Gábor Gerber

1.8k total citations · 1 hit paper
47 papers, 1.4k citations indexed

About

Gábor Gerber is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Gábor Gerber has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Physiology, 17 papers in Cellular and Molecular Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Gábor Gerber's work include Pain Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (14 papers) and Ion channel regulation and function (10 papers). Gábor Gerber is often cited by papers focused on Pain Mechanisms and Treatments (17 papers), Neuroscience and Neuropharmacology Research (14 papers) and Ion channel regulation and function (10 papers). Gábor Gerber collaborates with scholars based in Hungary, United States and United Kingdom. Gábor Gerber's co-authors include Mirjana Randić, Dong‐ho Youn, Kazuyuki Murase, Pan Dong Ryu, Gábor Varga, Ivan Kangrga, Jingquan Zhong, Clifford J. Woolf, Lucia G. Sivilotti and Marianna Király and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Gábor Gerber

45 papers receiving 1.4k citations

Hit Papers

Evaluation of the accuracy of intraoral scanners for comp... 2023 2026 2024 2025 2023 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gábor Gerber Hungary 20 752 684 512 152 152 47 1.4k
Fiona M. Boissonade United Kingdom 25 760 1.0× 711 1.0× 318 0.6× 243 1.6× 62 0.4× 72 1.8k
Masanori Nasu Japan 19 454 0.6× 618 0.9× 329 0.6× 69 0.5× 107 0.7× 48 1.1k
Jiefei Shen China 21 209 0.3× 346 0.5× 288 0.6× 112 0.7× 71 0.5× 73 1.1k
Hongwen He China 21 147 0.2× 377 0.6× 381 0.7× 67 0.4× 94 0.6× 61 1.2k
Yoshiyuki Shibukawa Japan 21 349 0.5× 373 0.5× 768 1.5× 59 0.4× 34 0.2× 80 1.5k
Alison R. Loescher United Kingdom 20 392 0.5× 369 0.5× 153 0.3× 248 1.6× 19 0.1× 51 1.2k
J Vilches Spain 13 443 0.6× 325 0.5× 231 0.5× 274 1.8× 53 0.3× 19 1.3k
Michael D. Kawaja Canada 26 1.6k 2.1× 297 0.4× 636 1.2× 203 1.3× 266 1.8× 73 2.4k
Takahiro Satoda Japan 19 278 0.4× 166 0.2× 295 0.6× 44 0.3× 16 0.1× 53 921
Weiwei Hou China 17 137 0.2× 183 0.3× 386 0.8× 70 0.5× 48 0.3× 41 1.1k

Countries citing papers authored by Gábor Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Gerber

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Gerber. A scholar is included among the top collaborators of Gábor Gerber 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 Gábor Gerber. Gábor Gerber 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
2.
Gede, Noémi, et al.. (2024). Comparison of implant placement and loading protocols for single anterior maxillary implants: A systematic review and network meta-analysis. Journal of Prosthetic Dentistry. 133(3). 677–688. 4 indexed citations
4.
Szabó, Bence, et al.. (2024). Maternal factors increase risk of orofacial cleft: a meta-analysis. Scientific Reports. 14(1). 28104–28104. 3 indexed citations
5.
Szabó, Bence, Péter Hegyi, Judit Borbély, et al.. (2023). Combined Casein Phosphopeptide-Amorphous Calcium Phosphate and Fluoride Is Not Superior to Fluoride Alone in Early Carious Lesions: A Meta-Analysis. Caries Research. 58(1). 1–16. 2 indexed citations
6.
Németh, A, László Márk Czumbel, Bence Szabó, et al.. (2023). Evaluation of the accuracy of intraoral scanners for complete-arch scanning: A systematic review and network meta-analysis. Journal of Dentistry. 137. 104636–104636. 63 indexed citations breakdown →
7.
Czumbel, László Márk, Bence Szabó, Péter Hegyi, et al.. (2023). Additional splint therapy has no superiority in myogenic temporomandibular disorders: A systematic review and meta-analysis of randomized controlled trials. Journal of Prosthodontic Research. 68(1). 12–19. 5 indexed citations
9.
Vág, János, et al.. (2021). Revisiting the vascularity of the keratinized gingiva in the maxillary esthetic zone. BMC Oral Health. 21(1). 160–160. 12 indexed citations
10.
Czumbel, László Márk, Alexandra Mikó, Dávid Németh, et al.. (2021). Orally Administered Probiotics Decrease Aggregatibacter actinomycetemcomitans but Not Other Periodontal Pathogenic Bacteria Counts in the Oral Cavity: A Systematic Review and Meta-Analysis. Frontiers in Pharmacology. 12. 682656–682656. 13 indexed citations
11.
Kerémi, Beáta, Katalin Márta, Nelli Farkas, et al.. (2020). Effects of Chlorine Dioxide on Oral Hygiene - A Systematic Review and Meta-analysis. Current Pharmaceutical Design. 26(25). 3015–3025. 19 indexed citations
12.
Csupor, Dezső, Tamás Lantos, Tivadar Kiss, et al.. (2019). The combination of hawthorn extract and camphor significantly increases blood pressure: A meta-analysis and systematic review. Phytomedicine. 63. 152984–152984. 5 indexed citations
13.
Király, Kornél, Alán Alpár, Csaba Fekete, et al.. (2018). Glial cell type-specific changes in spinal dipeptidyl peptidase 4 expression and effects of its inhibitors in inflammatory and neuropatic pain. Scientific Reports. 8(1). 3490–3490. 28 indexed citations
14.
Földes, Anna, Ákos Zsembery, Hidemitsu Harada, et al.. (2017). No Change in Bicarbonate Transport but Tight-Junction Formation Is Delayed by Fluoride in a Novel Ameloblast Model. Frontiers in Physiology. 8. 940–940. 14 indexed citations
15.
Youn, Dong‐ho, et al.. (2005). Altered long-term synaptic plasticity and kainate-induced Ca2+ transients in the substantia gelatinosa neurons in GLUK6-deficient mice. Molecular Brain Research. 142(1). 9–18. 11 indexed citations
17.
Gerber, Gábor, Jingquan Zhong, Dong‐ho Youn, & Mirjana Randić. (2000). Group II and group III metabotropic glutamate receptor agonists depress synaptic transmission in the rat spinal cord dorsal horn. Neuroscience. 100(2). 393–406. 92 indexed citations
18.
Thompson, Steve, Gábor Gerber, Lucia G. Sivilotti, & Clifford J. Woolf. (1992). Long duration ventral root potentials in the neonatal rat spinal cord in vitro; the effects of ionotropic and metabotropic excitatory amino acid receptor antagonists. Brain Research. 595(1). 87–97. 58 indexed citations
19.
Ryu, Pan Dong, Gábor Gerber, Kazuyuki Murase, & Mirjana Randić. (1988). Actions of calcitonin gene-related peptide on rat spinal dorsal horn neurons. Brain Research. 441(1-2). 357–361. 116 indexed citations
20.
Ryu, Pan Dong, Gábor Gerber, Kazuyuki Murase, & Mirjana Randić. (1988). Calcitonin gene-related peptide enhances calcium current of rat dorsal root ganglion neurons and spinal excitatory synaptic transmission. Neuroscience Letters. 89(3). 305–312. 74 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026