John G. Bothos
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Microtubule and mitosis dynamics 6
- Hippo pathway signaling and YAP/TAZ 2
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Thanos D. Halazonetis (5 shared papers)Matthew K. Summers (4 shared papers)Francis C. Luca (3 shared papers)Daniel M. Scolnick (2 shared papers)Michelle Ottey (1 shared paper)Monica Venere (1 shared paper)Elena S. Stavridi (1 shared paper)Shuang Bai (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Oncogene (2 papers)Journal of Thoracic Oncology (1 paper)Cancer Research (1 paper)Molecular Cancer Research (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
John G. Bothos
14 papers receiving 868 citations
John G. Bothos's Hit Papers
Peers
Comparison fields: 5 of 59
- Genetics 253
- Pathology and Forensic Medicine 300
- Cell Biology 251
- Oncology 308
- Hepatology 38
Countries citing papers authored by John G. Bothos
This map shows the geographic impact of John G. Bothos'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 G. Bothos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John G. Bothos more than expected).
Fields of papers citing papers by John G. Bothos
This network shows the impact of papers produced by John G. Bothos. 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 G. Bothos. The network helps show where John G. Bothos may publish in the future.
Co-authors
The 25 scholars most cited alongside John G. Bothos, 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 | Ibrutinib versus temsirolimus in patients with relapsed or refractory mantle-cell lymphoma: an international, randomised, open-label, phase 3 study Hit paper breakdown → | 2015 | 375 |
| 2 | 2005 | 106 | |
| 3 | 2003 | 80 | |
| 4 | 2003 | 65 | |
| 5 | 2014 | 60 | |
| 6 | 2005 | 50 | |
| 7 | 2021 | 44 | |
| 8 | Inactivating mutations targeting the chfr mitotic checkpoint gene in human lung cancer. | 2003 | 40 |
| 9 | 2013 | 36 | |
| 10 | 2007 | 17 | |
| 11 | 2024 | 10 | |
| 12 | 2019 | 4 | |
| 13 | 2015 | 3 | |
| 14 | 2025 | 1 |
About John G. Bothos
John G. Bothos is a scholar working on Cell Biology, Genetics, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 14 papers that have together received 891 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Genetics (253 citations), Pathology and Forensic Medicine (300 citations), Cell Biology (251 citations), Oncology (308 citations) and Hepatology (38 citations). John G. Bothos has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Thanos D. Halazonetis, Matthew K. Summers, Francis C. Luca, Daniel M. Scolnick, Michelle Ottey, Monica Venere, Elena S. Stavridi, Shuang Bai, Nikola P. Pavletich and Premal H. Patel. Their work appears in journals such as Clinical Cancer Research, Oncogene, Journal of Thoracic Oncology, Cancer Research and Molecular Cancer Research.
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.