Edouard Yeramian
- Sensory Systems top 5%
- Endocrinology top 5%
- Small Animals top 5%
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 3
- Protein Structure and Dynamics 3
- DNA Repair Mechanisms 3
- Genetics top 10%
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- Mycobacterium research and diagnosis 7
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- Theoretical and Computational Physics 3
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- Tuberculosis Research and Epidemiology 3
- Co-authors
- Fredj TekaiaP. ClaverieBernard DujonM. GarbargJean‐Charles SchwartzM. Dam Trung TuongTam Thanh QuachMarie‐Claude Marsolier‐Kergoat
- Partner nations
- FranceSouth KoreaUnited Kingdom
In The Last Decade
Edouard Yeramian
38 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 133
- Sensory Systems 89
- Endocrinology 79
- Small Animals 92
- Molecular Biology 793
- Genetics 199
Countries citing papers authored by Edouard Yeramian
This map shows the geographic impact of Edouard Yeramian'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 Edouard Yeramian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edouard Yeramian more than expected).
Fields of papers citing papers by Edouard Yeramian
This network shows the impact of papers produced by Edouard Yeramian. 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 Edouard Yeramian. The network helps show where Edouard Yeramian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edouard Yeramian, 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 | 2019 | 12 | |
| 2 | 2017 | 58 | |
| 3 | 2017 | 16 | |
| 4 | 2016 | 1 | |
| 5 | 2016 | 9 | |
| 6 | 2014 | 17 | |
| 7 | 2012 | 2 | |
| 8 | 2011 | 7 | |
| 9 | 2007 | 41 | |
| 10 | 2007 | 1 | |
| 11 | 2003 | 14 | |
| 12 | 2003 | 70 | |
| 13 | 2002 | 153 | |
| 14 | 2002 | 14 | |
| 15 | 2000 | 48 | |
| 16 | 2000 | 28 | |
| 17 | 1999 | 16 | |
| 18 | 1999 | 30 | |
| 19 | 1994 | 18 | |
| 20 | [A model for long-term changes in synaptic efficacy based on the interaction of the acetylcholine receptor with the 43,000 dalton sub-synaptic protein]. | 1986 | 1 |
About Edouard Yeramian
Edouard Yeramian is a scholar working on Microbiology, Small Animals and Molecular Biology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (8 papers), Mycobacterium research and diagnosis (7 papers), Machine Learning in Bioinformatics (3 papers), Protein Structure and Dynamics (3 papers), DNA Repair Mechanisms (3 papers), Theoretical and Computational Physics (3 papers) and Tuberculosis Research and Epidemiology (3 papers). The work is most often cited by research in Sensory Systems (89 citations), Endocrinology (79 citations) and Small Animals (92 citations). Edouard Yeramian has collaborated with scholars based in France, South Korea and United Kingdom. Frequent co-authors include Fredj Tekaia, P. Claverie, Bernard Dujon, M. Garbarg, Jean‐Charles Schwartz, M. Dam Trung Tuong, Tam Thanh Quach, Marie‐Claude Marsolier‐Kergoat, Jean‐Michel Arrang and Céline Lacroix. Their work appears in journals such as Nature, Physical Review Letters 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.