Berta Verd
Impact in
Papers in
-
- Developmental Biology and Gene Regulation 7
- Gene Regulatory Network Analysis 4
- Planarian Biology and Electrostimulation 3
- Pluripotent Stem Cells Research 2
- Single-cell and spatial transcriptomics 2
- Genomics and Chromatin Dynamics 2
- Molecular Biology Techniques and Applications 1
- Co-authors
- Johannes Jaeger (6 shared papers)Anton Crombach (3 shared papers)Nick Monk (2 shared papers)Benjamin Steventon (4 shared papers)Eva Jiménez-Guri (1 shared paper)Erik Clark (1 shared paper)Hilde Janssens (1 shared paper)Karl R. Wotton (1 shared paper)
- Journals
- eLife (3 papers)iScience (2 papers)BMC Systems Biology (1 paper)PLoS Computational Biology (1 paper)Leonardo (1 paper)
- Partner nations
- United KingdomAustriaSpain
In The Last Decade
Berta Verd
15 papers receiving 265 citations
Peers
Comparison fields: 5 of 47
- Aging 10
- Biophysics 22
- Molecular Biology 215
- History and Philosophy of Science 11
- Cell Biology 33
Countries citing papers authored by Berta Verd
This map shows the geographic impact of Berta Verd'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 Berta Verd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berta Verd more than expected).
Fields of papers citing papers by Berta Verd
This network shows the impact of papers produced by Berta Verd. 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 Berta Verd. The network helps show where Berta Verd may publish in the future.
Co-authors
The 22 scholars most cited alongside Berta Verd, 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 | 68 | |
| 2 | 2014 | 63 | |
| 3 | 2018 | 44 | |
| 4 | 2017 | 42 | |
| 5 | 2022 | 10 | |
| 6 | 2021 | 10 | |
| 7 | 2019 | 9 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2026 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2025 | 0 |
About Berta Verd
Berta Verd is a scholar working on Molecular Biology, Cell Biology, Biophysics, Nature and Landscape Conservation and Aquatic Science, having authored 16 papers that have together received 268 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (7 papers), Gene Regulatory Network Analysis (4 papers), Planarian Biology and Electrostimulation (3 papers), Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (2 papers), Genomics and Chromatin Dynamics (2 papers), Cell Image Analysis Techniques (2 papers) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Aging (10 citations), Biophysics (22 citations), Molecular Biology (215 citations), History and Philosophy of Science (11 citations) and Cell Biology (33 citations). Berta Verd has collaborated with scholars based in United Kingdom, Austria and Spain. Frequent co-authors include Johannes Jaeger, Anton Crombach, Nick Monk, Benjamin Steventon, Eva Jiménez-Guri, Erik Clark, Hilde Janssens, Karl R. Wotton, Timothy Fulton and Martin J. Genner. Their work appears in journals such as eLife, iScience, BMC Systems Biology, PLoS Computational Biology and Leonardo.
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.