Paul Schwarzenberger
- Immunology top 0.5%
- Oncology top 1%
- Molecular Biology top 5%
- Epidemiology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Jay K. KollsWeitao HuangPaul L. FidelLi NaJudd E. ShellitoPeng YePeter OliverJill R. Schurr
- Topics
- Virus-based gene therapy research (21 papers)Cancer Immunotherapy and Biomarkers (19 papers)Cancer Research and Treatments (15 papers)
- Cited by
- ImmunologyOncologyDermatology
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesChinaFrance
In The Last Decade
Paul Schwarzenberger
111 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 4.1k
- Oncology 1.7k
- Molecular Biology 1.4k
- Epidemiology 1.1k
- Pulmonary and Respiratory Medicine 755
Countries citing papers authored by Paul Schwarzenberger
This map shows the geographic impact of Paul Schwarzenberger'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 Paul Schwarzenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Schwarzenberger more than expected).
Fields of papers citing papers by Paul Schwarzenberger
This network shows the impact of papers produced by Paul Schwarzenberger. 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 Paul Schwarzenberger. The network helps show where Paul Schwarzenberger may publish in the future.
Co-authorship network of co-authors of Paul Schwarzenberger
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Schwarzenberger. A scholar is included among the top collaborators of Paul Schwarzenberger 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 Paul Schwarzenberger. Paul Schwarzenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Pembrolizumab Plus Chemotherapy in Squamous Non–Small-Cell Lung Cancer: 5-Year Update of the Phase III KEYNOTE-407 Studybreakdown → | 233 |
| 2 | 8 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 27 | |
| 6 | 35 | |
| 7 | 38 | |
| 8 | 390 | |
| 9 | 284 | |
| 10 | 15 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 24 | |
| 15 | 330 | |
| 16 | Requirement of Interleukin 17 Receptor Signaling for Lung Cxc Chemokine and Granulocyte Colony-Stimulating Factor Expression, Neutrophil Recruitment, and Host Defensebreakdown → | 1220 |
| 17 | 216 | |
| 18 | 10 | |
| 19 | 31 | |
| 20 | 269 |
About Paul Schwarzenberger
Paul Schwarzenberger is a scholar working on Oncology, Biotechnology and Immunology, having authored 112 papers that have together received 7.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), Cancer Immunotherapy and Biomarkers (19 papers) and Cancer Research and Treatments (15 papers). The work is most often cited by research in Immunology (4.1k citations), Oncology (1.7k citations) and Dermatology (486 citations). Paul Schwarzenberger has collaborated with scholars based in United States, China and France. Frequent co-authors include Jay K. Kolls, Weitao Huang, Paul L. Fidel, Li Na, Judd E. Shellito, Peng Ye, Peter Oliver, Jill R. Schurr, G. J. Bagby and Erik Lubberts. Their work appears in journals such as Journal of Biological Chemistry, 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.