Pablo Meyer
Impact in
- Sensory Systems top 2%
- Olfactory and Sensory Function Studies
- Health Informatics top 5%
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Photosynthetic Processes and Mechanisms 4
- Genetics 7
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Matthieu Piel (1 shared paper)Michel Bornens (1 shared paper)Conly L. Rieder (1 shared paper)Alexey Khodjakov (1 shared paper)Michael W. Young (4 shared papers)Lino Sáez (3 shared papers)Gustavo Stolovitzky (15 shared papers)Jonathan Dworkin (3 shared papers)
- Journals
- Bioinformatics (9 papers)BMC Systems Biology (2 papers)Science (2 papers)Nature Communications (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Pablo Meyer
48 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 152
- Sensory Systems 186
- Health Informatics 38
- Endocrine and Autonomic Systems 157
- Cell Biology 354
- Aging 37
Countries citing papers authored by Pablo Meyer
This map shows the geographic impact of Pablo Meyer'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 Pablo Meyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Meyer more than expected).
Fields of papers citing papers by Pablo Meyer
This network shows the impact of papers produced by Pablo Meyer. 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 Pablo Meyer. The network helps show where Pablo Meyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Pablo Meyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 387 | |
| 2 | 2017 | 228 | |
| 3 | 2006 | 147 | |
| 4 | 2018 | 114 | |
| 5 | 2016 | 97 | |
| 6 | 2013 | 95 | |
| 7 | 2014 | 63 | |
| 8 | 2010 | 62 | |
| 9 | 2015 | 55 | |
| 10 | 2014 | 49 | |
| 11 | 2014 | 40 | |
| 12 | 2010 | 40 | |
| 13 | 2017 | 39 | |
| 14 | 2018 | 37 | |
| 15 | 2012 | 36 | |
| 16 | 2019 | 35 | |
| 17 | 2007 | 32 | |
| 18 | 2022 | 27 | |
| 19 | 2021 | 26 | |
| 20 | 2011 | 23 |
About Pablo Meyer
Pablo Meyer is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Biophysics and Endocrine and Autonomic Systems, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Bioinformatics and Genomic Networks (5 papers), Olfactory and Sensory Function Studies (4 papers), Gene expression and cancer classification (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Circadian rhythm and melatonin (4 papers), Advanced Chemical Sensor Technologies (4 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Sensory Systems (186 citations), Health Informatics (38 citations), Endocrine and Autonomic Systems (157 citations), Cell Biology (354 citations) and Aging (37 citations). Pablo Meyer has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Matthieu Piel, Michel Bornens, Conly L. Rieder, Alexey Khodjakov, Michael W. Young, Lino Sáez, Gustavo Stolovitzky, Jonathan Dworkin, Raquel Norel and Julio Sáez-Rodríguez. Their work appears in journals such as Bioinformatics, BMC Systems Biology, Science, Nature Communications and Cold Spring Harbor Symposia on Quantitative Biology.
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.