Gabriel P. Haas
- Pulmonary and Respiratory Medicine top 0.5%
- Surgery top 2%
- Oncology top 2%
- Molecular Biology top 10%
- Rheumatology top 0.5%
- Co-authors
- Wael SakrJohn D. CrissmanJ. Edson PontesChing Y. WangNicolas Barry DelongchampsDavid J. GrignonGustavo de la RozaGilda G. Hillman
- Topics
- Prostate Cancer Treatment and Research (64 papers)Prostate Cancer Diagnosis and Treatment (48 papers)Bladder and Urothelial Cancer Treatments (26 papers)
- Journals
- New England Journal of MedicineJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesFranceJapan
In The Last Decade
Gabriel P. Haas
161 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Pulmonary and Respiratory Medicine 3.3k
- Surgery 1.6k
- Oncology 1.3k
- Molecular Biology 1.1k
- Rheumatology 1.0k
Countries citing papers authored by Gabriel P. Haas
This map shows the geographic impact of Gabriel P. Haas'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 Gabriel P. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel P. Haas more than expected).
Fields of papers citing papers by Gabriel P. Haas
This network shows the impact of papers produced by Gabriel P. Haas. 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 Gabriel P. Haas. The network helps show where Gabriel P. Haas may publish in the future.
Co-authorship network of co-authors of Gabriel P. Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel P. Haas. A scholar is included among the top collaborators of Gabriel P. Haas 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 Gabriel P. Haas. Gabriel P. Haas 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 | 4 | |
| 3 | Exploiting Directly-Attached NVMe Arrays in DBMS. | 5 |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 30 | |
| 7 | 8 | |
| 8 | 39 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 30 | |
| 12 | 10 | |
| 13 | 40 | |
| 14 | 52 | |
| 15 | 91 | |
| 16 | 1 | |
| 17 | 153 | |
| 18 | 5 | |
| 19 | 16 | |
| 20 | 18 |
About Gabriel P. Haas
Gabriel P. Haas is a scholar working on Pulmonary and Respiratory Medicine, Rheumatology and Oncology, having authored 167 papers that have together received 5.8k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (64 papers), Prostate Cancer Diagnosis and Treatment (48 papers) and Bladder and Urothelial Cancer Treatments (26 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (3.3k citations), Urology (448 citations) and Rheumatology (1.0k citations). Gabriel P. Haas has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Wael Sakr, John D. Crissman, J. Edson Pontes, Ching Y. Wang, Nicolas Barry Delongchamps, David J. Grignon, Gustavo de la Roza, Gilda G. Hillman, Peter Haas and Steve Landas. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.