Olivier Poch
- Molecular Biology top 0.5%
- Genetics top 1%
- Infectious Diseases top 1%
- Epidemiology top 2%
- Plant Science top 2%
- Co-authors
- Julie ThompsonMarc DelarueNoël TordoDino MorasFrédéric PlewniakJean GangloffGilbert ErianiRaymond Ripp
- Topics
- Genomics and Phylogenetic Studies (59 papers)RNA and protein synthesis mechanisms (45 papers)Machine Learning in Bioinformatics (25 papers)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Olivier Poch
170 papers receiving 10.4k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 7.6k
- Genetics 1.7k
- Infectious Diseases 1.3k
- Epidemiology 1.1k
- Plant Science 1.0k
Countries citing papers authored by Olivier Poch
This map shows the geographic impact of Olivier Poch'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 Olivier Poch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Poch more than expected).
Fields of papers citing papers by Olivier Poch
This network shows the impact of papers produced by Olivier Poch. 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 Olivier Poch. The network helps show where Olivier Poch may publish in the future.
Co-authorship network of co-authors of Olivier Poch
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Poch. A scholar is included among the top collaborators of Olivier Poch 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 Olivier Poch. Olivier Poch 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 | 1 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 23 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 49 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 53 | |
| 15 | Integrated DNA/RNA microarray profiling of hormone-refractory clinical prostate cancers and metastases indicates deregulation of several pathways, including androgen/AR, Hedgehog, MAPK and neuroactive ligand/receptor signalling | 1 |
| 16 | 132 | |
| 17 | 62 | |
| 18 | 46 | |
| 19 | A comprehensive comparison of multiple sequence alignment programsbreakdown → | 554 |
| 20 | 29 |
About Olivier Poch
Olivier Poch is a scholar working on Molecular Biology, Genetics and Virology, having authored 174 papers that have together received 10.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (59 papers), RNA and protein synthesis mechanisms (45 papers) and Machine Learning in Bioinformatics (25 papers). The work is most often cited by research in Virology (696 citations), Molecular Biology (7.6k citations) and Infectious Diseases (1.3k citations). Olivier Poch has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Julie Thompson, Marc Delarue, Noël Tordo, Dino Moras, Frédéric Plewniak, Jean Gangloff, Gilbert Eriani, Raymond Ripp, Odile Lecompte and Patrick Argos. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.