Daniel Gyllborg
- Developmental Neuroscience top 5%
- Neurology top 5%
- Biophysics top 5%
- Cell Image Analysis Techniques 2
- Molecular Biology top 10%
- Single-cell and spatial transcriptomics 7
- Pluripotent Stem Cells Research 4
- Wnt/β-catenin signaling in development and cancer 4
- RNA Research and Splicing 2
- Advanced biosensing and bioanalysis techniques 2
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- Nuclear Receptors and Signaling 2
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- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Sten LinnarssonPeter LönnerbergErnest ArenasEnrique M. ToledoMats NilssonGioele La MannoChristoffer Mattsson LangsethRoger A. Barker
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Daniel Gyllborg
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Developmental Neuroscience 163
- Neurology 159
- Biophysics 102
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 231
Countries citing papers authored by Daniel Gyllborg
This map shows the geographic impact of Daniel Gyllborg'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 Gyllborg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gyllborg more than expected).
Fields of papers citing papers by Daniel Gyllborg
This network shows the impact of papers produced by Daniel Gyllborg. 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 Gyllborg. The network helps show where Daniel Gyllborg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Gyllborg, 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 | 2023 | 22 | |
| 2 | 2022 | 35 | |
| 3 | 2021 | 20 | |
| 4 | Molecular architecture of the developing mouse brainbreakdown → | 2021 | 256 |
| 5 | 2021 | 4 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 172 | |
| 8 | 2020 | 14 | |
| 9 | 2019 | 57 | |
| 10 | 2018 | 19 | |
| 11 | 2017 | 49 | |
| 12 | 2017 | 17 | |
| 13 | Molecular Diversity of Midbrain Development in Mouse, Human, and Stem Cellsbreakdown → | 2016 | 531 |
| 14 | 2016 | 84 | |
| 15 | 2012 | 44 |
About Daniel Gyllborg
Daniel Gyllborg is a scholar working on Biophysics, Neurology, Developmental Neuroscience, Molecular Biology and Cancer Research, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Pluripotent Stem Cells Research (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Nuclear Receptors and Signaling (2 papers), RNA Research and Splicing (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Developmental Neuroscience (163 citations), Neurology (159 citations), Biophysics (102 citations), Molecular Biology (1.0k citations) and Cellular and Molecular Neuroscience (231 citations). Daniel Gyllborg has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Sten Linnarsson, Peter Lönnerberg, Ernest Arenas, Enrique M. Toledo, Mats Nilsson, Gioele La Manno, Christoffer Mattsson Langseth, Roger A. Barker, Carmen Saltó and Simon Stott. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, The EMBO Journal, International Journal of Pharmaceutics 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.