Cuihong Jia

838 citations
30 papers · 661 · h-index 18

Impact in

Papers in

Cuihong Jia

29 papers receiving 654 citations

Peers

Cuihong Jia
Comparison fields: 5 of 86
  • Sensory Systems 199
  • Developmental Neuroscience 104
  • Physiology 56
  • Cellular and Molecular Neuroscience 189
  • Neurology 79
Replace Emi Kiyokage with:
Emi Kiyokage Japan
Hea Jin Ryu South Korea
Sylvie Boisseau France
Colleen C. Hegg United States
Petra Ehling Germany
Rodrigo Herrera‐Molina Chile
Elías Utreras Chile
Valérie Coronas France
Covadonga Pañeda Spain
Angélique Ducray Switzerland
Cuihong Jia relative to Emi Kiyokage Japan Emi Kiyokage's profile →
Citations per field
00.5×3.5×
Emi Kiyokage · 1×
Citations per year

Countries citing papers authored by Cuihong Jia

Since Specialization
Citations

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

Fields of papers citing papers by Cuihong Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201665
2 201748
3 201046
4 201045
5 201036
6 202232
7 201329
8 201228
9 201027
10 201127
11 201827
12 201725
13 201823
14 201823
15 200723
16 200822
17 201120
18 201420
19 201515
20 200615

About Cuihong Jia

Cuihong Jia is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems, Molecular Biology, Developmental Neuroscience and Social Psychology, having authored 30 papers that have together received 661 indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (11 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Nerve injury and regeneration (5 papers), Neuroendocrine regulation and behavior (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), S100 Proteins and Annexins (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Sensory Systems (199 citations), Developmental Neuroscience (104 citations), Physiology (56 citations), Cellular and Molecular Neuroscience (189 citations) and Neurology (79 citations). Cuihong Jia has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Colleen C. Hegg, Theo Hagg, Matthew P. Keasey, Nishant P. Visavadiya, Kalpita Banerjee, Carlos Romero, Chelsea R. Hutch, Gary L. Wright, Diego Restrepo and Shami Kanekar. Their work appears in journals such as Experimental Neurology, Neuroscience, Cell Communication and Signaling, Toxicological Sciences and Neurobiology of Stress.

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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