Rani K. Powers
Impact in
- Health Informatics top 10%
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
-
- Bioinformatics and Genomic Networks 5
- Machine Learning in Bioinformatics 4
- Gene expression and cancer classification 2
- Epigenetics and DNA Methylation 1
- Glycosylation and Glycoproteins Research 1
-
- Respiratory Support and Mechanisms 2
- Co-authors
- James C. Costello (6 shared papers)Diogo M. Camacho (3 shared papers)James J. Collins (3 shared papers)Katherine M. Collins (2 shared papers)Aik Choon Tan (1 shared paper)Daniel Bojar (1 shared paper)Yunhao Zhai (1 shared paper)Sarah E. Gilpin (1 shared paper)
- Journals
- Nature Communications (1 paper)Genomics Proteomics & Bioinformatics (1 paper)Mathematical and Computational Applications (1 paper)Cell Systems (1 paper)Cell (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Rani K. Powers
12 papers receiving 1.1k citations
Rani K. Powers's Hit Papers
Peers
Comparison fields: 5 of 143
- Health Informatics 17
- Biophysics 55
- Molecular Biology 538
- Cancer Research 74
- Computational Theory and Mathematics 85
Countries citing papers authored by Rani K. Powers
This map shows the geographic impact of Rani K. Powers'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 Rani K. Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rani K. Powers more than expected).
Fields of papers citing papers by Rani K. Powers
This network shows the impact of papers produced by Rani K. Powers. 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 Rani K. Powers. The network helps show where Rani K. Powers may publish in the future.
Co-authors
The 25 scholars most cited alongside Rani K. Powers, 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 | Next-Generation Machine Learning for Biological Networks Hit paper breakdown → | 2018 | 627 |
| 2 | 2018 | 168 | |
| 3 | Mechanical control of innate immune responses against viral infection revealed in a human lung alveolus chip Hit paper breakdown → | 2022 | 121 |
| 4 | 2020 | 54 | |
| 5 | 2018 | 42 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 31 | |
| 8 | 2023 | 24 | |
| 9 | 2022 | 5 | |
| 10 | 2025 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2021 | 1 |
About Rani K. Powers
Rani K. Powers is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology, Critical Care and Intensive Care Medicine and Ophthalmology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Machine Learning in Bioinformatics (4 papers), Gene expression and cancer classification (2 papers), Respiratory Support and Mechanisms (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Epigenetics and DNA Methylation (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Health Informatics (17 citations), Biophysics (55 citations), Molecular Biology (538 citations), Cancer Research (74 citations) and Computational Theory and Mathematics (85 citations). Rani K. Powers has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include James C. Costello, Diogo M. Camacho, James J. Collins, Katherine M. Collins, Aik Choon Tan, Daniel Bojar, Yunhao Zhai, Sarah E. Gilpin, Chaitra Belgur and Melissa Rodas. Their work appears in journals such as Nature Communications, Genomics Proteomics & Bioinformatics, Mathematical and Computational Applications, Cell Systems and Cell.
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.