Dagmar Iber
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 2%
- Cellular Mechanics and Interactions
Papers in
- Cell Biology 22
- Cellular Mechanics and Interactions 17
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- Developmental Biology and Gene Regulation 43
- Gene Regulatory Network Analysis 15
- Renal and related cancers 7
- Hedgehog Signaling Pathway Studies 5
- Co-authors
- Denis Menshykau (13 shared papers)Michael S. Neuberger (1 shared paper)Facundo D. Batista (1 shared paper)Roman Vetter (18 shared papers)Conradin Kraemer (3 shared papers)Philip K. Maini (2 shared papers)Michael Meyer‐Hermann (1 shared paper)Marcelo Boareto (6 shared papers)
- Journals
- Development (10 papers)Scientific Reports (5 papers)Nature (3 papers)Cell Reports (3 papers)Nature Communications (3 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Dagmar Iber
91 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 123
- Developmental Neuroscience 122
- Cell Biology 423
- Immunology 479
- Modeling and Simulation 122
- Developmental Biology 52
Countries citing papers authored by Dagmar Iber
This map shows the geographic impact of Dagmar Iber'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 Dagmar Iber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Iber more than expected).
Fields of papers citing papers by Dagmar Iber
This network shows the impact of papers produced by Dagmar Iber. 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 Dagmar Iber. The network helps show where Dagmar Iber may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagmar Iber, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 525 | |
| 2 | 2013 | 115 | |
| 3 | 2006 | 104 | |
| 4 | 2014 | 97 | |
| 5 | 2011 | 89 | |
| 6 | 2015 | 87 | |
| 7 | 2012 | 85 | |
| 8 | 2019 | 80 | |
| 9 | 2014 | 70 | |
| 10 | 2012 | 65 | |
| 11 | 2019 | 61 | |
| 12 | 2017 | 52 | |
| 13 | 2017 | 50 | |
| 14 | 2006 | 46 | |
| 15 | 2014 | 46 | |
| 16 | 2013 | 45 | |
| 17 | 2021 | 44 | |
| 18 | 2020 | 41 | |
| 19 | 2015 | 40 | |
| 20 | 2023 | 39 |
About Dagmar Iber
Dagmar Iber is a scholar working on Cell Biology, Molecular Biology, Developmental Neuroscience, Modeling and Simulation and Developmental Biology, having authored 93 papers that have together received 2.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (43 papers), Cellular Mechanics and Interactions (17 papers), Gene Regulatory Network Analysis (15 papers), Renal and related cancers (7 papers), T-cell and B-cell Immunology (6 papers), Hedgehog Signaling Pathway Studies (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Nonlinear Dynamics and Pattern Formation (4 papers). The work is most often cited by research in Developmental Neuroscience (122 citations), Cell Biology (423 citations), Immunology (479 citations), Modeling and Simulation (122 citations) and Developmental Biology (52 citations). Dagmar Iber has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Denis Menshykau, Michael S. Neuberger, Facundo D. Batista, Roman Vetter, Conradin Kraemer, Philip K. Maini, Michael Meyer‐Hermann, Marcelo Boareto, Verdon Taylor and Fernando Casares. Their work appears in journals such as Development, Scientific Reports, Nature, Cell Reports and Nature Communications.
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.