Kejun Nan

3.0k citations
60 papers · 1.6k indexed · h-index 24
    • Cancer-related molecular mechanisms research 16
    • MicroRNA in disease regulation 11
    • Cancer, Lipids, and Metabolism 7
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis 6
  • Oncology top 10%
    • Cancer-related Molecular Pathways 7
    • Lung Cancer Research Studies 6
    • RNA modifications and cancer 7
    • Cholangiocarcinoma and Gallbladder Cancer Studies 5

Kejun Nan

59 papers receiving 1.6k citations

Peers

Kejun Nan
Comparison fields: 5 of 94
  • Cancer Research 829
  • Hepatology 148
  • Oncology 435
  • Molecular Biology 1.1k
  • Pathology and Forensic Medicine 128
Replace Hung‐Wei Pan with:
Hung‐Wei Pan Taiwan
Lui Ng Hong Kong
Tae Matsumura Japan
Shanzhou� Huang China
Miriam Farina Italy
Le‐Qun Li China
Daimin Xiang China
Cheol-Keun Park South Korea
Chiara Raggi Italy
Chang Han United States
Kejun Nan relative to Hung‐Wei Pan Taiwan Hung‐Wei Pan's profile →
Citations per field
00.5×1.5×2.4×
Hung‐Wei Pan · 1×
Citations per year

Countries citing papers authored by Kejun Nan

Since Specialization
Citations

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

Fields of papers citing papers by Kejun Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202021
2 202017
3 201817
4 201758
5 201715
6 201712
7 20165
8 201619
9 201622
10 201530
11 201571
12 201449
13 201344
14 20133
15 201314
16 201212
17 201118
18 201133
19 201011
20 200510

About Kejun Nan

Kejun Nan is a scholar working on Cancer Research, Oncology, Hepatology, Applied Microbiology and Biotechnology and Molecular Biology, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (11 papers), Cancer-related Molecular Pathways (7 papers), Cancer, Lipids, and Metabolism (7 papers), RNA modifications and cancer (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Lung Cancer Research Studies (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (5 papers). The work is most often cited by research in Cancer Research (829 citations), Hepatology (148 citations), Oncology (435 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (128 citations). Kejun Nan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tao Tian, Hui Guo, Zhiping Ruan, Mo‐qi Lv, Qiuping Liu, Dang‐xia Zhou, Shuhong Zhao, Lili Jiang, Xuan Liang and Xiao Fu. Their work appears in journals such as Oncotarget, Medicine, Cancer Management and Research, Journal of Clinical Oncology and World Journal of Gastroenterology.

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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