Marc Thier

1.2k citations
15 papers · 668 · h-index 9

Impact in

Papers in

    • Pluripotent Stem Cells Research 13
    • CRISPR and Genetic Engineering 11
    • RNA Interference and Gene Delivery 3
    • Single-cell and spatial transcriptomics 1
    • Telomeres, Telomerase, and Senescence 2

Marc Thier

15 papers receiving 653 citations

Peers

Marc Thier
Comparison fields: 5 of 49
  • Developmental Neuroscience 179
  • Molecular Biology 591
  • Aging 15
  • Cellular and Molecular Neuroscience 140
  • Genetics 45
Replace Jonas Doerr with:
Jonas Doerr Germany
Y. Alex Zhang China
Elsa Abranches Portugal
Maria Pereira Sweden
Daniel C. Factor United States
Erika Reitano Italy
Jae Souk Lee South Korea
Anjana Nityanandam United States
Angela Maria Peer Austria
Arianna Baggiolini Switzerland
Marc Thier relative to Jonas Doerr Germany Jonas Doerr's profile →
Citations per field
00.5×1.5×1.9×
Jonas Doerr · 1×
Citations per year

Countries citing papers authored by Marc Thier

Since Specialization
Citations

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

Fields of papers citing papers by Marc Thier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2012402
2 201053
3 201240
4 201833
5 201227
6 201626
7 201525
8 201224
9 201311
10 20098
11 20157
12 20156
13 20163
14 20172
15 20221

About Marc Thier

Marc Thier is a scholar working on Molecular Biology, Physiology, Genetics, Developmental Neuroscience and Biomedical Engineering, having authored 15 papers that have together received 668 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (11 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), RNA Interference and Gene Delivery (3 papers), Virus-based gene therapy research (2 papers), 3D Printing in Biomedical Research (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Developmental Neuroscience (179 citations), Molecular Biology (591 citations), Aging (15 citations), Cellular and Molecular Neuroscience (140 citations) and Genetics (45 citations). Marc Thier has collaborated with scholars based in Germany, Austria and India. Frequent co-authors include Frank Edenhofer, Philipp Wörsdörfer, Oliver Brüstle, Thoralf Opitz, Stefan Herms, Markus M. Nöthen, Per Hoffmann, Katharina Günther, Rajkumar P. Thummer and Byeong–Moo Kim. Their work appears in journals such as Cell stem cell, Journal of Visualized Experiments, Biotechnology and Applied Biochemistry, The International Journal of Developmental Biology and Journal of Cell Science.

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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