Karl Staser
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
Papers in
- Oncology 14
- CAR-T cell therapy research 9
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- Viral Infectious Diseases and Gene Expression in Insects 4
- Co-authors
- Feng‐Chun Yang (11 shared papers)D. Wade Clapp (5 shared papers)John F. DiPersio (13 shared papers)Jaebok Choi (7 shared papers)Mark A. Schroeder (4 shared papers)Su-Jung Park (5 shared papers)Steven D. Rhodes (7 shared papers)Xianlin Yang (5 shared papers)
- Journals
- Blood (4 papers)Journal of the American Academy of Dermatology (3 papers)Leukemia (3 papers)Experimental Hematology (2 papers)Journal of Bone and Mineral Research (2 papers)
- Partner nations
- United StatesItalyPuerto Rico
In The Last Decade
Karl Staser
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 78
- Hematology 199
- Neurology 257
- Immunology 256
- Oncology 307
- Genetics 79
Countries citing papers authored by Karl Staser
This map shows the geographic impact of Karl Staser'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 Karl Staser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karl Staser more than expected).
Fields of papers citing papers by Karl Staser
This network shows the impact of papers produced by Karl Staser. 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 Karl Staser. The network helps show where Karl Staser may publish in the future.
Co-authors
The 25 scholars most cited alongside Karl Staser, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 111 | |
| 2 | 2010 | 95 | |
| 3 | 2014 | 81 | |
| 4 | 2020 | 73 | |
| 5 | 2017 | 73 | |
| 6 | 2022 | 71 | |
| 7 | 2011 | 69 | |
| 8 | 2018 | 67 | |
| 9 | 2017 | 45 | |
| 10 | 2012 | 41 | |
| 11 | 2013 | 37 | |
| 12 | 2012 | 35 | |
| 13 | 2019 | 33 | |
| 14 | 2023 | 25 | |
| 15 | 2010 | 25 | |
| 16 | 2016 | 22 | |
| 17 | 2015 | 20 | |
| 18 | 2012 | 20 | |
| 19 | 2018 | 19 | |
| 20 | 2021 | 16 |
About Karl Staser
Karl Staser is a scholar working on Oncology, Molecular Biology, Immunology, Hematology and Genetics, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), CAR-T cell therapy research (9 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Virus-based gene therapy research (5 papers), Sarcoma Diagnosis and Treatment (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Hematology (199 citations), Neurology (257 citations), Immunology (256 citations), Oncology (307 citations) and Genetics (79 citations). Karl Staser has collaborated with scholars based in United States, Italy and Puerto Rico. Frequent co-authors include Feng‐Chun Yang, D. Wade Clapp, John F. DiPersio, Jaebok Choi, Mark A. Schroeder, Su-Jung Park, Steven D. Rhodes, Xianlin Yang, Jin Yuan and Matthew Cooper. Their work appears in journals such as Blood, Journal of the American Academy of Dermatology, Leukemia, Experimental Hematology and Journal of Bone and Mineral Research.
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.