Kit Rodolfa
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
Papers in
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- Ethics and Social Impacts of AI 6
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- Explainable Artificial Intelligence (XAI) 5
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Kevin C. Eggan (2 shared papers)Hiroshi Mitsumoto (1 shared paper)John T. Dimos (1 shared paper)Hynek Wichterle (1 shared paper)Rudy L. Leibel (1 shared paper)Robin Goland (1 shared paper)Gist F. Croft (1 shared paper)Christopher E. Henderson (1 shared paper)
- Journals
- Science Advances (1 paper)Nature Machine Intelligence (1 paper)Cell (1 paper)Applied Spectroscopy (1 paper)Nano Letters (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kit Rodolfa
18 papers receiving 1.9k citations
Kit Rodolfa's Hit Papers
Peers
Comparison fields: 5 of 134
- Developmental Neuroscience 170
- Genetics 294
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 294
- Neurology 231
Countries citing papers authored by Kit Rodolfa
This map shows the geographic impact of Kit Rodolfa'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 Kit Rodolfa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit Rodolfa more than expected).
Fields of papers citing papers by Kit Rodolfa
This network shows the impact of papers produced by Kit Rodolfa. 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 Kit Rodolfa. The network helps show where Kit Rodolfa may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit Rodolfa, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Induced Pluripotent Stem Cells Generated from Patients with ALS Can Be Differentiated into Motor Neurons Hit paper breakdown → | 2008 | 1586 |
| 2 | 2005 | 108 | |
| 3 | 2006 | 79 | |
| 4 | 2023 | 42 | |
| 5 | 2006 | 33 | |
| 6 | 2005 | 20 | |
| 7 | 2004 | 16 | |
| 8 | 2024 | 16 | |
| 9 | 2020 | 12 | |
| 10 | 2007 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2021 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2005 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2008 | 0 |
About Kit Rodolfa
Kit Rodolfa is a scholar working on Safety Research, Artificial Intelligence, Analytical Chemistry, General Health Professions and Aquatic Science, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (6 papers), Explainable Artificial Intelligence (XAI) (5 papers), Microfluidic and Bio-sensing Technologies (3 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (2 papers), Analytical chemistry methods development (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Developmental Neuroscience (170 citations), Genetics (294 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (294 citations) and Neurology (231 citations). Kit Rodolfa has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kevin C. Eggan, Hiroshi Mitsumoto, John T. Dimos, Hynek Wichterle, Rudy L. Leibel, Robin Goland, Gist F. Croft, Christopher E. Henderson, Kathy K. Niakan and Wendy K. Chung. Their work appears in journals such as Science Advances, Nature Machine Intelligence, Cell, Applied Spectroscopy and Nano Letters.
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.