Zhen Nan

800 citations
22 papers · 599 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Immune cells in cancer

Papers in

    • Immune cells in cancer 3
    • Immunotherapy and Immune Responses 2
    • Circular RNAs in diseases 3
    • Extracellular vesicles in disease 2

Zhen Nan

20 papers receiving 597 citations

Peers

Zhen Nan
Comparison fields: 5 of 79
  • Cancer Research 133
  • Immunology 135
  • Genetics 58
  • Molecular Biology 274
  • Genetics 93
Replace Shan Cao with:
Shan Cao China
Huaxin Zhou China
Wenfeng He China
Haihong Qin China
Xiumin Zhou China
Mohd Nizam Mansoori India
Donghua He China
Sumeet Solanki United States
Adar Zinger Israel
Dianbo Yao China
Zhen Nan relative to Shan Cao China Shan Cao's profile →
Citations per field
00.5×3.1×
Shan Cao · 1×
Citations per year

Countries citing papers authored by Zhen Nan

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019146
2 201788
3 201884
4 201742
5 201734
6 202329
7 201926
8 201822
9 201921
10 201818
11 201816
12 201914
13 202014
14 201813
15 202012
16 20228
17 20195
18 20223
19 20223
20 20181

About Zhen Nan

Zhen Nan is a scholar working on Immunology, Molecular Biology, Cancer Research, Genetics and Genetics, having authored 22 papers that have together received 599 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Circular RNAs in diseases (3 papers), Immune cells in cancer (3 papers), Mesenchymal stem cell research (3 papers), Inflammatory Bowel Disease (3 papers), Music Technology and Sound Studies (2 papers), Extracellular vesicles in disease (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Cancer Research (133 citations), Immunology (135 citations), Genetics (58 citations), Molecular Biology (274 citations) and Genetics (93 citations). Zhen Nan has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Heng Fan, Yalan Dong, Hui Wu, Xingxing Liu, Qianyun Chen, Shuangjiao Deng, Zhexing Shou, Meng Xu, Yujin Liu and Yujin Liu. Their work appears in journals such as International Immunopharmacology, Biochemical and Biophysical Research Communications, Medicine, Molecular Immunology and Frontiers in Bioscience-Landmark.

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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