Patrick R. Alba
Impact in
- Health Informatics top 10%
- Toxicology top 10%
Papers in
-
- Prostate Cancer Treatment and Research 7
- Prostate Cancer Diagnosis and Treatment 7
-
- Biomedical Text Mining and Ontologies 7
- Co-authors
- Scott L. DuVall (30 shared papers)Olga V. Patterson (20 shared papers)Kelly Peterson (5 shared papers)Julie A. Lynch (19 shared papers)Brent S. Rose (10 shared papers)Kyung Min Lee (11 shared papers)Tori Anglin-Foote (11 shared papers)Benjamin Viernes (7 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)JAMA Network Open (3 papers)JCO Clinical Cancer Informatics (2 papers)Urology (2 papers)Journal of Biomedical Informatics (2 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Patrick R. Alba
37 papers receiving 423 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 17
- Toxicology 25
- Family Practice 11
- Pulmonary and Respiratory Medicine 158
- Oncology 96
Countries citing papers authored by Patrick R. Alba
This map shows the geographic impact of Patrick R. Alba'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 Patrick R. Alba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick R. Alba more than expected).
Fields of papers citing papers by Patrick R. Alba
This network shows the impact of papers produced by Patrick R. Alba. 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 Patrick R. Alba. The network helps show where Patrick R. Alba may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick R. Alba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2019 | 57 | |
| 3 | 2021 | 50 | |
| 4 | 2021 | 44 | |
| 5 | 2020 | 28 | |
| 6 | 2022 | 22 | |
| 7 | 2017 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 16 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 13 | |
| 12 | 2022 | 10 | |
| 13 | 2019 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2019 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Patrick R. Alba
Patrick R. Alba is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Artificial Intelligence, Oncology and Surgery, having authored 45 papers that have together received 427 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Biomedical Text Mining and Ontologies (7 papers), Topic Modeling (5 papers), Global Cancer Incidence and Screening (4 papers), Machine Learning in Healthcare (4 papers), Ethics in Clinical Research (3 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Health Informatics (17 citations), Toxicology (25 citations), Family Practice (11 citations), Pulmonary and Respiratory Medicine (158 citations) and Oncology (96 citations). Patrick R. Alba has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Scott L. DuVall, Olga V. Patterson, Kelly Peterson, Julie A. Lynch, Brent S. Rose, Kyung Min Lee, Tori Anglin-Foote, Benjamin Viernes, Kristine E. Lynch and Evangelia Katsoulakis. Their work appears in journals such as Journal of Clinical Oncology, JAMA Network Open, JCO Clinical Cancer Informatics, Urology and Journal of Biomedical Informatics.
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.