Kimberly Ritola
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology top 10%
- Cognitive Neuroscience top 5%
- Virology top 1%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Scott M. SternsonZhen Fang Huang CaoJ. Nicholas BetleyRonald SwanstromAdam W. HantmanCharles M. RiceJackie SchillerDavid S. Ojala
- Topics
- HIV Research and Treatment (6 papers)Virus-based gene therapy research (5 papers)Viral Infectious Diseases and Gene Expression in Insects (4 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Kimberly Ritola
27 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Cellular and Molecular Neuroscience 851
- Molecular Biology 823
- Cognitive Neuroscience 647
- Virology 574
- Endocrine and Autonomic Systems 451
Countries citing papers authored by Kimberly Ritola
This map shows the geographic impact of Kimberly Ritola'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 Kimberly Ritola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly Ritola more than expected).
Fields of papers citing papers by Kimberly Ritola
This network shows the impact of papers produced by Kimberly Ritola. 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 Kimberly Ritola. The network helps show where Kimberly Ritola may publish in the future.
Co-authorship network of co-authors of Kimberly Ritola
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Ritola. A scholar is included among the top collaborators of Kimberly Ritola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kimberly Ritola. Kimberly Ritola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 25 | |
| 5 | 15 | |
| 6 | 14 | |
| 7 | 34 | |
| 8 | 68 | |
| 9 | 11 | |
| 10 | 24 | |
| 11 | 39 | |
| 12 | 51 | |
| 13 | 239 | |
| 14 | A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neuronsbreakdown → | 830 |
| 15 | Parallel, Redundant Circuit Organization for Homeostatic Control of Feeding Behaviorbreakdown → | 446 |
| 16 | 86 | |
| 17 | 195 | |
| 18 | 51 | |
| 19 | 231 | |
| 20 | 222 |
About Kimberly Ritola
Kimberly Ritola is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Virus-based gene therapy research (5 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Virology (574 citations), Endocrine and Autonomic Systems (451 citations) and Cellular and Molecular Neuroscience (851 citations). Kimberly Ritola has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Scott M. Sternson, Zhen Fang Huang Cao, J. Nicholas Betley, Ronald Swanstrom, Adam W. Hantman, Charles M. Rice, Jackie Schiller, David S. Ojala, D. Gowanlock R. Tervo and David V. Schaffer. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.