Mitchell D. Probasco
Impact in
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Renal and related cancers
- Biomedical Engineering top 5%
- 3D Printing in Biomedical Research
Papers in ⓘ
-
- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 3
- Developmental Biology and Gene Regulation 2
- Single-cell and spatial transcriptomics 1
- Advanced biosensing and bioanalysis techniques 1
- Co-authors
- James A. Thomson (10 shared papers)Jennifer M. Bolin (5 shared papers)Victor Ruotti (2 shared papers)Tenneille E. Ludwig (1 shared paper)Mark E. Levenstein (1 shared paper)Veit Bergendahl (1 shared paper)Junying Yu (1 shared paper)Nicholas E. Propson (2 shared papers)
- Journals
- Nature Methods (3 papers)PLoS Computational Biology (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)Cell Reports (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Mitchell D. Probasco
11 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 1.8k
- Biomedical Engineering 632
- Cell Biology 214
- Developmental Neuroscience 48
- Aging 20
Countries citing papers authored by Mitchell D. Probasco
This map shows the geographic impact of Mitchell D. Probasco'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 Mitchell D. Probasco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell D. Probasco more than expected).
Fields of papers citing papers by Mitchell D. Probasco
This network shows the impact of papers produced by Mitchell D. Probasco. 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 Mitchell D. Probasco. The network helps show where Mitchell D. Probasco may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell D. Probasco, 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 | Chemically defined conditions for human iPSC derivation and culture Hit paper breakdown → | 2011 | 1073 |
| 2 | Feeder-independent culture of human embryonic stem cells Hit paper breakdown → | 2006 | 507 |
| 3 | 2011 | 217 | |
| 4 | 2012 | 157 | |
| 5 | 2013 | 105 | |
| 6 | 2017 | 30 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 7 | |
| 10 | 2007 | 5 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 |
About Mitchell D. Probasco
Mitchell D. Probasco is a scholar working on Developmental Neuroscience, Molecular Biology, Immunology and Allergy, Spectroscopy and Biomedical Engineering, having authored 12 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), 3D Printing in Biomedical Research (4 papers), CRISPR and Genetic Engineering (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Developmental Biology and Gene Regulation (2 papers), Single-cell and spatial transcriptomics (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Biomedical Engineering (632 citations), Cell Biology (214 citations), Developmental Neuroscience (48 citations) and Aging (20 citations). Mitchell D. Probasco has collaborated with scholars based in United States and Germany. Frequent co-authors include James A. Thomson, Jennifer M. Bolin, Victor Ruotti, Tenneille E. Ludwig, Mark E. Levenstein, Veit Bergendahl, Junying Yu, Nicholas E. Propson, Zhonggang Hou and Guokai Chen. Their work appears in journals such as Nature Methods, PLoS Computational Biology, Journal of the American Society for Mass Spectrometry, Cell Reports and Cell Reports Medicine.
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.