Jun‐Jun Kang

641 citations
22 papers · 392 · h-index 13

Impact in

Papers in

Jun‐Jun Kang

22 papers receiving 389 citations

Peers

Jun‐Jun Kang
Comparison fields: 5 of 74
  • Orthodontics 56
  • General Dentistry 20
  • Developmental Neuroscience 32
  • Endocrine and Autonomic Systems 42
  • Neurology 45
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H. Aars Norway
Akie Honmura Japan
Alastair Macdonald United Kingdom
Yumiko Yamamoto Japan
Maki Tsumura Japan
Erick Gómez‐Apo Mexico
Heba Kalbouneh Jordan
Eran Gabay Israel
Xiaotang Ma United States
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐Jun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐Jun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐Jun Kang. 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 Jun‐Jun Kang. The network helps show where Jun‐Jun Kang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 202254
3 201246
4 202136
5 202025
6 202320
7 201918
8 201618
9 202117
10
Astrocytic expression of cannabinoid type 1 receptor in rat and human sclerotic hippocampi.
201414
11 202113
12 201313
13 201312
14 20189
15 20228
16 20208
17 20216
18
Mechanism of mitogenic effect of fluoride on fetal rat osteoblastic cells: evidence for Shc, Grb2 and P-CREB-dependent pathways.
19996
19 20132
20 20251

About Jun‐Jun Kang

Jun‐Jun Kang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 22 papers that have together received 392 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Neonatal and fetal brain pathology (5 papers), Cannabis and Cannabinoid Research (4 papers), Dental materials and restorations (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroendocrine regulation and behavior (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Orthodontics (56 citations), General Dentistry (20 citations), Developmental Neuroscience (32 citations), Endocrine and Autonomic Systems (42 citations) and Neurology (45 citations). Jun‐Jun Kang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yingying Liu, Ling Zhang, Jihua Chen, Shengxi Wu, Xiaoyang Liu, Yazhou Wang, Dingding Yang, Zihan Xi, Kun Zhang and Huan Yu. Their work appears in journals such as Experimental Neurology, Frontiers in Cellular Neuroscience, Cell Metabolism, Brain Research and Translational research.

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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