Robert G. Graw
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Oncology top 5%
- Neutropenia and Cancer Infections
Papers in
- Hematology 12
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 3
- Oncology 11
- Neutropenia and Cancer Infections 8
- Co-authors
- Geoffrey P. Herzig (6 shared papers)Seymour Perry (3 shared papers)Hans‐Peter Lohrmann (3 shared papers)Edward S. Henderson (5 shared papers)Ligita Novikovs (2 shared papers)Malcolm I. Bull (4 shared papers)David C. Dale (2 shared papers)Roger H. Herzig (1 shared paper)
- Journals
- Blood (5 papers)Transplantation (4 papers)Cancer (3 papers)Pediatric Research (2 papers)New England Journal of Medicine (2 papers)
- Partner nations
- United StatesMalaysiaGermany
In The Last Decade
Robert G. Graw
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Hematology 559
- Oncology 827
- Emergency Medicine 199
- Clinical Biochemistry 135
- Parasitology 123
Countries citing papers authored by Robert G. Graw
This map shows the geographic impact of Robert G. Graw'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 Robert G. Graw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert G. Graw more than expected).
Fields of papers citing papers by Robert G. Graw
This network shows the impact of papers produced by Robert G. Graw. 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 Robert G. Graw. The network helps show where Robert G. Graw may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert G. Graw, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 251 | |
| 2 | 1977 | 231 | |
| 3 | 1971 | 159 | |
| 4 | 1974 | 158 | |
| 5 | 1972 | 115 | |
| 6 | 1978 | 114 | |
| 7 | 1969 | 107 | |
| 8 | 1974 | 89 | |
| 9 | 1974 | 82 | |
| 10 | 1976 | 72 | |
| 11 | 1974 | 63 | |
| 12 | 1978 | 56 | |
| 13 | 1970 | 54 | |
| 14 | 1975 | 39 | |
| 15 | 1974 | 36 | |
| 16 | 1975 | 29 | |
| 17 | 1972 | 28 | |
| 18 | 1976 | 25 | |
| 19 | 2014 | 19 | |
| 20 | 1970 | 14 |
About Robert G. Graw
Robert G. Graw is a scholar working on Hematology, Oncology, Genetics, Immunology and Dermatology, having authored 33 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Neutropenia and Cancer Infections (8 papers), Acute Lymphoblastic Leukemia research (4 papers), T-cell and B-cell Immunology (3 papers), Hematological disorders and diagnostics (3 papers), Acute Myeloid Leukemia Research (3 papers), Chemotherapy-related skin toxicity (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Hematology (559 citations), Oncology (827 citations), Emergency Medicine (199 citations), Clinical Biochemistry (135 citations) and Parasitology (123 citations). Robert G. Graw has collaborated with scholars based in United States, Malaysia and Germany. Frequent co-authors include Geoffrey P. Herzig, Seymour Perry, Hans‐Peter Lohrmann, Edward S. Henderson, Ligita Novikovs, Malcolm I. Bull, David C. Dale, Roger H. Herzig, Richard K. Root and Roger H. Halterman. Their work appears in journals such as Blood, Transplantation, Cancer, Pediatric Research and New England Journal of 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.