Heather M. Ames
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
Papers in
-
- Circular RNAs in diseases 3
- Genetics 10
- Glioma Diagnosis and Treatment 8
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- Fausto J. Rodríguez (6 shared papers)Mariko Hayashi (1 shared paper)Yasunori Hayashi (1 shared paper)Devin B. Mair (1 shared paper)Rong Li (1 shared paper)Charles G. Eberhart (3 shared papers)Graeme F. Woodworth (7 shared papers)Jeffrey A. Winkles (5 shared papers)
- Journals
- Journal of Neuropathology & Experimental Neurology (2 papers)Cancer Research (2 papers)Glia (2 papers)Neuroreport (1 paper)Modern Pathology (1 paper)
- Partner nations
- United StatesBrazilMexico
In The Last Decade
Heather M. Ames
27 papers receiving 832 citations
Peers
Comparison fields: 5 of 85
- Genetics 144
- Cancer Research 178
- Neurology 57
- Aging 12
- Molecular Biology 382
Countries citing papers authored by Heather M. Ames
This map shows the geographic impact of Heather M. Ames'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 Heather M. Ames with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heather M. Ames more than expected).
Fields of papers citing papers by Heather M. Ames
This network shows the impact of papers produced by Heather M. Ames. 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 Heather M. Ames. The network helps show where Heather M. Ames may publish in the future.
Co-authors
The 25 scholars most cited alongside Heather M. Ames, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 127 | |
| 2 | 2019 | 91 | |
| 3 | 2006 | 73 | |
| 4 | 2019 | 62 | |
| 5 | 2020 | 61 | |
| 6 | 2018 | 59 | |
| 7 | 2009 | 52 | |
| 8 | 2020 | 41 | |
| 9 | 2018 | 32 | |
| 10 | 2016 | 30 | |
| 11 | 2017 | 28 | |
| 12 | 2017 | 26 | |
| 13 | 2020 | 24 | |
| 14 | 2011 | 20 | |
| 15 | 2018 | 17 | |
| 16 | 2022 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2021 | 13 | |
| 19 | 2007 | 12 | |
| 20 | 2021 | 10 |
About Heather M. Ames
Heather M. Ames is a scholar working on Molecular Biology, Genetics, Cancer Research, Cellular and Molecular Neuroscience and Neurology, having authored 27 papers that have together received 834 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Circular RNAs in diseases (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Neuroblastoma Research and Treatments (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (144 citations), Cancer Research (178 citations), Neurology (57 citations), Aging (12 citations) and Molecular Biology (382 citations). Heather M. Ames has collaborated with scholars based in United States, Brazil and Mexico. Frequent co-authors include Fausto J. Rodríguez, Mariko Hayashi, Yasunori Hayashi, Devin B. Mair, Rong Li, Charles G. Eberhart, Graeme F. Woodworth, Jeffrey A. Winkles, Karisa C. Schreck and Ming Yuan. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Cancer Research, Glia, Neuroreport and Modern Pathology.
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.