Thomas Funck

1.7k total citations
20 papers, 429 citations indexed

About

Thomas Funck is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Thomas Funck has authored 20 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Cognitive Neuroscience and 5 papers in Physiology. Recurrent topics in Thomas Funck's work include Advanced Neuroimaging Techniques and Applications (8 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (5 papers). Thomas Funck is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (8 papers), Neural dynamics and brain function (6 papers) and Visual perception and processing mechanisms (5 papers). Thomas Funck collaborates with scholars based in Germany, United States and Canada. Thomas Funck's co-authors include Alexander Thiel, Nicola Palomero‐Gallagher, Alan C. Evans, Karl Zilles, Lucija Rapan, Meiqi Niu, Mary‐Ann Fitzcharles, Petra Schweinhardt, Florence B. Pomares and Steven Roy and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Thomas Funck

20 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Funck Germany 12 255 128 109 75 64 20 429
Godber Mathis Godbersen Austria 15 263 1.0× 152 1.2× 85 0.8× 48 0.6× 76 1.2× 38 510
S Teipel Germany 5 169 0.7× 115 0.9× 134 1.2× 154 2.1× 44 0.7× 9 357
Gabriel Castrillón Colombia 10 329 1.3× 142 1.1× 139 1.3× 158 2.1× 95 1.5× 18 573
Zhongwei Guo China 13 252 1.0× 118 0.9× 121 1.1× 48 0.6× 43 0.7× 32 417
Katrine Rojkova France 4 234 0.9× 148 1.2× 99 0.9× 131 1.7× 66 1.0× 6 484
H.-J. Möller Germany 8 250 1.0× 83 0.6× 192 1.8× 70 0.9× 70 1.1× 16 480
Florian U. Fischer Germany 11 260 1.0× 191 1.5× 116 1.1× 109 1.5× 35 0.5× 20 419
Jorge Arrubla Germany 13 358 1.4× 157 1.2× 64 0.6× 26 0.3× 27 0.4× 22 595
Alexander J. Barnett Canada 14 477 1.9× 106 0.8× 137 1.3× 40 0.5× 46 0.7× 25 577

Countries citing papers authored by Thomas Funck

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Funck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Funck

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Funck. A scholar is included among the top collaborators of Thomas Funck 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 Thomas Funck. Thomas Funck 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.
Balan, Puiu F., Qi Zhu, Xiaolian Li, et al.. (2024). MEBRAINS 1.0: A new population-based macaque atlas. Imaging Neuroscience. 2. 6 indexed citations
2.
Niu, Meiqi, Lucija Rapan, Seán Froudist‐Walsh, et al.. (2024). Multimodal mapping of macaque monkey somatosensory cortex. Progress in Neurobiology. 239. 102633–102633. 1 indexed citations
3.
Ophey, Anja, Anna Zumbansen, Thomas Funck, et al.. (2024). Predicting Language Function Post-Stroke: A Model-Based Structural Connectivity Approach. Neurorehabilitation and neural repair. 38(6). 447–459. 2 indexed citations
4.
Funck, Thomas, Giovanni Morana, Andrea Rossi, et al.. (2024). A New Tool for Extracting Static and Dynamic Parameters from [18F]F-DOPA PET/CT in Pediatric Gliomas. Journal of Clinical Medicine. 13(20). 6252–6252. 1 indexed citations
5.
Rapan, Lucija, Seán Froudist‐Walsh, Meiqi Niu, et al.. (2023). Cytoarchitectonic, receptor distribution and functional connectivity analyses of the macaque frontal lobe. eLife. 12. 19 indexed citations
6.
Levitis, Elizabeth, Thomas Funck, Vladimir Hachinski, et al.. (2022). Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer’s disease. Brain Communications. 4(3). fcac085–fcac085. 7 indexed citations
7.
Zumbansen, Anna, Latifa Lazzouni, Anja Ophey, et al.. (2022). Differential Effects of Speech and Language Therapy and rTMS in Chronic Versus Subacute Post-stroke Aphasia: Results of the NORTHSTAR-CA Trial. Neurorehabilitation and neural repair. 36(4-5). 306–316. 17 indexed citations
8.
Niu, Meiqi, Lucija Rapan, Thomas Funck, et al.. (2021). Organization of the macaque monkey inferior parietal lobule based on multimodal receptor architectonics. NeuroImage. 231. 117843–117843. 16 indexed citations
9.
Rapan, Lucija, Meiqi Niu, Ling Zhao, et al.. (2021). Receptor architecture of macaque and human early visual areas: not equal, but comparable. Brain Structure and Function. 227(4). 1247–1263. 8 indexed citations
10.
Rapan, Lucija, Seán Froudist‐Walsh, Meiqi Niu, et al.. (2020). Multimodal 3D atlas of the macaque monkey motor and premotor cortex. NeuroImage. 226. 117574–117574. 26 indexed citations
11.
Wagstyl, Konrad, Guillem Cucurull, Claude Lepage, et al.. (2020). BigBrain 3D atlas of cortical layers: Cortical and laminar thickness gradients diverge in sensory and motor cortices. PLoS Biology. 18(4). e3000678–e3000678. 109 indexed citations
12.
13.
Jeon, Seun, Jae Myeong Kang, Seongho Seo, et al.. (2019). Topographical Heterogeneity of Alzheimer’s Disease Based on MR Imaging, Tau PET, and Amyloid PET. Frontiers in Aging Neuroscience. 11. 211–211. 38 indexed citations
14.
Pomares, Florence B., Steven Roy, Thomas Funck, et al.. (2019). Upregulation of cortical GABAA receptor concentration in fibromyalgia. Pain. 161(1). 74–82. 36 indexed citations
15.
Funck, Thomas, Kevin Larcher, Paule‐Joanne Toussaint, Alan C. Evans, & Alexander Thiel. (2018). APPIAN: Automated Pipeline for PET Image Analysis. Frontiers in Neuroinformatics. 12. 64–64. 13 indexed citations
16.
Huntenburg, Julia M., Konrad Wagstyl, Christopher J. Steele, et al.. (2017). Laminar Python: tools for cortical depth-resolved analysis of high-resolution brain imaging data in Python. SHILAP Revista de lepidopterología. 3. e12346–e12346. 1 indexed citations
17.
Schirrmacher, Ralf, Melvin K. Dea, Wolf‐Dieter Heiss, et al.. (2016). Which Aspects of Stroke Do Animal Models Capture? A Multitracer Micro-PET Study of Focal Ischemia with Endothelin-1. Cerebrovascular Diseases. 41(3-4). 139–147. 13 indexed citations
18.
Pomares, Florence B., Thomas Funck, Natasha A. Feier, et al.. (2016). Histological Underpinnings of Grey Matter Changes in Fibromyalgia Investigated Using Multimodal Brain Imaging. Journal of Neuroscience. 37(5). 1090–1101. 69 indexed citations
19.
Funck, Thomas, Claude Lepage, Jeffrey Minuk, et al.. (2016). Assessing neuronal density in peri‐infarct cortex with PET: Effects of cortical topology and partial volume correction. Human Brain Mapping. 38(1). 326–338. 8 indexed citations
20.
Funck, Thomas, Caroline Paquette, Alan C. Evans, & Alexander Thiel. (2014). Surface-based partial-volume correction for high-resolution PET. NeuroImage. 102. 674–687. 17 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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