Peter J. Shaw
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 61
- Acute Myeloid Leukemia Research 16
- Transplantation top 2%
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research 19
- Oncology top 2%
- Neutropenia and Cancer Infections 11
- Neurology top 2%
- Neuroblastoma Research and Treatments 21
-
- Acute Lymphoblastic Leukemia research 35
-
- Childhood Cancer Survivors' Quality of Life 19
-
- Antibiotics Pharmacokinetics and Efficacy 15
- Co-authors
- Christa E. NathJohn EarlCatherine CordonnierPer LjungmanAndrew J. McLachlanDavid GottliebKenneth MicklethwaiteAnthony G. Timoney
- Journals
- Blood (20 papers)Biology of Blood and Marrow Transplantation (18 papers)Bone Marrow Transplantation (12 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Peter J. Shaw
177 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Hematology 1.4k
- Transplantation 190
- Epidemiology 1.6k
- Oncology 1.1k
- Neurology 610
Countries citing papers authored by Peter J. Shaw
This map shows the geographic impact of Peter J. Shaw'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 Peter J. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Shaw more than expected).
Fields of papers citing papers by Peter J. Shaw
This network shows the impact of papers produced by Peter J. Shaw. 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 Peter J. Shaw. The network helps show where Peter J. Shaw may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter J. Shaw, 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 | 0 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 18 | |
| 4 | 2021 | 27 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 10 | |
| 7 | 2018 | 4 | |
| 8 | 2018 | 28 | |
| 9 | 2013 | 29 | |
| 10 | 2013 | 32 | |
| 11 | 2009 | 39 | |
| 12 | 2008 | 27 | |
| 13 | 2008 | 110 | |
| 14 | 2006 | 75 | |
| 15 | 2006 | 153 | |
| 16 | 2001 | 226 | |
| 17 | 2001 | 26 | |
| 18 | 1997 | 0 | |
| 19 | 1995 | 131 | |
| 20 | 1992 | 44 |
About Peter J. Shaw
Peter J. Shaw is a scholar working on Hematology, Transplantation, Pediatrics, Perinatology and Child Health, Neurology and Public Health, Environmental and Occupational Health, having authored 188 papers that have together received 5.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (61 papers), Acute Lymphoblastic Leukemia research (35 papers), Neuroblastoma Research and Treatments (21 papers), Cytomegalovirus and herpesvirus research (19 papers), Childhood Cancer Survivors' Quality of Life (19 papers), Acute Myeloid Leukemia Research (16 papers), Antibiotics Pharmacokinetics and Efficacy (15 papers) and Neutropenia and Cancer Infections (11 papers). The work is most often cited by research in Hematology (1.4k citations), Transplantation (190 citations), Epidemiology (1.6k citations), Oncology (1.1k citations) and Neurology (610 citations). Peter J. Shaw has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Christa E. Nath, John Earl, Catherine Cordonnier, Per Ljungman, Andrew J. McLachlan, David Gottlieb, Kenneth Micklethwaite, Anthony G. Timoney, Dan Engelhard and Stuart G. Tangye. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, Journal of Clinical Oncology and British Journal of Clinical Pharmacology.
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.