Jan Funke

3.4k total citations
29 papers, 757 citations indexed

About

Jan Funke is a scholar working on Biophysics, Structural Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Funke has authored 29 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 7 papers in Structural Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan Funke's work include Cell Image Analysis Techniques (9 papers), Advanced Electron Microscopy Techniques and Applications (7 papers) and Neurobiology and Insect Physiology Research (5 papers). Jan Funke is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Advanced Electron Microscopy Techniques and Applications (7 papers) and Neurobiology and Insect Physiology Research (5 papers). Jan Funke collaborates with scholars based in United States, Switzerland and Germany. Jan Funke's co-authors include Stephan Saalfeld, Arlo Sheridan, Tri Nguyen, Wei-Chung Allen Lee, Srinivas C. Turaga, Logan A. Thomas, Jasper S. Phelps, Fabian Tschopp, Chandan Singh and John C Tuthill and has published in prestigious journals such as Nature, Cell and Nature Neuroscience.

In The Last Decade

Jan Funke

27 papers receiving 748 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan Funke United States 13 219 214 153 153 96 29 757
David G. C. Hildebrand United States 14 171 0.8× 220 1.0× 187 1.2× 138 0.9× 60 0.6× 23 988
Joergen Kornfeld Germany 11 216 1.0× 100 0.5× 126 0.8× 134 0.9× 24 0.3× 13 628
Michał Januszewski United States 12 163 0.7× 80 0.4× 104 0.7× 103 0.7× 46 0.5× 23 678
Alexander Y. Katsov United States 6 230 1.1× 151 0.7× 138 0.9× 49 0.3× 60 0.6× 7 514
John Bogovic United States 18 154 0.7× 133 0.6× 265 1.7× 66 0.4× 48 0.5× 42 1.3k
Peter H. Li United States 13 124 0.6× 317 1.5× 324 2.1× 64 0.4× 53 0.6× 24 672
Arlo Sheridan United States 8 86 0.4× 112 0.5× 138 0.9× 49 0.3× 42 0.4× 9 436
Kevin M. Boergens Germany 9 196 0.9× 255 1.2× 107 0.7× 148 1.0× 16 0.2× 18 626
Carlas Smith Netherlands 15 642 2.9× 149 0.7× 323 2.1× 288 1.9× 54 0.6× 48 1.1k

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-authorship network of co-authors of Jan Funke

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Funke. A scholar is included among the top collaborators of Jan Funke 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 Jan Funke. Jan Funke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ishikawa, Yuki, et al.. (2024). Neural-circuit basis of song preference learning in fruit flies. iScience. 27(7). 110266–110266. 2 indexed citations
2.
Lin, Albert, Runzhe Yang, Sven Dorkenwald, et al.. (2024). Network statistics of the whole-brain connectome of Drosophila. Nature. 634(8032). 153–165. 35 indexed citations
3.
Bushey, Daniel, Feng Li, Karen L Hibbard, et al.. (2023). Hierarchical architecture of dopaminergic circuits enables second-order conditioning in Drosophila. eLife. 12. 18 indexed citations
4.
Hirsch, P. B., Léo Guignard, Katie McDole, et al.. (2022). Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations. Nature Biotechnology. 41(1). 44–49. 16 indexed citations
5.
Nguyen, Tri, Logan A. Thomas, Jeff L. Rhoades, et al.. (2022). Structured cerebellar connectivity supports resilient pattern separation. Nature. 613(7944). 543–549. 24 indexed citations
6.
Sheridan, Arlo, Tri Nguyen, Wei-Chung Allen Lee, et al.. (2022). Local shape descriptors for neuron segmentation. Nature Methods. 20(2). 295–303. 17 indexed citations
7.
Baker, Christa A., Claire McKellar, Rich Pang, et al.. (2022). Neural network organization for courtship-song feature detection in Drosophila. Current Biology. 32(15). 3317–3333.e7. 14 indexed citations
8.
Buhmann, Julia, Arlo Sheridan, Philipp Schlegel, et al.. (2021). Automatic detection of synaptic partners in a whole-brain Drosophila electron microscopy data set. Nature Methods. 18(7). 771–774. 75 indexed citations
9.
Phelps, Jasper S., David G. C. Hildebrand, Brett J. Graham, et al.. (2021). Reconstruction of motor control circuits in adult Drosophila using automated transmission electron microscopy. Cell. 184(3). 759–774.e18. 117 indexed citations
10.
Lundberg, Emma, Jan Funke, Virginie Uhlmann, et al.. (2021). Which image-based phenotypes are most promising for using AI to understand cellular functions and why?. Cell Systems. 12(5). 384–387. 1 indexed citations
11.
Heinrich, Larissa, Davis Bennett, David Ackerman, et al.. (2021). Whole-cell organelle segmentation in volume electron microscopy. Nature. 599(7883). 141–146. 157 indexed citations
12.
Buhmann, Julia & Jan Funke. (2021). funkelab/synful_fafb: v1.0. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Kuan, Aaron T., Jasper S. Phelps, Logan A. Thomas, et al.. (2020). Dense neuronal reconstruction through X-ray holographic nano-tomography. Nature Neuroscience. 23(12). 1637–1643. 88 indexed citations
14.
Plaza, Stephen M. & Jan Funke. (2018). Analyzing Image Segmentation for Connectomics. Frontiers in Neural Circuits. 12. 102–102. 9 indexed citations
15.
Funke, Jan, Fabian Tschopp, Arlo Sheridan, et al.. (2018). Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(7). 1669–1680. 96 indexed citations
16.
Funke, Jan, Fabian Tschopp, Arlo Sheridan, et al.. (2017). A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.. arXiv (Cornell University). 10 indexed citations
17.
Funke, Jan, et al.. (2017). TED: A Tolerant Edit Distance for segmentation evaluation. Methods. 115. 119–127. 4 indexed citations
18.
Funke, Jan, et al.. (2013). Segmented anisotropic ssTEM dataset of neural tissue. Figshare. 0–0. 11 indexed citations
19.
Funke, Jan & Tobias Pietzsch. (2009). A Framework For Evaluating Visual SLAM. 69.1–69.11. 9 indexed citations
20.
Ebel, Heinrich, Klaus Schomäcker, Attila Balogh, et al.. (2001). High Cervical Spinal Cord Stimulation (CSCS) Increases Regional Cerebral Blood Flow After Induced Subarachnoid Haemorrhage in Rats. min - Minimally Invasive Neurosurgery. 44(3). 167–171. 22 indexed citations

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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