Karl Staser
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Neurology top 5%
- Neurofibromatosis and Schwannoma Cases
- Neuroblastoma Research and Treatments
Papers in
- Hematology 11
- Hematopoietic Stem Cell Transplantation 9
- Immunology 13
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 7
- Co-authors
- Feng‐Chun YangD. Wade ClappJohn F. DiPersioJaebok ChoiMark A. SchroederSu-Jung ParkSteven D. RhodesJin Yuan
- Journals
- Blood (4 papers)Leukemia (3 papers)Journal of the American Academy of Dermatology (3 papers)Journal of Investigative Dermatology (2 papers)Experimental Hematology (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Karl Staser
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Hematology 211
- Neurology 261
- Immunology 288
- Oncology 332
- Genetics 89
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 24 | |
| 5 | 2021 | 16 | |
| 6 | 2020 | 72 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 66 | |
| 9 | 2018 | 1 | |
| 10 | 2018 | 1 | |
| 11 | 2018 | 19 | |
| 12 | 2017 | 70 | |
| 13 | Nf1 haploinsufficiency alters myeloid lineage commitment and function, leading to deranged skeletal homeostasis | 2015 | 1 |
| 14 | 2015 | 0 | |
| 15 | 2014 | 79 | |
| 16 | 2012 | 20 | |
| 17 | 2012 | 35 | |
| 18 | Peer Reviewed: Dietary Behaviors Associated With Fruit and Vegetable Consumption, Marion County, Indiana, 2005 | 2011 | 1 |
| 19 | 2011 | 4 | |
| 20 | 2010 | 25 |
About Karl Staser
Karl Staser is a scholar working on Hematology, Immunology, Oncology, Neurology and Dermatology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Neurofibromatosis and Schwannoma Cases (7 papers), Virus-based gene therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Cutaneous lymphoproliferative disorders research (4 papers). The work is most often cited by research in Hematology (211 citations), Neurology (261 citations), Immunology (288 citations), Oncology (332 citations) and Genetics (89 citations). Karl Staser has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Feng‐Chun Yang, D. Wade Clapp, John F. DiPersio, Jaebok Choi, Mark A. Schroeder, Su-Jung Park, Steven D. Rhodes, Jin Yuan, Xianlin Yang and Matthew Cooper. Their work appears in journals such as Blood, Leukemia, Journal of the American Academy of Dermatology, Journal of Investigative Dermatology and Experimental Hematology.
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.