Matthew A. Gubens
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Immunology top 5%
- Molecular Biology
- Cancer Research top 5%
- Co-authors
- Amita PatnaikLeena GandhiShirish M. GadgeelJames StevensonLecia V. SequistHossein BorghaeiCorey J. LangerJames Chih‐Hsin Yang
- Topics
- Lung Cancer Treatments and Mutations (60 papers)Cancer Immunotherapy and Biomarkers (43 papers)Lung Cancer Diagnosis and Treatment (28 papers)
- Partner nations
- United StatesSouth KoreaTaiwan
In The Last Decade
Matthew A. Gubens
97 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Oncology 3.4k
- Pulmonary and Respiratory Medicine 2.3k
- Immunology 754
- Molecular Biology 565
- Cancer Research 524
Countries citing papers authored by Matthew A. Gubens
This map shows the geographic impact of Matthew A. Gubens'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 Matthew A. Gubens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew A. Gubens more than expected).
Fields of papers citing papers by Matthew A. Gubens
This network shows the impact of papers produced by Matthew A. Gubens. 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 Matthew A. Gubens. The network helps show where Matthew A. Gubens may publish in the future.
Co-authorship network of co-authors of Matthew A. Gubens
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Gubens. A scholar is included among the top collaborators of Matthew A. Gubens 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 Matthew A. Gubens. Matthew A. Gubens 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 21 | |
| 7 | 26 | |
| 8 | 169 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 143 | |
| 15 | 123 | |
| 16 | 58 | |
| 17 | 104 | |
| 18 | 28 | |
| 19 | Docetaxel in the treatment of non-small cell lung carcinoma: an update and analysis | 2 |
| 20 | 139 |
About Matthew A. Gubens
Matthew A. Gubens is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 100 papers that have together received 4.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (60 papers), Cancer Immunotherapy and Biomarkers (43 papers) and Lung Cancer Diagnosis and Treatment (28 papers). The work is most often cited by research in Oncology (3.4k citations), Pulmonary and Respiratory Medicine (2.3k citations) and Immunology (754 citations). Matthew A. Gubens has collaborated with scholars based in United States, South Korea and Taiwan. Frequent co-authors include Amita Patnaik, Leena Gandhi, Shirish M. Gadgeel, James Stevenson, Lecia V. Sequist, Hossein Borghaei, Corey J. Langer, James Chih‐Hsin Yang, Shadia I. Jalal and Steven Powell. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American College of Cardiology and PLoS ONE.
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.