Anouschka Akerman
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- SARS-CoV-2 and COVID-19 Research 9
- COVID-19 Clinical Research Studies 2
- Genetics 3
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Vanessa Milogiannakis (7 shared papers)Stuart Grant Turville (7 shared papers)Ian Kerridge (2 shared papers)Anthony Lawrence Cunningham (2 shared papers)Yandong Shen (2 shared papers)Anupriya Aggarwal (6 shared papers)Kerrie J. Sandgren (2 shared papers)Stephen P. Mulligan (2 shared papers)
- Journals
- EBioMedicine (4 papers)Antiviral Research (1 paper)Cancer Research (1 paper)Cell (1 paper)Blood Cancer Journal (1 paper)
- Partner nations
- AustraliaSwitzerlandSweden
In The Last Decade
Anouschka Akerman
18 papers receiving 451 citations
Peers
Comparison fields: 5 of 62
- Infectious Diseases 201
- Genetics 49
- Immunology 69
- Oncology 69
- Cancer Research 33
Countries citing papers authored by Anouschka Akerman
This map shows the geographic impact of Anouschka Akerman'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 Anouschka Akerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anouschka Akerman more than expected).
Fields of papers citing papers by Anouschka Akerman
This network shows the impact of papers produced by Anouschka Akerman. 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 Anouschka Akerman. The network helps show where Anouschka Akerman may publish in the future.
Co-authors
The 25 scholars most cited alongside Anouschka Akerman, 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 | 2022 | 116 | |
| 2 | 2021 | 101 | |
| 3 | 2021 | 40 | |
| 4 | 2022 | 37 | |
| 5 | 2024 | 36 | |
| 6 | 2022 | 30 | |
| 7 | 2023 | 30 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2025 | 14 | |
| 11 | 2023 | 5 | |
| 12 | 2024 | 5 | |
| 13 | Novel therapeutics and preclinical imaging for pancreatic cancer - view from the lab | 2016 | 2 |
| 14 | 2023 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 |
About Anouschka Akerman
Anouschka Akerman is a scholar working on Infectious Diseases, Genetics, Immunology, Oncology and Neurology, having authored 18 papers that have together received 453 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Animal Virus Infections Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Infectious Diseases (201 citations), Genetics (49 citations), Immunology (69 citations), Oncology (69 citations) and Cancer Research (33 citations). Anouschka Akerman has collaborated with scholars based in Australia, Switzerland and Sweden. Frequent co-authors include Vanessa Milogiannakis, Stuart Grant Turville, Ian Kerridge, Anthony Lawrence Cunningham, Yandong Shen, Anupriya Aggarwal, Kerrie J. Sandgren, Stephen P. Mulligan, Catherine Tang and Asha Soosapilla. Their work appears in journals such as EBioMedicine, Antiviral Research, Cancer Research, Cell and Blood Cancer Journal.
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.