Jan Funke

34 papers receiving 974 citations

Peers

Jan Funke
Comparison fields: 5 of 108
  • Structural Biology 171
  • Biophysics 284
  • Cellular and Molecular Neuroscience 228
  • Aging 18
  • Surfaces, Coatings and Films 63
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John Bogovic United States
Viren Jain United States
Srinivas C. Turaga United States
David G. C. Hildebrand United States
Joergen Kornfeld Germany
Manuel Berning Germany
Kevin M. Boergens Germany
Shawn Mikula United States
Arlo Sheridan United States
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Citations per field
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Citations per year

Countries citing papers authored by Jan Funke

Since Specialization
Citations

This map shows the geographic impact of Jan Funke'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 Jan Funke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Funke more than expected).

Fields of papers citing papers by Jan Funke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Funke. 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 Jan Funke. The network helps show where Jan Funke may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan Funke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Funke Line = papers co-authored together Jan Funke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021172
2 2018126
3 2021124
4 202092
5 202181
6 201663
7 202440
8 202230
9 201425
10 202222
11 202322
12 200122
13 202222
14 202217
15 202216
16 201315
17 201413
18
A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.
201712
19 200911
20 201510

About Jan Funke

Jan Funke is a scholar working on Biophysics, Computer Vision and Pattern Recognition, Structural Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 37 papers that have together received 985 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (13 papers), Advanced Electron Microscopy Techniques and Applications (7 papers), Neurobiology and Insect Physiology Research (6 papers), Single-cell and spatial transcriptomics (4 papers), Animal Behavior and Reproduction (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Electron and X-Ray Spectroscopy Techniques (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Structural Biology (171 citations), Biophysics (284 citations), Cellular and Molecular Neuroscience (228 citations), Aging (18 citations) and Surfaces, Coatings and Films (63 citations). Jan Funke has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Stephan Saalfeld, Arlo Sheridan, Srinivas C. Turaga, Tri Nguyen, Wei-Chung Allen Lee, Francesc Moreno-Noguer, Alexander Vakhitov, Chandan Singh, Fabian Tschopp and Logan A. Thomas. Their work appears in journals such as Nature, Nature Methods, Human Molecular Genetics, min - Minimally Invasive Neurosurgery and Frontiers in Neural Circuits.

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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