S Heimfeld
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
- Hematology 24
- Hematopoietic Stem Cell Transplantation 22
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 4
- Genetics 9
- Virus-based gene therapy research 7
- Mesenchymal stem cell research 5
- Co-authors
- Irving L. Weissman (7 shared papers)Lawrence Smith (1 shared paper)Gerald J. Spangrude (3 shared papers)Zhiquan Shu (1 shared paper)Dayong Y. Gao (1 shared paper)Matt van de Rijn (1 shared paper)RJ Berenson (2 shared papers)W. Brugger (2 shared papers)
- Journals
- Bone Marrow Transplantation (9 papers)Blood (6 papers)Proceedings of the National Academy of Sciences (4 papers)Leukemia (3 papers)The Journal of Experimental Medicine (3 papers)
- Partner nations
- United StatesSouth AfricaFrance
In The Last Decade
S Heimfeld
42 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 101
- Hematology 1.2k
- Genetics 461
- Immunology 695
- Oncology 462
- Genetics 405
Countries citing papers authored by S Heimfeld
This map shows the geographic impact of S Heimfeld'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 S Heimfeld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Heimfeld more than expected).
Fields of papers citing papers by S Heimfeld
This network shows the impact of papers produced by S Heimfeld. 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 S Heimfeld. The network helps show where S Heimfeld may publish in the future.
Co-authors
The 25 scholars most cited alongside S Heimfeld, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 312 | |
| 2 | 1993 | 288 | |
| 3 | 1989 | 226 | |
| 4 | 2013 | 180 | |
| 5 | 1996 | 129 | |
| 6 | 1994 | 107 | |
| 7 | 1994 | 100 | |
| 8 | 2005 | 90 | |
| 9 | 2003 | 84 | |
| 10 | 1988 | 82 | |
| 11 | 1991 | 77 | |
| 12 | 1989 | 66 | |
| 13 | 1991 | 61 | |
| 14 | 1995 | 53 | |
| 15 | 2003 | 53 | |
| 16 | 1996 | 53 | |
| 17 | 2005 | 51 | |
| 18 | 2000 | 45 | |
| 19 | 2003 | 43 | |
| 20 | 1999 | 42 |
About S Heimfeld
S Heimfeld is a scholar working on Hematology, Genetics, Oncology, Immunology and Genetics, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (22 papers), Virus-based gene therapy research (7 papers), Cancer Cells and Metastasis (5 papers), Mesenchymal stem cell research (5 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Acute Myeloid Leukemia Research (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (461 citations), Immunology (695 citations), Oncology (462 citations) and Genetics (405 citations). S Heimfeld has collaborated with scholars based in United States, South Africa and France. Frequent co-authors include Irving L. Weissman, Lawrence Smith, Gerald J. Spangrude, Zhiquan Shu, Dayong Y. Gao, Matt van de Rijn, RJ Berenson, W. Brugger, Roland Mertelsmann and Lothar Kanz. Their work appears in journals such as Bone Marrow Transplantation, Blood, Proceedings of the National Academy of Sciences, Leukemia 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.