Mitchell D. Probasco

2.9k citations
13 papers · 2.2k · 2 hit papers · h-index 8

Impact in

Papers in

    • Pluripotent Stem Cells Research 9
    • CRISPR and Genetic Engineering 3
    • Developmental Biology and Gene Regulation 2
    • Epigenetics and DNA Methylation 1
    • 3D Printing in Biomedical Research 4

Mitchell D. Probasco

12 papers receiving 2.1k citations

Mitchell D. Probasco's Hit Papers

Chemically defined conditions for human iPSC derivation and culture 2011 · 1.1k citations
1.1k0+6+13Years since publication2505007501000

Peers

Mitchell D. Probasco
Comparison fields: 5 of 101
  • Molecular Biology 1.8k
  • Biomedical Engineering 590
  • Cell Biology 203
  • Developmental Neuroscience 47
  • Aging 20
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Mitchell D. Probasco relative to Daniel R. Gulbranson United States Daniel R. Gulbranson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mitchell D. Probasco

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mitchell D. Probasco Line = papers co-authored together Mitchell D. Probasco links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1
Chemically defined conditions for human iPSC derivation and culture
Hit paper breakdown →
20111089
2
Feeder-independent culture of human embryonic stem cells
Hit paper breakdown →
2006509
3 2011217
4 2012161
5 2013105
6 201730
7 201922
8 201911
9 20197
10 20075
11 20251
12 20251
13 20250

About Mitchell D. Probasco

Mitchell D. Probasco is a scholar working on Molecular Biology, Biomedical Engineering, Spectroscopy, Surgery and Structural Biology, having authored 13 papers that have together received 2.2k 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), Neuroscience and Neural Engineering (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (1.8k citations), Biomedical Engineering (590 citations), Cell Biology (203 citations), Developmental Neuroscience (47 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, Junying Yu, Veit Bergendahl, Mark E. Levenstein, Zhonggang Hou, Nicholas E. Propson and Jessica Antosiewicz‐Bourget. Their work appears in journals such as Nature Methods, PLoS Computational Biology, Experimental Biology and Medicine, Cell Reports and Cell Systems.

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.

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