Rujun Kang

2.8k citations
23 papers · 2.2k indexed · h-index 20

Impact in

Papers in

Rujun Kang

22 papers receiving 2.2k citations

Peers

Rujun Kang
Comparison fields: 5 of 95
  • Cellular and Molecular Neuroscience 1.0k
  • Cell Biology 671
  • Molecular Biology 1.6k
  • Developmental Neuroscience 73
  • Neurology 85
Replace Zachary P. Wills with:
Zachary P. Wills United States
Hong Lin United States
Mark E. Graham Australia
Ruth Hogue‐Angeletti United States
Agnes Thalhammer United Kingdom
Byoung-Il Bae United States
Demet Araç United States
Renaldo C. Drisdel United States
Jonathan G. Hanley United Kingdom
Alaa El‐Husseini Canada
Rujun Kang relative to Zachary P. Wills United States Zachary P. Wills's profile →
Citations per field
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Zachary P. Wills · 1×
Citations per year

Countries citing papers authored by Rujun Kang

Since Specialization
Citations

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

Fields of papers citing papers by Rujun Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008450
2 2004258
3 2006246
4 2005219
5 2015131
6 1996105
7 2005101
8 201292
9 199987
10 201083
11 201679
12 201171
13 200463
14 200358
15 200250
16 201934
17 199632
18 201332
19 200920
20 199619

About Rujun Kang

Rujun Kang is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Immunology and Neurology, having authored 23 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Mitochondrial Function and Pathology (6 papers), Receptor Mechanisms and Signaling (5 papers), Ion channel regulation and function (5 papers), Cellular transport and secretion (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Cell Biology (671 citations), Molecular Biology (1.6k citations), Developmental Neuroscience (73 citations) and Neurology (85 citations). Rujun Kang has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Kun Huang, Alaa El-Husseini, Pamela Arstikaitis, Michael R. Hayden, Alaa El‐Husseini, Junmei Wan, William N. Green, Renaldo C. Drisdel, Nicholas G. Davis and Asher Mullard. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Neuron, Journal of Cell Science and Clinical Microbiology and Infection.

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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