Ran Kang

1.8k citations
72 papers · 1.2k indexed · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

Ran Kang

63 papers receiving 1.2k citations

Peers

Ran Kang
Comparison fields: 5 of 126
  • Cancer Research 221
  • Genetics 141
  • Urology 80
  • Pathology and Forensic Medicine 180
  • Pharmacology 139
Replace Ditte Caroline Andersen with:
Ditte Caroline Andersen Denmark
Leslie Chang United States
Anna Neve Italy
Anja Niehoff Germany
Naoki Kondo Japan
Song Wu China
Kousuke Iba Japan
James M. Mok United States
Cedo M. Bagi United States
Fayez Safadi United States
Ran Kang relative to Ditte Caroline Andersen Denmark Ditte Caroline Andersen's profile →
Citations per field
00.5×3.2×
Ditte Caroline Andersen · 1×
Citations per year

Countries citing papers authored by Ran Kang

Since Specialization
Citations

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

Fields of papers citing papers by Ran Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013110
2 201599
3
METTL3 enhances cell adhesion through stabilizing integrin β1 mRNA via an m6A-HuR-dependent mechanism in prostatic carcinoma.
202063
4 201448
5 202347
6 201644
7 201739
8 201537
9 201733
10 201828
11 201927
12 201327
13 201326
14 201826
15 201825
16 202324
17 202224
18 201824
19 202122
20 202420

About Ran Kang

Ran Kang is a scholar working on Urology, Pathology and Forensic Medicine, Cancer Research, Pharmacology and Psychiatry and Mental health, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (12 papers), Musculoskeletal pain and rehabilitation (9 papers), Cancer-related molecular mechanisms research (7 papers), Urinary Bladder and Prostate Research (6 papers), Prostate Cancer Treatment and Research (6 papers), RNA modifications and cancer (6 papers), Sexual function and dysfunction studies (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Cancer Research (221 citations), Genetics (141 citations), Urology (80 citations), Pathology and Forensic Medicine (180 citations) and Pharmacology (139 citations). Ran Kang has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Ermao Li, Cody Bünger, Shankun Zhao, Lin Xie, Xiaolan Wang, Zhigang Zhao, Lianmin Luo, Luhao Liu, Jintai Luo and Lars Bolund. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, The Journal of Sexual Medicine, Scientific Reports, The Prostate and International Journal of Biological Sciences.

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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