B. Csillik

2.5k citations
137 papers · 2.3k · h-index 28

Impact in

Papers in

B. Csillik

131 papers receiving 2.1k citations

Peers

B. Csillik
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 1.3k
  • Developmental Neuroscience 211
  • Biological Psychiatry 82
  • Neurology 238
  • Physiology 669
Replace D.C. German with:
D.C. German United States
Kihachi Saito Japan
Robert P. Yasuda United States
Carl W. Cotman United States
Hisao Tago Canada
Maria Hadjiconstantinou United States
Masamichi Satoh Japan
Fernando Orrego Chile
Virginia L. Smith‐Swintosky United States
Shinobu C. Fujita Japan
B. Csillik relative to D.C. German United States D.C. German's profile →
Citations per field
00.5×1.5×2.2×
D.C. German · 1×
Citations per year

Countries citing papers authored by B. Csillik

Since Specialization
Citations

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

Fields of papers citing papers by B. Csillik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside B. Csillik, 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 B. Csillik Line = papers co-authored together B. Csillik links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1976152
2 1996108
3 198291
4 196877
5 196677
6 196668
7 198666
8 200859
9 198258
10 200453
11 196351
12
Degenerative atrophy and regenerative proliferation in the rat spinal cord.
197548
13 198747
14 196647
15
Functional structure of the post-synaptic membrane in the myoneural junction
196546
16 198844
17 200140
18 199338
19 199237
20 198534

About B. Csillik

B. Csillik is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Neurology, having authored 137 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Cholinesterase and Neurodegenerative Diseases (19 papers), Pain Mechanisms and Treatments (18 papers), Nerve injury and regeneration (10 papers), Cancer Treatment and Pharmacology (10 papers), Photoreceptor and optogenetics research (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Computational Drug Discovery Methods (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Developmental Neuroscience (211 citations), Biological Psychiatry (82 citations), Neurology (238 citations) and Physiology (669 citations). B. Csillik has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include Elizabeth Knyihár‐Csillik, Pasko Rakić, P. Kása, Elizabeth Knyihár, Ferenc Joó, F. Jo�, M. Földi, J. Fischer, Beáta Krisztin‐Péva and János Tajti. Their work appears in journals such as Journal of Neural Transmission, Cellular and Molecular Life Sciences, Nature, Journal of Histochemistry & Cytochemistry and Histochemistry and Cell Biology.

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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