Miriam Wankell
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Urology top 10%
Papers in
-
- TGF-β signaling in diseases 6
- Cancer-related gene regulation 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Liver Disease Diagnosis and Treatment 3
- Co-authors
- Lionel Hebbard (13 shared papers)Craig McFarlane (4 shared papers)Sabine Werner (5 shared papers)Christian Alzheimer (2 shared papers)Silke Sulyok (1 shared paper)Robert G. Oshima (4 shared papers)Golo Ahlenstiel (1 shared paper)Sergey Kupriyanov (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2 papers)PLoS ONE (1 paper)Molecular and Cellular Endocrinology (1 paper)Scientific Reports (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Miriam Wankell
23 papers receiving 995 citations
Miriam Wankell's Hit Papers
Peers
Comparison fields: 5 of 89
- Rehabilitation 83
- Urology 60
- Cancer Research 140
- Hepatology 70
- Molecular Biology 562
Countries citing papers authored by Miriam Wankell
This map shows the geographic impact of Miriam Wankell'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 Miriam Wankell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Wankell more than expected).
Fields of papers citing papers by Miriam Wankell
This network shows the impact of papers produced by Miriam Wankell. 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 Miriam Wankell. The network helps show where Miriam Wankell may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Wankell, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting the PI3K/Akt/mTOR Pathway in Hepatocellular Carcinoma Hit paper breakdown → | 2021 | 179 |
| 2 | 2001 | 143 | |
| 3 | 2004 | 78 | |
| 4 | 2003 | 66 | |
| 5 | 2001 | 65 | |
| 6 | 2022 | 55 | |
| 7 | 2004 | 54 | |
| 8 | 2018 | 42 | |
| 9 | 2001 | 40 | |
| 10 | 2017 | 37 | |
| 11 | 2020 | 36 | |
| 12 | 2017 | 32 | |
| 13 | 2008 | 31 | |
| 14 | 2011 | 27 | |
| 15 | 2010 | 25 | |
| 16 | 2019 | 22 | |
| 17 | 2005 | 20 | |
| 18 | 2003 | 19 | |
| 19 | 2020 | 15 | |
| 20 | 2021 | 13 |
About Miriam Wankell
Miriam Wankell is a scholar working on Molecular Biology, Epidemiology, Rehabilitation, Genetics and Surgery, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (6 papers), Wound Healing and Treatments (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Liver physiology and pathology (2 papers), Inflammatory Bowel Disease (2 papers), Tendon Structure and Treatment (2 papers), Cancer-related gene regulation (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Rehabilitation (83 citations), Urology (60 citations), Cancer Research (140 citations), Hepatology (70 citations) and Molecular Biology (562 citations). Miriam Wankell has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Lionel Hebbard, Craig McFarlane, Sabine Werner, Christian Alzheimer, Silke Sulyok, Robert G. Oshima, Golo Ahlenstiel, Sergey Kupriyanov, Erik Vassella and Kurt Benirschke. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, PLoS ONE, Molecular and Cellular Endocrinology, Scientific Reports and Molecular Microbiology.
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.