Daniel Fürth

2.2k citations
12 papers · 1.2k indexed · 1 hit paper · h-index 9
Topics
Single-cell and spatial transcriptomics (4 papers)Neuroscience and Neuropharmacology Research (4 papers)Neural dynamics and brain function (3 papers)

In The Last Decade

Daniel Fürth

12 papers receiving 1.2k citations

Hit Papers

A Spatiotemporal Organ-Wide Gene Expression and Cell Atla...20192026202120232019100200300400

Peers

Daniel Fürth
Comparison fields: 5 of 95
  • Molecular Biology 635
  • Cellular and Molecular Neuroscience 382
  • Cognitive Neuroscience 353
  • Biophysics 152
  • Experimental and Cognitive Psychology 84
Replace Kimberly A. Smith with:
Kimberly A. Smith United States
Chinh Dang United States
Thuc Nghi Nguyen United States
Ashley N. Ferreira United States
Drew Friedmann United States
Sam Vesuna United States
Benjamin W. Okaty United States
Eliza L. Adams United States
L. Niels Cornelisse Netherlands
José-Rodrigo Rodrı́guez Spain
Daniel Fürth relative to Kimberly A. Smith United States Kimberly A. Smith's profile →
Citations per field
00.5×4.2×
Kimberly A. Smith · 1×
Citations per year

Countries citing papers authored by Daniel Fürth

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Fürth

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fürth. A scholar is included among the top collaborators of Daniel Fürth based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Fürth. Daniel Fürth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 12
3 6
4 20
5 56
6
A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heartbreakdown →
442
7 107
8 1
9 145
10 323
11 40
12 65

About Daniel Fürth

Daniel Fürth is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Cognitive Neuroscience, 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) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Biophysics (152 citations), Cellular and Molecular Neuroscience (382 citations) and Cognitive Neuroscience (353 citations). Daniel Fürth has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Konstantinos Meletis, Marie Carlén, Yang Xuan, Gilad Silberberg, Yvonne Johansson, Iskra Pollak Dorocic, Laura Pozzi, Agneta Månsson‐Broberg, Joaquín Custodio and Chenglin Wu. Their work appears in journals such as Cell, Nature Communications and Neuron.

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.

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