Kit T. Rodolfa
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
Papers in
-
- Ethics and Social Impacts of AI 4
-
- Analytical chemistry methods development 2
- Co-authors
- John T. DimosKevin EgganKathy K. NiakanWendy K. ChungHiroshi MitsumotoHynek WichterleChristopher E. HendersonRobin Goland
- Journals
- Differentiation (1 paper)Genes & Development (1 paper)Nano Letters (1 paper)Science (1 paper)Science Advances (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kit T. Rodolfa
16 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Developmental Neuroscience 164
- Genetics 268
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 281
- Electrochemistry 85
Countries citing papers authored by Kit T. Rodolfa
This map shows the geographic impact of Kit T. 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 T. 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 T. Rodolfa more than expected).
Fields of papers citing papers by Kit T. Rodolfa
This network shows the impact of papers produced by Kit T. 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 T. Rodolfa. The network helps show where Kit T. Rodolfa may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit T. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 24 | |
| 6 | 2023 | 3 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 56 | |
| 9 | 2020 | 8 | |
| 10 | 2010 | 233 | |
| 11 | Induced Pluripotent Stem Cells Generated from Patients with ALS Can Be Differentiated into Motor Neurons Hit paper breakdown → | 2008 | 1433 |
| 12 | 2008 | 0 | |
| 13 | 2007 | 11 | |
| 14 | 2006 | 70 | |
| 15 | 2005 | 83 | |
| 16 | 2005 | 1 | |
| 17 | 2005 | 19 | |
| 18 | 2005 | 16 | |
| 19 | 2004 | 15 |
About Kit T. Rodolfa
Kit T. Rodolfa is a scholar working on Safety Research, Analytical Chemistry, Aquatic Science, Artificial Intelligence and Biomedical Engineering, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ethics and Social Impacts of AI (4 papers), Pluripotent Stem Cells Research (3 papers), Explainable Artificial Intelligence (XAI) (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Force Microscopy Techniques and Applications (2 papers), Analytical chemistry methods development (2 papers), Adversarial Robustness in Machine Learning (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Developmental Neuroscience (164 citations), Genetics (268 citations), Molecular Biology (1.5k citations), Cellular and Molecular Neuroscience (281 citations) and Electrochemistry (85 citations). Kit T. Rodolfa has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include John T. Dimos, Kevin Eggan, Kathy K. Niakan, Wendy K. Chung, Hiroshi Mitsumoto, Hynek Wichterle, Christopher E. Henderson, Robin Goland, R.L. Leibel and Gist F. Croft. Their work appears in journals such as Differentiation, Genes & Development, Nano Letters, Science and Science Advances.
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.