Xiaojing Kang

697 citations
41 papers · 304 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cutaneous Melanoma Detection and Management

Papers in

Xiaojing Kang

38 papers receiving 302 citations

Peers

Xiaojing Kang
Comparison fields: 5 of 75
  • Cancer Research 50
  • Oncology 56
  • Immunology 31
  • Cell Biology 23
  • Pathology and Forensic Medicine 23
Replace Juan Zhou with:
Juan Zhou China
Sora Jeon South Korea
Akash Gupta United States
Xiaoying Guan China
Peng‐Chan Lin Taiwan
Wenjing Liu China
Jingtai Zhi China
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Xiaojing Kang relative to Juan Zhou China Juan Zhou's profile →
Citations per field
00.5×1.5×
Juan Zhou · 1×
Citations per year

Countries citing papers authored by Xiaojing Kang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaojing 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 Xiaojing Kang Line = papers co-authored together Xiaojing Kang 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 201937
2 201436
3 202326
4 202220
5 201618
6 202217
7 202017
8 201816
9 202014
10 201910
11 201910
12 20179
13 20238
14 20248
15 20187
16 20196
17 20206
18 20236
19
Effects of cryptotanshinone and tanshinone A on proliferation, lipid synthesis and expression of androgen receptor mRNA in human sebocytes in vitro
20055
20 20163

About Xiaojing Kang

Xiaojing Kang is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Dermatology, having authored 41 papers that have together received 304 indexed citations. Recurring topics across this work include melanin and skin pigmentation (8 papers), Cancer-related molecular mechanisms research (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Melanoma and MAPK Pathways (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), RNA regulation and disease (3 papers), Dermatology and Skin Diseases (3 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cancer Research (50 citations), Oncology (56 citations), Immunology (31 citations), Cell Biology (23 citations) and Pathology and Forensic Medicine (23 citations). Xiaojing Kang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shirong Yu, Yuan Ding, Xiujuan Wu, Xiang Fang, Dezhi Zhang, Long Yu, Shengwei Tian, Ning Zhang, Min Li and Weidong Wu. Their work appears in journals such as Medicine, Scientific Reports, Journal of Functional Foods, BMC Genomics and Multimedia Systems.

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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