Matthias Zunhammer

1.4k total citations
22 papers, 820 citations indexed

About

Matthias Zunhammer is a scholar working on Cognitive Neuroscience, Physiology and Psychiatry and Mental health. According to data from OpenAlex, Matthias Zunhammer has authored 22 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 9 papers in Physiology and 6 papers in Psychiatry and Mental health. Recurrent topics in Matthias Zunhammer's work include Pain Management and Placebo Effect (9 papers), Pain Mechanisms and Treatments (8 papers) and Psychosomatic Disorders and Their Treatments (4 papers). Matthias Zunhammer is often cited by papers focused on Pain Management and Placebo Effect (9 papers), Pain Mechanisms and Treatments (8 papers) and Psychosomatic Disorders and Their Treatments (4 papers). Matthias Zunhammer collaborates with scholars based in Germany, Hungary and United States. Matthias Zunhammer's co-authors include Ulrike Bingel, Volker Busch, Peter Eichhammer, Tor D. Wager, Tamás Spisák, Nicole R. Hoft, Marissa A. Ehringer, Tobias Schmidt‐Wilcke, Zsigmond Tamás Kincses and Bálint Kincses and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Matthias Zunhammer

22 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthias Zunhammer Germany 14 352 254 178 131 110 22 820
Arthur Craig United States 10 311 0.9× 175 0.7× 250 1.4× 174 1.3× 97 0.9× 10 740
Kazuki Hyodo Japan 14 444 1.3× 212 0.8× 114 0.6× 90 0.7× 54 0.5× 25 1.2k
Vanda Faria Sweden 18 489 1.4× 168 0.7× 248 1.4× 339 2.6× 206 1.9× 37 1.1k
Davide Duzzi Italy 13 508 1.4× 148 0.6× 170 1.0× 100 0.8× 79 0.7× 17 675
Leslie Sherlin United States 17 533 1.5× 199 0.8× 197 1.1× 98 0.7× 107 1.0× 31 911
Xuejing Lu China 17 375 1.1× 132 0.5× 143 0.8× 101 0.8× 107 1.0× 55 687
Elia Valentini Italy 19 727 2.1× 316 1.2× 156 0.9× 124 0.9× 56 0.5× 44 1.1k
Flávia Paes Brazil 21 389 1.1× 153 0.6× 171 1.0× 200 1.5× 202 1.8× 72 1.1k
Katrina Carlsson Sweden 6 797 2.3× 207 0.8× 187 1.1× 269 2.1× 84 0.8× 7 1.0k
Sandra Kamping Germany 18 604 1.7× 154 0.6× 215 1.2× 55 0.4× 69 0.6× 31 975

Countries citing papers authored by Matthias Zunhammer

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Zunhammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Zunhammer

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Zunhammer. A scholar is included among the top collaborators of Matthias Zunhammer 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 Matthias Zunhammer. Matthias Zunhammer 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.
Kotikalapudi, Raviteja, Bálint Kincses, Matthias Zunhammer, et al.. (2023). Brain morphology predicts individual sensitivity to pain: a multicenter machine learning approach. Pain. 164(11). 2516–2527. 11 indexed citations
2.
Zunhammer, Matthias, et al.. (2022). Savor the flavor: A randomized double‐blind study assessing taste‐enhanced placebo analgesia in healthy volunteers. Clinical and Translational Science. 15(11). 2709–2719. 4 indexed citations
3.
Veréb, Dániel, Bálint Kincses, Tamás Spisák, et al.. (2021). Resting-state functional heterogeneity of the right insula contributes to pain sensitivity. Scientific Reports. 11(1). 22945–22945. 9 indexed citations
4.
Witte, A. Veronica, et al.. (2021). Network properties and regional brain morphology of the insular cortex correlate with individual pain thresholds. Human Brain Mapping. 42(15). 4896–4908. 14 indexed citations
5.
Kleine‐Borgmann, Julian, Katharina Schmidt, Matthias Zunhammer, et al.. (2021). Does pain modality play a role in the interruptive function of acute visceral compared with somatic pain?. Pain. 163(4). 735–744. 9 indexed citations
6.
Spisák, Tamás, Bálint Kincses, Matthias Zunhammer, et al.. (2020). Pain-free resting-state functional brain connectivity predicts individual pain sensitivity. Nature Communications. 11(1). 187–187. 83 indexed citations
7.
Spisák, Tamás, Matthias Zunhammer, Ulrike Bingel, et al.. (2018). Probabilistic TFCE: A generalized combination of cluster size and voxel intensity to increase statistical power. NeuroImage. 185. 12–26. 73 indexed citations
8.
Zunhammer, Matthias, et al.. (2018). The effect of dopamine on conditioned placebo analgesia in healthy individuals: a double-blind randomized trial. Psychopharmacology. 235(9). 2587–2595. 12 indexed citations
9.
Zunhammer, Matthias, Ulrike Bingel, & Tor D. Wager. (2018). Placebo Effects on the Neurologic Pain Signature. JAMA Neurology. 75(11). 1321–1321. 106 indexed citations
10.
Zunhammer, Matthias, et al.. (2017). The effects of treatment failure generalize across different routes of drug administration. Science Translational Medicine. 9(393). 52 indexed citations
11.
Zunhammer, Matthias, et al.. (2016). Pain modulation by intranasal oxytocin and emotional picture viewing — a randomized double-blind fMRI study. Scientific Reports. 6(1). 31606–31606. 26 indexed citations
12.
Zunhammer, Matthias, et al.. (2015). Effects of Intranasal Oxytocin on Thermal Pain in Healthy Men. Psychosomatic Medicine. 77(2). 156–166. 33 indexed citations
13.
Zunhammer, Matthias, et al.. (2015). Theory of Mind and Emotional Awareness in Chronic Somatoform Pain Patients. PLoS ONE. 10(10). e0140016–e0140016. 37 indexed citations
14.
Zunhammer, Matthias, Peter Eichhammer, & Volker Busch. (2014). Sleep Quality during Exam Stress: The Role of Alcohol, Caffeine and Nicotine. PLoS ONE. 9(10). e109490–e109490. 71 indexed citations
15.
Zunhammer, Matthias, et al.. (2013). Somatic Symptoms Evoked by Exam Stress in University Students: The Role of Alexithymia, Neuroticism, Anxiety and Depression. PLoS ONE. 8(12). e84911–e84911. 79 indexed citations
16.
Zunhammer, Matthias, Peter Eichhammer, & Volker Busch. (2013). Do Cardiorespiratory Variables Predict the Antinociceptive Effects of Deep and Slow Breathing?. Pain Medicine. 14(6). 843–854. 29 indexed citations
17.
Zunhammer, Matthias, P. Eichhammer, Jason R. Franz, G. Hajak, & V Busch. (2012). Effects of acupuncture needle penetration on motor system excitability. Neurophysiologie Clinique. 42(4). 225–230. 11 indexed citations
18.
Zunhammer, Matthias, Berthold Langguth, Michael Landgrebe, et al.. (2010). Modulation of human motor cortex excitability by valproate. Psychopharmacology. 215(2). 277–280. 12 indexed citations
19.
Zunhammer, Matthias, et al.. (2010). rTMS over the cerebellum modulates temperature detection and pain thresholds through peripheral mechanisms. Brain stimulation. 4(4). 210–217.e1. 19 indexed citations
20.
Ehringer, Marissa A., Nicole R. Hoft, & Matthias Zunhammer. (2009). Reduced alcohol consumption in mice with access to a running wheel. Alcohol. 43(6). 443–452. 75 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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