Stephen Grupp
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
- Oncology 7
- CAR-T cell therapy research 7
-
- Neuroblastoma Research and Treatments 6
- Co-authors
- Richard C. Mulligan (1 shared paper)Michael Rosenzweig (1 shared paper)G Paradis (1 shared paper)R. Paul Johnson (1 shared paper)MaryAnn DeMaria (1 shared paper)Hyung L. Kim (1 shared paper)Colin A. Sieff (1 shared paper)Douglas Marks (1 shared paper)
- Journals
- Blood (4 papers)Pediatric Blood & Cancer (2 papers)Journal of Pediatric Hematology/Oncology (2 papers)Nature Medicine (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Stephen Grupp
19 papers receiving 1.6k citations
Stephen Grupp's Hit Papers
Peers
Comparison fields: 5 of 82
- Hematology 474
- Genetics 301
- Oncology 600
- Immunology 343
- Molecular Biology 529
Countries citing papers authored by Stephen Grupp
This map shows the geographic impact of Stephen Grupp'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 Stephen Grupp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Grupp more than expected).
Fields of papers citing papers by Stephen Grupp
This network shows the impact of papers produced by Stephen Grupp. 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 Stephen Grupp. The network helps show where Stephen Grupp may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Grupp, 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 | Dye efflux studies suggest that hematopoietic stem cells expressing low or undetectable levels of CD34 antigen exist in multiple species Hit paper breakdown → | 1997 | 878 |
| 2 | 2016 | 200 | |
| 3 | 2007 | 103 | |
| 4 | 2018 | 103 | |
| 5 | 2015 | 50 | |
| 6 | 2016 | 46 | |
| 7 | 2003 | 38 | |
| 8 | 2004 | 32 | |
| 9 | 2013 | 31 | |
| 10 | 2007 | 31 | |
| 11 | 2000 | 26 | |
| 12 | 2021 | 24 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2008 | 13 | |
| 16 | Angiogenesis inhibitor TNP-470 during bone marrow transplant: safety in a preclinical model. | 2001 | 5 |
| 17 | 2016 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 1998 | 1 |
About Stephen Grupp
Stephen Grupp is a scholar working on Oncology, Neurology, Hematology, Immunology and Molecular Biology, having authored 19 papers that have together received 1.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Neuroblastoma Research and Treatments (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Immunotherapy and Immune Responses (4 papers), Virus-based gene therapy research (4 papers), T-cell and B-cell Immunology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Hematology (474 citations), Genetics (301 citations), Oncology (600 citations), Immunology (343 citations) and Molecular Biology (529 citations). Stephen Grupp has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Richard C. Mulligan, Michael Rosenzweig, G Paradis, R. Paul Johnson, MaryAnn DeMaria, Hyung L. Kim, Colin A. Sieff, Douglas Marks, Margaret A. Goodell and Shannon L. Maude. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Journal of Pediatric Hematology/Oncology, Nature Medicine and Bone Marrow Transplantation.
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.