Ann Cleverly
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research 20
- Colorectal Cancer Treatments and Studies 13
- Cancer Treatment and Pharmacology 5
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 7
- Immunology top 5%
- Genetics top 5%
- Glioma Diagnosis and Treatment 9
- Hepatology top 5%
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- TGF-β signaling in diseases 34
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- Renal cell carcinoma treatment 5
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- Genetic factors in colorectal cancer 5
- Co-authors
- Ivelina GueorguievaMichael LahnKarim A. BenhadjiShawn T. EstremSusan C. GubaJordi RodónAnja J. StauberKyla Driscoll
- Cited by
- OncologyCancer ResearchImmunology
- Journals
- Journal of Clinical Oncology (18 papers)Clinical Cancer Research (3 papers)Cancer Chemotherapy and Pharmacology (3 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Ann Cleverly
54 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Oncology 1.5k
- Cancer Research 428
- Immunology 530
- Genetics 259
- Hepatology 193
Countries citing papers authored by Ann Cleverly
This map shows the geographic impact of Ann Cleverly'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 Ann Cleverly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Cleverly more than expected).
Fields of papers citing papers by Ann Cleverly
This network shows the impact of papers produced by Ann Cleverly. 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 Ann Cleverly. The network helps show where Ann Cleverly may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ann Cleverly, 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 | 2020 | 46 | |
| 2 | 2020 | 94 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 18 | |
| 5 | 2019 | 114 | |
| 6 | 2018 | 224 | |
| 7 | 2016 | 1 | |
| 8 | 2016 | 24 | |
| 9 | 2014 | 200 | |
| 10 | 2014 | 1 | |
| 11 | 2014 | 91 | |
| 12 | 2014 | 81 | |
| 13 | 2014 | 37 | |
| 14 | 2014 | 42 | |
| 15 | 2011 | 17 | |
| 16 | 2009 | 22 | |
| 17 | 2008 | 52 | |
| 18 | 2007 | 17 | |
| 19 | 2007 | 16 | |
| 20 | 1991 | 34 |
About Ann Cleverly
Ann Cleverly is a scholar working on Oncology, Genetics, Cancer Research, Molecular Biology and Hepatology, having authored 54 papers that have together received 2.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (34 papers), Pancreatic and Hepatic Oncology Research (20 papers), Colorectal Cancer Treatments and Studies (13 papers), Glioma Diagnosis and Treatment (9 papers), Cancer, Hypoxia, and Metabolism (7 papers), Renal cell carcinoma treatment (5 papers), Genetic factors in colorectal cancer (5 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Oncology (1.5k citations), Cancer Research (428 citations), Immunology (530 citations), Genetics (259 citations) and Hepatology (193 citations). Ann Cleverly has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ivelina Gueorguieva, Michael Lahn, Karim A. Benhadji, Shawn T. Estrem, Michael Lahn, Susan C. Guba, Jordi Rodón, Anja J. Stauber, Kyla Driscoll and Claire Smith. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Cancer Chemotherapy and Pharmacology, Biomarkers and Investigational New Drugs.
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.