Daniel Fürth
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
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- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
Papers in
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- Single-cell and spatial transcriptomics 4
- Congenital heart defects research 2
- Receptor Mechanisms and Signaling 2
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Konstantinos Meletis (5 shared papers)Yang Xuan (3 shared papers)Marie Carlén (3 shared papers)Gilad Silberberg (2 shared papers)Yvonne Johansson (2 shared papers)Laura Pozzi (1 shared paper)Iskra Pollak Dorocic (1 shared paper)Olaf Bergmann (1 shared paper)
- Journals
- Cell (2 papers)PLoS Biology (1 paper)Journal of Neuroscience (1 paper)Nature Communications (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- SwedenUnited StatesNetherlands
In The Last Decade
Daniel Fürth
12 papers receiving 1.2k citations
Daniel Fürth's Hit Papers
Peers
Comparison fields: 5 of 95
- Biophysics 152
- Cellular and Molecular Neuroscience 382
- Cognitive Neuroscience 353
- Behavioral Neuroscience 45
- Endocrine and Autonomic Systems 75
Countries citing papers authored by Daniel Fürth
This map shows the geographic impact of Daniel Fürth'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 Fürth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fürth more than expected).
Fields of papers citing papers by Daniel Fürth
This network shows the impact of papers produced by Daniel Fürth. 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 Fürth. The network helps show where Daniel Fürth may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Fürth, 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 | A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart Hit paper breakdown → | 2019 | 442 |
| 2 | 2014 | 323 | |
| 3 | 2017 | 145 | |
| 4 | 2019 | 107 | |
| 5 | 2009 | 65 | |
| 6 | 2020 | 56 | |
| 7 | 2011 | 40 | |
| 8 | 2020 | 20 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 6 | |
| 11 | 2025 | 1 | |
| 12 | 2018 | 1 |
About Daniel Fürth
Daniel Fürth is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Experimental and Cognitive Psychology and Biophysics, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Memory and Neural Mechanisms (3 papers), Neural dynamics and brain function (3 papers), Cell Image Analysis Techniques (2 papers), Congenital heart defects research (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cognitive Abilities and Testing (2 papers). The work is most often cited by research in Biophysics (152 citations), Cellular and Molecular Neuroscience (382 citations), Cognitive Neuroscience (353 citations), Behavioral Neuroscience (45 citations) and Endocrine and Autonomic Systems (75 citations). Daniel Fürth has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Konstantinos Meletis, Yang Xuan, Marie Carlén, Gilad Silberberg, Yvonne Johansson, Laura Pozzi, Iskra Pollak Dorocic, Olaf Bergmann, Johan Reimegård and Patrik L. Ståhl. Their work appears in journals such as Cell, PLoS Biology, Journal of Neuroscience, Nature Communications and Nature Neuroscience.
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.