Daniel S. Osório
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 10%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Nuclear Structure and Function 4
- Photosynthetic Processes and Mechanisms 3
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 1
- Cell Biology 10
- Cellular Mechanics and Interactions 8
- Microtubule and mitosis dynamics 6
- Co-authors
- Edgar R. Gomes (4 shared papers)Ana Xavier Carvalho (9 shared papers)Iain W. Mattaj (1 shared paper)Mátyás Gorjánácz (1 shared paper)Frédéric Aurade (1 shared paper)Birgit Koch (1 shared paper)Ana Marta Silva (4 shared papers)Reto Gassmann (4 shared papers)
In The Last Decade
Daniel S. Osório
15 papers receiving 326 citations
Peers
Comparison fields: 5 of 53
- Aging 67
- Cell Biology 172
- Molecular Biology 241
- Biophysics 13
- Endocrine and Autonomic Systems 11
Countries citing papers authored by Daniel S. Osório
This map shows the geographic impact of Daniel S. Osório'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 Daniel S. Osório with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Osório more than expected).
Fields of papers citing papers by Daniel S. Osório
This network shows the impact of papers produced by Daniel S. Osório. 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 Daniel S. Osório. The network helps show where Daniel S. Osório may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Osório, 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 | 2012 | 85 | |
| 2 | 2018 | 49 | |
| 3 | 2019 | 25 | |
| 4 | 2016 | 22 | |
| 5 | 2019 | 19 | |
| 6 | 2014 | 18 | |
| 7 | 2007 | 17 | |
| 8 | 2020 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2013 | 8 | |
| 14 | 2017 | 8 | |
| 15 | 2023 | 4 |
About Daniel S. Osório
Daniel S. Osório is a scholar working on Molecular Biology, Cell Biology, Aging, Physiology and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 328 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (8 papers), Microtubule and mitosis dynamics (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Nuclear Structure and Function (4 papers), Photosynthetic Processes and Mechanisms (3 papers), RNA Research and Splicing (3 papers), Wind Turbine Control Systems (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (67 citations), Cell Biology (172 citations), Molecular Biology (241 citations), Biophysics (13 citations) and Endocrine and Autonomic Systems (11 citations). Daniel S. Osório has collaborated with scholars based in Portugal, France and Germany. Frequent co-authors include Edgar R. Gomes, Ana Xavier Carvalho, Iain W. Mattaj, Mátyás Gorjánácz, Frédéric Aurade, Birgit Koch, Ana Marta Silva, Reto Gassmann, J.P.G. Leite and Fung‐Yi Chan. Their work appears in journals such as Current Biology, The Journal of Cell Biology, Journal of Cell Science, BMC Evolutionary Biology and Cell Reports.
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.