Paul Wang
Impact in
- Neurology top 10%
- Traumatic Brain Injury and Neurovascular Disturbances
-
- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 13
- Chronic Myeloid Leukemia Treatments 11
- Acute Myeloid Leukemia Research 3
- Genetics 10
- Chronic Lymphocytic Leukemia Research 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Masanori Ichise (1 shared paper)George Wortzman (1 shared paper)Bruce Gray (1 shared paper)Dae-Gyun Chung (1 shared paper)Andreas Schreiber (18 shared papers)Susan Branford (13 shared papers)Hamish S. Scott (14 shared papers)Raymond Guiteras (1 shared paper)
- Journals
- Blood (10 papers)BMC Medical Genomics (1 paper)Neoplasia (1 paper)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)Genome Biology and Evolution (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Paul Wang
32 papers receiving 476 citations
Peers
Comparison fields: 5 of 102
- Neurology 114
- Hematology 65
- Genetics 52
- Endocrinology, Diabetes and Metabolism 69
- Epidemiology 114
Countries citing papers authored by Paul Wang
This map shows the geographic impact of Paul Wang'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 Paul Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Wang more than expected).
Fields of papers citing papers by Paul Wang
This network shows the impact of papers produced by Paul Wang. 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 Paul Wang. The network helps show where Paul Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Wang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Technetium-99m-HMPAO SPECT, CT and MRI in the evaluation of patients with chronic traumatic brain injury: a correlation with neuropsychological performance. | 1994 | 124 |
| 2 | 2016 | 60 | |
| 3 | 2010 | 45 | |
| 4 | 1985 | 35 | |
| 5 | 2016 | 25 | |
| 6 | 2020 | 24 | |
| 7 | 2014 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2017 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2005 | 7 | |
| 16 | 2009 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2012 | 5 |
About Paul Wang
Paul Wang is a scholar working on Hematology, Genetics, Surgery, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 32 papers that have together received 494 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (4 papers), Genomics and Phylogenetic Studies (3 papers), Acute Myeloid Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Eosinophilic Disorders and Syndromes (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Neurology (114 citations), Hematology (65 citations), Genetics (52 citations), Endocrinology, Diabetes and Metabolism (69 citations) and Epidemiology (114 citations). Paul Wang has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Masanori Ichise, George Wortzman, Bruce Gray, Dae-Gyun Chung, Andreas Schreiber, Susan Branford, Hamish S. Scott, Raymond Guiteras, Giordano Palloni and Wendy T Parker. Their work appears in journals such as Blood, BMC Medical Genomics, Neoplasia, JAIDS Journal of Acquired Immune Deficiency Syndromes and Genome Biology and Evolution.
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.