Jeff Wiezorek
- Oncology top 2%
- Pathology and Forensic Medicine top 2%
- Molecular Biology
- Electrical and Electronic Engineering
- Immunology top 10%
- Co-authors
- William Y. GoSattva S. NeelapuLynn NavaleJason R. WestinÉric Van Den NesteSami BoussettaAnnette E. HayJohn Kuruvilla
- Topics
- CAR-T cell therapy research (20 papers)Biosimilars and Bioanalytical Methods (7 papers)Lymphoma Diagnosis and Treatment (7 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Jeff Wiezorek
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Oncology 1.4k
- Pathology and Forensic Medicine 743
- Molecular Biology 322
- Electrical and Electronic Engineering 295
- Immunology 281
Countries citing papers authored by Jeff Wiezorek
This map shows the geographic impact of Jeff Wiezorek'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 Jeff Wiezorek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Wiezorek more than expected).
Fields of papers citing papers by Jeff Wiezorek
This network shows the impact of papers produced by Jeff Wiezorek. 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 Jeff Wiezorek. The network helps show where Jeff Wiezorek may publish in the future.
Co-authorship network of co-authors of Jeff Wiezorek
This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Wiezorek. A scholar is included among the top collaborators of Jeff Wiezorek 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 Jeff Wiezorek. Jeff Wiezorek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 studybreakdown → | 1042 |
| 4 | Phase 1 Results of ZUMA-1: A Multicenter Study of KTE-C19 Anti-CD19 CAR T Cell Therapy in Refractory Aggressive Lymphomabreakdown → | 463 |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 21 | |
| 11 | 23 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 7 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 20 | |
| 20 | 7 |
About Jeff Wiezorek
Jeff Wiezorek is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (20 papers), Biosimilars and Bioanalytical Methods (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). The work is most often cited by research in Oncology (1.4k citations), Pathology and Forensic Medicine (743 citations) and Genetics (181 citations). Jeff Wiezorek has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include William Y. Go, Sattva S. Neelapu, Lynn Navale, Jason R. Westin, Éric Van Den Neste, Sami Boussetta, Annette E. Hay, John Kuruvilla, Christian Gisselbrecht and Matthew J. Maurer. Their work appears in journals such as Blood, Cancer Research and Annals of 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.