Carol Wadham
- Cell Biology top 5%
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling 9
- Protein Kinase Regulation and GTPase Signaling 3
- Biochemistry top 10%
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- Cancer Genomics and Diagnostics 4
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- Chronic Myeloid Leukemia Treatments 12
- Acute Myeloid Leukemia Research 3
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- Chronic Lymphocytic Leukemia Research 8
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- Acute Lymphoblastic Leukemia research 7
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- Peptidase Inhibition and Analysis 3
- Co-authors
- Pu XiaMathew A. VadasOlga SukochevaJennifer R. GambleYeesim Khew‐GoodallNathaniel AlbaneseGerry RaymanAndrew Holmes
- Journals
- Circulation (1 paper)Journal of Clinical Oncology (1 paper)The Journal of Cell Biology (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Carol Wadham
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Cell Biology 262
- Endocrinology, Diabetes and Metabolism 209
- Molecular Biology 864
- Biochemistry 63
- Cancer Research 128
Countries citing papers authored by Carol Wadham
This map shows the geographic impact of Carol Wadham'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 Carol Wadham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol Wadham more than expected).
Fields of papers citing papers by Carol Wadham
This network shows the impact of papers produced by Carol Wadham. 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 Carol Wadham. The network helps show where Carol Wadham may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carol Wadham, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2022 | 5 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 21 | |
| 7 | 2017 | 62 | |
| 8 | 2014 | 35 | |
| 9 | 2014 | 29 | |
| 10 | 2013 | 31 | |
| 11 | 2012 | 60 | |
| 12 | 2012 | 27 | |
| 13 | 2010 | 42 | |
| 14 | 2010 | 109 | |
| 15 | 2009 | 48 | |
| 16 | 2009 | 22 | |
| 17 | 2007 | 56 | |
| 18 | 2005 | 62 | |
| 19 | 2005 | 17 | |
| 20 | 2003 | 73 |
About Carol Wadham
Carol Wadham is a scholar working on Hematology, Genetics and Cancer Research, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (12 papers), Sphingolipid Metabolism and Signaling (9 papers), Chronic Lymphocytic Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (7 papers), Cancer Genomics and Diagnostics (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Peptidase Inhibition and Analysis (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cell Biology (262 citations), Endocrinology, Diabetes and Metabolism (209 citations) and Molecular Biology (864 citations). Carol Wadham has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Pu Xia, Mathew A. Vadas, Olga Sukocheva, Jennifer R. Gamble, Yeesim Khew‐Goodall, Nathaniel Albanese, Gerry Rayman, Andrew Holmes, Lijun Wang and Arduino A. Mangoni. Their work appears in journals such as Circulation, Journal of Clinical Oncology and The Journal of Cell Biology.
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.