Walter J. Urba
- Oncology top 0.2%
- Immunology top 0.2%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 1%
- Pathology and Forensic Medicine top 1%
- Co-authors
- Bernard A. FoxHong‐Ming HuDan L. LongoJohn W. SmithBrendan D. CurtiSteven O’DayRonald G. SteisOmid Hamid
- Topics
- Immunotherapy and Immune Responses (96 papers)Cancer Immunotherapy and Biomarkers (75 papers)CAR-T cell therapy research (62 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Walter J. Urba
221 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Oncology 5.9k
- Immunology 5.5k
- Molecular Biology 2.6k
- Pulmonary and Respiratory Medicine 1.7k
- Pathology and Forensic Medicine 1.1k
Countries citing papers authored by Walter J. Urba
This map shows the geographic impact of Walter J. Urba'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 Walter J. Urba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Walter J. Urba more than expected).
Fields of papers citing papers by Walter J. Urba
This network shows the impact of papers produced by Walter J. Urba. 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 Walter J. Urba. The network helps show where Walter J. Urba may publish in the future.
Co-authorship network of co-authors of Walter J. Urba
This figure shows the co-authorship network connecting the top 25 collaborators of Walter J. Urba. A scholar is included among the top collaborators of Walter J. Urba 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 Walter J. Urba. Walter J. Urba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 49 | |
| 4 | 114 | |
| 5 | 120 | |
| 6 | 68 | |
| 7 | 234 | |
| 8 | Results from an Integrated Safety Analysis of Urelumab, an Agonist Anti-CD137 Monoclonal Antibodybreakdown → | 281 |
| 9 | 39 | |
| 10 | 115 | |
| 11 | 246 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 21 | |
| 15 | 56 | |
| 16 | 17 | |
| 17 | 15 | |
| 18 | 315 | |
| 19 | 87 | |
| 20 | Polyinosinic-polycytidylic acid complexed with poly-L-lysine and carboxymethylcellulose in combination with interleukin 2 in patients with cancer: clinical and immunological effects. | 45 |
About Walter J. Urba
Walter J. Urba is a scholar working on Immunology, Oncology and Biotechnology, having authored 223 papers that have together received 10.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (96 papers), Cancer Immunotherapy and Biomarkers (75 papers) and CAR-T cell therapy research (62 papers). The work is most often cited by research in Immunology (5.5k citations), Oncology (5.9k citations) and Pathology and Forensic Medicine (1.1k citations). Walter J. Urba has collaborated with scholars based in United States, China and France. Frequent co-authors include Bernard A. Fox, Hong‐Ming Hu, Dan L. Longo, John W. Smith, Brendan D. Curti, Steven O’Day, Ronald G. Steis, Omid Hamid, Jeffrey W. Clark and Andrew D. Weinberg. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Journal of Clinical Oncology.
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.