Grace Athas
Impact in
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
- Virology top 10%
Papers in
-
- Ion channel regulation and function 2
- Machine Learning in Bioinformatics 1
- Genetics 4
- Virus-based gene therapy research 2
- Co-authors
- Arnold R. Brody (2 shared papers)Joseph A. Lasky (2 shared papers)Gary W. Hoyle (2 shared papers)Mitchell Friedman (1 shared paper)Giuseppe Lungarella (1 shared paper)Miriam Corti (1 shared paper)Luis A. Ortiz (1 shared paper)Patricia Lobelle‐Rich (2 shared papers)
- Journals
- Hearing Research (3 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Journal of Proteome Research (1 paper)American Journal Of Pathology (1 paper)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)
- Partner nations
- United StatesItalyColombia
In The Last Decade
Grace Athas
12 papers receiving 573 citations
Peers
Comparison fields: 5 of 77
- Sensory Systems 61
- Virology 38
- Pulmonary and Respiratory Medicine 151
- Molecular Biology 293
- Microbiology 3
Countries citing papers authored by Grace Athas
This map shows the geographic impact of Grace Athas'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 Grace Athas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Athas more than expected).
Fields of papers citing papers by Grace Athas
This network shows the impact of papers produced by Grace Athas. 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 Grace Athas. The network helps show where Grace Athas may publish in the future.
Co-authors
The 25 scholars most cited alongside Grace Athas, 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 | 1998 | 225 | |
| 2 | 1999 | 99 | |
| 3 | 2001 | 41 | |
| 4 | 1994 | 39 | |
| 5 | 1995 | 38 | |
| 6 | 1995 | 38 | |
| 7 | 2013 | 32 | |
| 8 | 1998 | 28 | |
| 9 | 2004 | 26 | |
| 10 | 2020 | 13 | |
| 11 | 2004 | 5 | |
| 12 | 2000 | 4 |
About Grace Athas
Grace Athas is a scholar working on Molecular Biology, Genetics, Sensory Systems, Immunology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 588 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (3 papers), Virus-based gene therapy research (2 papers), Ion channel regulation and function (2 papers), T-cell and Retrovirus Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Machine Learning in Bioinformatics (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Sensory Systems (61 citations), Virology (38 citations), Pulmonary and Respiratory Medicine (151 citations), Molecular Biology (293 citations) and Microbiology (3 citations). Grace Athas has collaborated with scholars based in United States, Italy and Colombia. Frequent co-authors include Arnold R. Brody, Joseph A. Lasky, Gary W. Hoyle, Mitchell Friedman, Giuseppe Lungarella, Miriam Corti, Luis A. Ortiz, Patricia Lobelle‐Rich, Larry Levy and Paul S. Guth. Their work appears in journals such as Hearing Research, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Proteome Research, American Journal Of Pathology and PROTEOMICS - CLINICAL APPLICATIONS.
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.