P. Urbas
Impact in
- Biotechnology top 1%
- Microbial Inactivation Methods
- Transgenic Plants and Applications
- Immunology top 10%
- Immunotherapy and Immune Responses
Papers in
- Oncology 6
- Cancer Treatment and Pharmacology 3
-
- Melanoma and MAPK Pathways 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Cancer therapeutics and mechanisms 1
- Co-authors
- Adil Daud (11 shared papers)Ronald C. DeConti (9 shared papers)Vernon K. Sondak (8 shared papers)Stephanie Andrews (9 shared papers)Adam I. Riker (3 shared papers)Pamela N. Münster (3 shared papers)Daniel M. Sullivan (2 shared papers)Jane L. Messina (3 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)British Journal of Cancer (2 papers)Clinical Cancer Research (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)Journal of Immunotherapy (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
P. Urbas
12 papers receiving 805 citations
P. Urbas's Hit Papers
Peers
Comparison fields: 5 of 60
- Biotechnology 384
- Immunology 268
- Oncology 235
- Physiology 21
- Biomedical Engineering 198
Countries citing papers authored by P. Urbas
This map shows the geographic impact of P. Urbas'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 P. Urbas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Urbas more than expected).
Fields of papers citing papers by P. Urbas
This network shows the impact of papers produced by P. Urbas. 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 P. Urbas. The network helps show where P. Urbas may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Urbas, 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 | Phase I Trial of Interleukin-12 Plasmid Electroporation in Patients With Metastatic Melanoma Hit paper breakdown → | 2008 | 511 |
| 2 | 2008 | 135 | |
| 3 | 2005 | 58 | |
| 4 | 2011 | 33 | |
| 5 | 2010 | 31 | |
| 6 | 2010 | 17 | |
| 7 | 2010 | 13 | |
| 8 | 2009 | 8 | |
| 9 | 2008 | 8 | |
| 10 | 2009 | 6 | |
| 11 | 2006 | 2 | |
| 12 | 2010 | 2 |
About P. Urbas
P. Urbas is a scholar working on Oncology, Molecular Biology, Infectious Diseases, Hematology and Biotechnology, having authored 12 papers that have together received 824 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (3 papers), Microbial Inactivation Methods (2 papers), Immunotherapy and Immune Responses (2 papers), Antifungal resistance and susceptibility (2 papers), Melanoma and MAPK Pathways (2 papers), Multiple Myeloma Research and Treatments (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Biotechnology (384 citations), Immunology (268 citations), Oncology (235 citations), Physiology (21 citations) and Biomedical Engineering (198 citations). P. Urbas has collaborated with scholars based in United States and Germany. Frequent co-authors include Adil Daud, Ronald C. DeConti, Vernon K. Sondak, Stephanie Andrews, Adam I. Riker, Pamela N. Münster, Daniel M. Sullivan, Jane L. Messina, Kenneth E. Ugen and Richard Heller. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer, Clinical Cancer Research, Cancer Chemotherapy and Pharmacology and Journal of Immunotherapy.
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.