Bálint Scheich

506 citations
18 papers · 374 indexed · h-index 9
Topics
Neuropeptides and Animal Physiology (6 papers)Pain Mechanisms and Treatments (5 papers)Glioma Diagnosis and Treatment (3 papers)

In The Last Decade

Bálint Scheich

18 papers receiving 371 citations

Peers

Bálint Scheich
Comparison fields: 5 of 77
  • Cellular and Molecular Neuroscience 161
  • Molecular Biology 139
  • Physiology 107
  • Behavioral Neuroscience 51
  • Sensory Systems 42
Replace Antonio M. G. de Diego with:
Antonio M. G. de Diego Spain
Christian Grassl Brazil
Thomas Lorivel France
Kaizheng Duan United States
Kuei-Sen Hsu Taiwan
Dingge Li United States
E. Dobó Hungary
Kevin N. Boyd United States
Paolo Garofalo Italy
Silvia Araneda France
Bálint Scheich relative to Antonio M. G. de Diego Spain Antonio M. G. de Diego's profile →
Citations per field
00.5×1.5×1.8×
Antonio M. G. de Diego · 1×
Citations per year

Countries citing papers authored by Bálint Scheich

Since Specialization
Citations

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

Fields of papers citing papers by Bálint Scheich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bálint Scheich

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

All Works

18 of 18 papers shown
#WorkIndexed citations
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3 1
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5 3
6 3
7
[Classical pathology and basic concepts of the current WHO classification (5th edition) of central nervous system tumors].
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8 8
9 22
10 6
11 9
12 20
13 25
14 37
15 41
16 23
17 45
18 125

About Bálint Scheich

Bálint Scheich is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Sensory Systems, having authored 18 papers that have together received 374 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (5 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Behavioral Neuroscience (51 citations), Biological Psychiatry (23 citations) and Cellular and Molecular Neuroscience (161 citations). Bálint Scheich has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Zsuzsanna Helyes, Éva Borbély, Balázs Gaszner, Janós Szolcsányi, István M. Ábrahám, Éva Szőke, Valéria Tékus, Erika Pintér, Zsófia Hajna and Agnes I. Hunyady. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Neuroscience.

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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