Anna M. Chiarella
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 2
- RNA Interference and Gene Delivery 2
-
- Adenosine and Purinergic Signaling 2
- Co-authors
- Anil K. Rustgi (4 shared papers)Jason R. Pitarresi (3 shared papers)Basil Bakir (1 shared paper)Nathaniel A. Hathaway (9 shared papers)Yun Kyoung Ryu (1 shared paper)Gulam A. Manji (2 shared papers)Berkley E. Gryder (2 shared papers)Javed Khan (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Cancer Research (2 papers)Nature Genetics (1 paper)ACS Chemical Biology (1 paper)Trends in cancer (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Anna M. Chiarella
13 papers receiving 1.0k citations
Anna M. Chiarella's Hit Papers
Peers
Comparison fields: 5 of 85
- Cancer Research 245
- Oncology 295
- Molecular Biology 610
- Physiology 31
- Immunology 105
Countries citing papers authored by Anna M. Chiarella
This map shows the geographic impact of Anna M. Chiarella'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. Chiarella 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. Chiarella more than expected).
Fields of papers citing papers by Anna M. Chiarella
This network shows the impact of papers produced by Anna M. Chiarella. 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. Chiarella. The network helps show where Anna M. Chiarella may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna M. Chiarella, 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 | EMT, MET, Plasticity, and Tumor Metastasis Hit paper breakdown → | 2020 | 711 |
| 2 | 2019 | 105 | |
| 3 | 2019 | 61 | |
| 4 | 2021 | 60 | |
| 5 | 2019 | 24 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2021 | 1 | |
| 13 | 2021 | 1 |
About Anna M. Chiarella
Anna M. Chiarella is a scholar working on Molecular Biology, Physiology, Biotechnology, Surgery and Oncology, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), Protein Degradation and Inhibitors (2 papers), Adenosine and Purinergic Signaling (2 papers), Histone Deacetylase Inhibitors Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (245 citations), Oncology (295 citations), Molecular Biology (610 citations), Physiology (31 citations) and Immunology (105 citations). Anna M. Chiarella has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Anil K. Rustgi, Jason R. Pitarresi, Basil Bakir, Nathaniel A. Hathaway, Yun Kyoung Ryu, Gulam A. Manji, Berkley E. Gryder, Javed Khan, Silvia Pomella and Kyle V. Butler. Their work appears in journals such as Journal of Visualized Experiments, Cancer Research, Nature Genetics, ACS Chemical Biology and Trends in cancer.
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.