Dan Bing

791 citations
41 papers · 536 indexed · h-index 12

Impact in

    • Hearing, Cochlea, Tinnitus, Genetics
  • Neurology top 5%
    • Vestibular and auditory disorders
    • Cerebral Venous Sinus Thrombosis

Papers in

    • Hearing, Cochlea, Tinnitus, Genetics 19
    • Vestibular and auditory disorders 13
    • Cerebral Venous Sinus Thrombosis 4

Dan Bing

36 papers receiving 528 citations

Peers

Dan Bing
Comparison fields: 5 of 88
  • Sensory Systems 302
  • Neurology 158
  • Speech and Hearing 82
  • Cognitive Neuroscience 212
  • Health Informatics 10
Replace André Luiz Lopes Sampaio with:
André Luiz Lopes Sampaio Brazil
Hiroaki Shimogori Japan
Anette Fransson Sweden
Thomas Schrepfer United States
Osamu Mizukoshi Japan
Gérard Loquet Switzerland
Joseph Chen Canada
Krzysztof Morawski Poland
Christopher Degg United Kingdom
Ryotaro Omichi Japan
Dan Bing relative to André Luiz Lopes Sampaio Brazil André Luiz Lopes Sampaio's profile →
Citations per field
00.5×
André Luiz Lopes Sampaio · 1×
Citations per year

Countries citing papers authored by Dan Bing

Since Specialization
Citations

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

Fields of papers citing papers by Dan Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201697
2 201888
3 201551
4 201847
5 201031
6 201129
7 201817
8 202017
9 201816
10 202213
11 201913
12 201311
13 201910
14 20159
15 20198
16 20238
17 20178
18 20167
19 20107
20 20127

About Dan Bing

Dan Bing is a scholar working on Sensory Systems, Neurology, Developmental Biology, Cognitive Neuroscience and Microbiology, having authored 41 papers that have together received 536 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (19 papers), Vestibular and auditory disorders (13 papers), Hearing Loss and Rehabilitation (6 papers), Cerebral Venous Sinus Thrombosis (4 papers), Ion channel regulation and function (4 papers), RNA Research and Splicing (3 papers), Animal Vocal Communication and Behavior (2 papers) and Noise Effects and Management (2 papers). The work is most often cited by research in Sensory Systems (302 citations), Neurology (158 citations), Speech and Hearing (82 citations), Cognitive Neuroscience (212 citations) and Health Informatics (10 citations). Dan Bing has collaborated with scholars based in China, Germany and Israel. Frequent co-authors include Marlies Knipper, Lukas Rüttiger, Kun Ni, Dorit Möhrle, Sze Chim Lee, Ulrike Zimmermann, Jing Guan, Lan Yu, Hanqi Chu and Lidong Zhao. Their work appears in journals such as Journal of Cellular Biochemistry, Diagnostic Microbiology and Infectious Disease, American Journal of Otolaryngology, Clinical Otolaryngology and Scientific Reports.

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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