Peter Waldron
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Iron Metabolism and Disorders
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 13
- Chronic Myeloid Leukemia Treatments 5
- Blood groups and transfusion 3
- Genetics 9
- Hemoglobinopathies and Related Disorders 5
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- S. Christopher Jones (7 shared papers)Bryan Rodgers (2 shared papers)Elliott Vichinsky (4 shared papers)Lynne Neumayr (4 shared papers)Susan Bersoff‐Matcha (2 shared papers)Page Crew (2 shared papers)Pedro de Alarcón (1 shared paper)Vandana Shashi (1 shared paper)
- Journals
- American Journal of Hematology (5 papers)Journal of Pediatric Hematology/Oncology (3 papers)Blood (2 papers)Clinical Cancer Research (1 paper)Journal of Neurosurgery Pediatrics (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Peter Waldron
32 papers receiving 657 citations
Peers
Comparison fields: 5 of 71
- Hematology 143
- Genetics 133
- Microbiology 59
- Immunology 104
- Oncology 114
Countries citing papers authored by Peter Waldron
This map shows the geographic impact of Peter Waldron'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 Waldron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Waldron more than expected).
Fields of papers citing papers by Peter Waldron
This network shows the impact of papers produced by Peter Waldron. 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 Waldron. The network helps show where Peter Waldron may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Waldron, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 141 | |
| 2 | 2003 | 57 | |
| 3 | 2018 | 57 | |
| 4 | 1994 | 49 | |
| 5 | 2003 | 42 | |
| 6 | 1999 | 39 | |
| 7 | 1999 | 38 | |
| 8 | 2007 | 36 | |
| 9 | 2018 | 35 | |
| 10 | 2010 | 25 | |
| 11 | 1999 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 1994 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2018 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 1998 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2001 | 11 | |
| 20 | 2021 | 9 |
About Peter Waldron
Peter Waldron is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Surgery, having authored 34 papers that have together received 702 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Blood groups and transfusion (3 papers), Neonatal Health and Biochemistry (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Heparin-Induced Thrombocytopenia and Thrombosis (2 papers), HIV/AIDS drug development and treatment (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Hematology (143 citations), Genetics (133 citations), Microbiology (59 citations), Immunology (104 citations) and Oncology (114 citations). Peter Waldron has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include S. Christopher Jones, Bryan Rodgers, Elliott Vichinsky, Lynne Neumayr, Susan Bersoff‐Matcha, Page Crew, Pedro de Alarcón, Vandana Shashi, Wendy L. Golden and Mark A. Lovell. Their work appears in journals such as American Journal of Hematology, Journal of Pediatric Hematology/Oncology, Blood, Clinical Cancer Research and Journal of Neurosurgery Pediatrics.
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.