Joseph Montecalvo
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 5%
- Epidemiology top 10%
- Molecular Biology
- Cancer Research top 10%
- Co-authors
- Natasha RekhtmanWilliam D. TravisCharles M. RudinJason C. ChangMarc LadanyiPrasad S. AdusumilliMaria E. ArcilaAi Ni
- 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
- Journal of Clinical OncologyThe Lancet OncologyInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesJapanCanada
In The Last Decade
Joseph Montecalvo
26 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Pulmonary and Respiratory Medicine 757
- Oncology 682
- Epidemiology 330
- Molecular Biology 318
- Cancer Research 180
Countries citing papers authored by Joseph Montecalvo
This map shows the geographic impact of Joseph Montecalvo'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 Joseph Montecalvo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Montecalvo more than expected).
Fields of papers citing papers by Joseph Montecalvo
This network shows the impact of papers produced by Joseph Montecalvo. 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 Joseph Montecalvo. The network helps show where Joseph Montecalvo may publish in the future.
Co-authorship network of co-authors of Joseph Montecalvo
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Montecalvo. A scholar is included among the top collaborators of Joseph Montecalvo 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 Joseph Montecalvo. Joseph Montecalvo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | SCLC Subtypes Defined by ASCL1, NEUROD1, POU2F3, and YAP1: A Comprehensive Immunohistochemical and Histopathologic Characterizationbreakdown → | 301 |
| 8 | 55 | |
| 9 | 11 | |
| 10 | 172 | |
| 11 | 4 | |
| 12 | 23 | |
| 13 | 26 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | 47 | |
| 17 | 10 | |
| 18 | Cabozantinib in patients with advanced RET-rearranged non-small-cell lung cancer: an open-label, single-centre, phase 2, single-arm trialbreakdown → | 327 |
| 19 | 1 | |
| 20 | 43 |
About Joseph Montecalvo
Joseph Montecalvo is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Transplantation, having authored 28 papers that have together received 1.2k 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 Oncology (682 citations), Pulmonary and Respiratory Medicine (757 citations) and Cancer Research (180 citations). Joseph Montecalvo has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Natasha Rekhtman, William D. Travis, Charles M. Rudin, Jason C. Chang, Marc Ladanyi, Prasad S. Adusumilli, Maria E. Arcila, Ai Ni, Mark G. Kris and Gregory J. Riely. Their work appears in journals such as Journal of Clinical Oncology, The Lancet Oncology and International Journal of Radiation Oncology*Biology*Physics.
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.