FR Appelbaum
Impact in
- Hematology top 0.02%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 0.5%
Papers in
- Hematology 151
- Hematopoietic Stem Cell Transplantation 137
- Acute Myeloid Leukemia Research 33
- Oncology 57
- Neutropenia and Cancer Infections 25
- Polyomavirus and related diseases 18
- Co-authors
- Rainer Storb (84 shared papers)CD Buckner (56 shared papers)Claudio Anasetti (34 shared papers)Jack W. Singer (45 shared papers)H. Joachim Deeg (59 shared papers)K Doney (25 shared papers)JE Sanders (28 shared papers)Thomas Ed (23 shared papers)
- Journals
- Blood (170 papers)Bone Marrow Transplantation (10 papers)Leukemia (4 papers)Stem Cells (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesSouth AfricaAustralia
In The Last Decade
FR Appelbaum
186 papers receiving 11.9k citations
FR Appelbaum's Hit Papers
Peers
Comparison fields: 5 of 121
- Hematology 9.3k
- Transplantation 628
- Genetics 2.0k
- Immunology 3.4k
- Oncology 3.4k
Countries citing papers authored by FR Appelbaum
This map shows the geographic impact of FR Appelbaum'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 FR Appelbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites FR Appelbaum more than expected).
Fields of papers citing papers by FR Appelbaum
This network shows the impact of papers produced by FR Appelbaum. 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 FR Appelbaum. The network helps show where FR Appelbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside FR Appelbaum, 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 189 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 491 | |
| 2 | 1995 | 465 | |
| 3 | A retrospective analysis of therapy for acute graft-versus-host disease: secondary treatment Hit paper breakdown → | 1991 | 456 |
| 4 | 1985 | 418 | |
| 5 | 1990 | 395 | |
| 6 | 1989 | 377 | |
| 7 | 1990 | 354 | |
| 8 | 1990 | 336 | |
| 9 | 1988 | 273 | |
| 10 | 1992 | 249 | |
| 11 | 1996 | 242 | |
| 12 | 1994 | 238 | |
| 13 | 1988 | 230 | |
| 14 | 1988 | 222 | |
| 15 | 1994 | 208 | |
| 16 | 1995 | 196 | |
| 17 | 1978 | 194 | |
| 18 | 1995 | 194 | |
| 19 | 1992 | 178 | |
| 20 | 1986 | 177 |
About FR Appelbaum
FR Appelbaum is a scholar working on Hematology, Oncology, Genetics, Immunology and Surgery, having authored 189 papers that have together received 12.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (137 papers), Mesenchymal stem cell research (37 papers), Acute Myeloid Leukemia Research (33 papers), Neutropenia and Cancer Infections (25 papers), Acute Lymphoblastic Leukemia research (21 papers), Virus-based gene therapy research (19 papers), Polyomavirus and related diseases (18 papers) and Transplantation: Methods and Outcomes (12 papers). The work is most often cited by research in Hematology (9.3k citations), Transplantation (628 citations), Genetics (2.0k citations), Immunology (3.4k citations) and Oncology (3.4k citations). FR Appelbaum has collaborated with scholars based in United States, South Africa and Australia. Frequent co-authors include Rainer Storb, CD Buckner, Claudio Anasetti, Jack W. Singer, H. Joachim Deeg, K Doney, JE Sanders, Thomas Ed, Clift Ra and KM Sullivan. Their work appears in journals such as Blood, Bone Marrow Transplantation, Leukemia, Stem Cells and Transfusion.
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.