Meaghan Wall
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Hematology top 2%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 27
- Acute Myeloid Leukemia Research 25
- Chronic Myeloid Leukemia Treatments 3
- Genetics 8
- Chronic Lymphocytic Leukemia Research 6
- Genomic variations and chromosomal abnormalities 6
- Genomics and Rare Diseases 3
- Co-authors
- Grant A. McArthur (8 shared papers)Ross D. Hannan (6 shared papers)Gretchen Poortinga (6 shared papers)Lynda J. Campbell (19 shared papers)Richard B. Pearson (5 shared papers)Katherine M. Hannan (5 shared papers)Carl R. Walkley (11 shared papers)Ruth N. MacKinnon (9 shared papers)
- Journals
- Blood (12 papers)Haematologica (5 papers)Cancer (3 papers)Nature Medicine (2 papers)Experimental Hematology (2 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Meaghan Wall
68 papers receiving 3k citations
Meaghan Wall's Hit Papers
Peers
Comparison fields: 5 of 92
- Genetics 345
- Hematology 509
- Molecular Biology 1.3k
- Pathology and Forensic Medicine 246
- Oncology 319
Countries citing papers authored by Meaghan Wall
This map shows the geographic impact of Meaghan Wall'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 Meaghan Wall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meaghan Wall more than expected).
Fields of papers citing papers by Meaghan Wall
This network shows the impact of papers produced by Meaghan Wall. 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 Meaghan Wall. The network helps show where Meaghan Wall may publish in the future.
Co-authors
The 25 scholars most cited alongside Meaghan Wall, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 475 | |
| 2 | 2011 | 213 | |
| 3 | 2018 | 168 | |
| 4 | 2004 | 156 | |
| 5 | 2017 | 153 | |
| 6 | 2013 | 107 | |
| 7 | 2019 | 95 | |
| 8 | 2008 | 91 | |
| 9 | 2017 | 84 | |
| 10 | 2010 | 83 | |
| 11 | 2017 | 74 | |
| 12 | 2019 | 74 | |
| 13 | 2013 | 69 | |
| 14 | 2013 | 64 | |
| 15 | 2013 | 63 | |
| 16 | 2016 | 60 | |
| 17 | 2020 | 59 | |
| 18 | 2012 | 58 | |
| 19 | 2011 | 48 | |
| 20 | 2018 | 48 |
About Meaghan Wall
Meaghan Wall is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 70 papers that have together received 3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (25 papers), Lymphoma Diagnosis and Treatment (9 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Genomic variations and chromosomal abnormalities (6 papers), Genomics and Rare Diseases (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Genetics (345 citations), Hematology (509 citations), Molecular Biology (1.3k citations), Pathology and Forensic Medicine (246 citations) and Oncology (319 citations). Meaghan Wall has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Grant A. McArthur, Ross D. Hannan, Gretchen Poortinga, Lynda J. Campbell, Richard B. Pearson, Katherine M. Hannan, Carl R. Walkley, Ruth N. MacKinnon, John Francis Seymour and Louise E. Purton. Their work appears in journals such as Blood, Haematologica, Cancer, Nature Medicine and Experimental Hematology.
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.