Xia Kong

1.4k citations
36 papers · 1.1k · h-index 18

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • Ubiquitin and proteasome pathways 2
    • Mesenchymal stem cell research 6

Xia Kong

33 papers receiving 1.1k citations

Peers

Xia Kong
Comparison fields: 5 of 92
  • Genetics 288
  • Cancer Research 184
  • Biomaterials 174
  • Molecular Biology 484
  • Surgery 267
Replace Yong-Zhang Huang with:
Yong-Zhang Huang China
Lan Luo China
Masayoshi Iwasaki Japan
Jia Huang China
Yunjun Liao China
Witold N. Nowak Poland
Elena Padín-Iruegas Spain
Jin‐Sook Kwon South Korea
Qianwen Shang China
Yan Meng China
Xia Kong relative to Yong-Zhang Huang China Yong-Zhang Huang's profile →
Citations per field
00.5×3.5×
Yong-Zhang Huang · 1×
Citations per year

Countries citing papers authored by Xia Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xia Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011209
2 2009127
3 200990
4 201183
5 200979
6 201776
7 201762
8 201061
9 201245
10 201130
11 200930
12 200929
13 202028
14 201723
15 202122
16 202420
17 201720
18 201317
19 201216
20 201812

About Xia Kong

Xia Kong is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Pathology and Forensic Medicine, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (6 papers), Angiogenesis and VEGF in Cancer (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Ubiquitin and proteasome pathways (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Peptidase Inhibition and Analysis (2 papers), MicroRNA in disease regulation (2 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Genetics (288 citations), Cancer Research (184 citations), Biomaterials (174 citations), Molecular Biology (484 citations) and Surgery (267 citations). Xia Kong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun‐Ming Tang, Jianye Yang, Yong-Zhang Huang, Linyun Guo, Fei Zheng, Jianing Wang, Lei Zhang, Shi‐You Chen, Yu Wan and Jia‐Ning Wang. Their work appears in journals such as Molecules and Cells, Journal of Translational Medicine, Molecular Biology Reports, Cancer Cell International and Cancer Biomarkers.

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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