Thierry Laroche
- Molecular Biology top 1%
- Physiology top 1%
- Plant Science top 2%
- Endocrine and Autonomic Systems top 1%
- Aging top 0.2%
- Co-authors
- Susan M. GasserMichael GrunsteinSophie G. MartinMonica GottaSabine Strahl‐BolsingerAndreas HechtCamille SainiEmi Nagoshi
- Topics
- Genomics and Chromatin Dynamics (19 papers)Fungal and yeast genetics research (16 papers)DNA Repair Mechanisms (13 papers)
- Journals
- ScienceCellNucleic Acids Research
- Partner nations
- SwitzerlandUnited StatesFrance
In The Last Decade
Thierry Laroche
46 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 5.2k
- Physiology 1.6k
- Plant Science 1.4k
- Endocrine and Autonomic Systems 719
- Aging 604
Countries citing papers authored by Thierry Laroche
This map shows the geographic impact of Thierry Laroche'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 Thierry Laroche with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Laroche more than expected).
Fields of papers citing papers by Thierry Laroche
This network shows the impact of papers produced by Thierry Laroche. 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 Thierry Laroche. The network helps show where Thierry Laroche may publish in the future.
Co-authorship network of co-authors of Thierry Laroche
This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Laroche. A scholar is included among the top collaborators of Thierry Laroche based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thierry Laroche. Thierry Laroche is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 103 | |
| 5 | 222 | |
| 6 | 18 | |
| 7 | Circadian Gene Expression in Individual Fibroblastsbreakdown → | 796 |
| 8 | 367 | |
| 9 | 21 | |
| 10 | 120 | |
| 11 | 32 | |
| 12 | 384 | |
| 13 | 24 | |
| 14 | 301 | |
| 15 | Histone H3 and H4 N-termini interact with SIR3 and SIR4 proteins: A molecular model for the formation of heterochromatin in yeastbreakdown → | 664 |
| 16 | 20 | |
| 17 | 340 | |
| 18 | 115 | |
| 19 | 61 | |
| 20 | 172 |
About Thierry Laroche
Thierry Laroche is a scholar working on Aging, Biophysics and Molecular Biology, having authored 46 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (19 papers), Fungal and yeast genetics research (16 papers) and DNA Repair Mechanisms (13 papers). The work is most often cited by research in Aging (604 citations), Endocrine and Autonomic Systems (719 citations) and Molecular Biology (5.2k citations). Thierry Laroche has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Susan M. Gasser, Michael Grunstein, Sophie G. Martin, Monica Gotta, Sabine Strahl‐Bolsinger, Andreas Hecht, Camille Saini, Emi Nagoshi, Ueli Schibler and Christoph Bauer. Their work appears in journals such as Science, Cell and Nucleic Acids Research.
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.