of 64
- Pulmonary and Respiratory Medicine 66
- Biomedical Engineering 56
- Molecular Biology 48
- Cancer Research 44
- Radiology, Nuclear Medicine and Imaging 30
Countries citing papers authored by Ehab Billatos
This map shows the geographic impact of Ehab Billatos'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 Ehab Billatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehab Billatos more than expected).
Fields of papers citing papers by Ehab Billatos
This network shows the impact of papers produced by Ehab Billatos. 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 Ehab Billatos. The network helps show where Ehab Billatos may publish in the future.
Co-authorship network of co-authors of Ehab Billatos
This figure shows the co-authorship network connecting the top 25 collaborators of Ehab Billatos. A scholar is included among the top collaborators of Ehab Billatos 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 Ehab Billatos. Ehab Billatos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 30 | |
| 6 | 24 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 36 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 17 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 19 | |
| 20 | 28 |
About Ehab Billatos
Ehab Billatos is a scholar working on Microbiology, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 21 papers that have together received 190 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Cancer Research (44 citations), Pulmonary and Respiratory Medicine (66 citations) and Condensed Matter Physics (18 citations). Ehab Billatos has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Avrum Spira, Marc E. Lenburg, Sheila Russo, Jessica Vick, Yuriy O. Alekseyev, Victor E. Velculescu, Denise R. Aberle, George R. Washko, James R. White and Stephen Cristiano. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.