Jason Tchieu

9.2k citations
41 papers · 6.6k indexed · 4 hit papers · h-index 29

Impact in

Papers in

Jason Tchieu

40 papers receiving 6.5k citations

Hit Papers

Brain organoid reservoir computing for artificial intelligence 2023 · 136 citations
13620012026200920174008001.2k

Peers

Jason Tchieu
Comparison fields: 5 of 144
  • Developmental Neuroscience 424
  • Molecular Biology 4.7k
  • Aging 72
  • Plant Science 1.3k
  • Genetics 852
Replace Ying Jin with:
Ying Jin China
Dong Liu China
Su Wang China
András Dinnyés Hungary
Peter J. McKinnon United States
Stanley Tamaki United States
Stefano Stifani Canada
Carol B. Ware United States
Mei Liu China
Doron Betel United States
Jason Tchieu relative to Ying Jin China Ying Jin's profile →
Citations per field
00.5×1.5×
Ying Jin · 1×
Citations per year

Countries citing papers authored by Jason Tchieu

Since Specialization
Citations

This map shows the geographic impact of Jason Tchieu'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 Jason Tchieu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Tchieu more than expected).

Fields of papers citing papers by Jason Tchieu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Tchieu. 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 Jason Tchieu. The network helps show where Jason Tchieu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jason Tchieu, 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 Jason Tchieu Line = papers co-authored together Jason Tchieu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20257
2 202423
3 20239
4 2021145
5 202134
6 20201
7 201856
8 2017155
9 2017162
10 2016218
11 201523
12 2015157
13 20159
14 2010211
15
Generation of human induced pluripotent stem cells from dermal fibroblasts
Hit paper breakdown →
2008789
16
Directly Reprogrammed Fibroblasts Show Global Epigenetic Remodeling and Widespread Tissue Contribution
Hit paper breakdown →
20071266
17 200349
18 200272
19 200114
20
Phylogenetic analyses of the constituents of Type III protein secretion systems.
200095

About Jason Tchieu

Jason Tchieu is a scholar working on Aging, Developmental Neuroscience, Molecular Biology, Genetics and Neurology, having authored 41 papers that have together received 6.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (10 papers), Bacterial Genetics and Biotechnology (5 papers), Renal and related cancers (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Congenital heart defects research (3 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (424 citations), Molecular Biology (4.7k citations), Aging (72 citations), Plant Science (1.3k citations) and Genetics (852 citations). Jason Tchieu has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Kathrin Plath, Rupa Sridharan, Lorenz Studer, Amander T. Clark, April D. Pyle, William E. Lowry, Katrin Arnold, Wei Xie, Sarah Eminli and Nimet Maherali. Their work appears in journals such as Cell stem cell, Nature Biotechnology, Journal of Bacteriology, PLANT PHYSIOLOGY and Nature Communications.

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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