Anna M. Johnston
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 29
- Oncology 28
- Viral-associated cancers and disorders 13
- CAR-T cell therapy research 9
- Co-authors
- Eric Uren (2 shared papers)Gilles Salles (3 shared papers)Luke Coyle (2 shared papers)Shaun A. Fleming (1 shared paper)Zane Kaplan (1 shared paper)James D. McFadyen (1 shared paper)Huyen Anh Tran (1 shared paper)Sanjeev Daya Chunilal (1 shared paper)
- Journals
- Blood Advances (6 papers)Hematological Oncology (4 papers)American Journal of Hematology (2 papers)European Journal Of Haematology (2 papers)HemaSphere (2 papers)
- Partner nations
- AustraliaUnited StatesNew Zealand
In The Last Decade
Anna M. Johnston
54 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Pathology and Forensic Medicine 254
- Genetics 135
- Hematology 145
- Oncology 289
- Epidemiology 312
Countries citing papers authored by Anna M. Johnston
This map shows the geographic impact of Anna M. Johnston'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 Anna M. Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna M. Johnston more than expected).
Fields of papers citing papers by Anna M. Johnston
This network shows the impact of papers produced by Anna M. Johnston. 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 Anna M. Johnston. The network helps show where Anna M. Johnston may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna M. Johnston, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 202 | |
| 2 | 2019 | 199 | |
| 3 | 2023 | 71 | |
| 4 | 2016 | 61 | |
| 5 | 2020 | 32 | |
| 6 | 2023 | 32 | |
| 7 | 2020 | 31 | |
| 8 | 2003 | 30 | |
| 9 | 2019 | 26 | |
| 10 | 2000 | 23 | |
| 11 | 2000 | 23 | |
| 12 | 2023 | 23 | |
| 13 | 2017 | 21 | |
| 14 | 2009 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2006 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2005 | 16 | |
| 19 | 2019 | 15 | |
| 20 | 2019 | 14 |
About Anna M. Johnston
Anna M. Johnston is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Hematology and Neurology, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Viral-associated cancers and disorders (13 papers), Chronic Lymphocytic Leukemia Research (12 papers), CAR-T cell therapy research (9 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (254 citations), Genetics (135 citations), Hematology (145 citations), Oncology (289 citations) and Epidemiology (312 citations). Anna M. Johnston has collaborated with scholars based in Australia, United States and New Zealand. Frequent co-authors include Eric Uren, Gilles Salles, Luke Coyle, Shaun A. Fleming, Zane Kaplan, James D. McFadyen, Huyen Anh Tran, Sanjeev Daya Chunilal, Stephen Opat and David F. Nevell. Their work appears in journals such as Blood Advances, Hematological Oncology, American Journal of Hematology, European Journal Of Haematology and HemaSphere.
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.