Xia Shan

2.0k citations
36 papers · 1.1k · h-index 18

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Circular RNAs in diseases 6
    • Extracellular vesicles in disease 5
    • RNA Interference and Gene Delivery 2
    • MicroRNA in disease regulation 12
    • Cancer-related molecular mechanisms research 5

Xia Shan

33 papers receiving 1.1k citations

Peers

Xia Shan
Comparison fields: 5 of 84
  • Cancer Research 596
  • Genetics 121
  • Molecular Biology 603
  • Immunology 65
  • Internal Medicine 9
Replace Frederick Lang with:
Frederick Lang United States
Selena Mimmi Italy
Yunyan Wang China
Emily Clement France
Amaia Vilas‐Zornoza Spain
Hisashi Kubota Japan
Hongfang Chen China
Xia Shan relative to Frederick Lang United States Frederick Lang's profile →
Citations per field
00.5×5.8×
Frederick Lang · 1×
Citations per year

Countries citing papers authored by Xia Shan

Since Specialization
Citations

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

Fields of papers citing papers by Xia Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xia Shan, 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 Shan Line = papers co-authored together Xia Shan 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 2016147
2 2018113
3 2017111
4 201667
5 202160
6 201759
7 200955
8 201551
9 201846
10 201939
11 201734
12 201833
13 201932
14 201830
15 201728
16 201528
17 201724
18 201821
19 201216
20 202014

About Xia Shan

Xia Shan is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Oncology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Glioma Diagnosis and Treatment (8 papers), Circular RNAs in diseases (6 papers), Extracellular vesicles in disease (5 papers), Cancer-related molecular mechanisms research (5 papers), Immune cells in cancer (3 papers), Ferroptosis and cancer prognosis (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (596 citations), Genetics (121 citations), Molecular Biology (603 citations), Immunology (65 citations) and Internal Medicine (9 citations). Xia Shan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Zhu, Xin Zhou, Wen‐Fang Cheng, Tongshan Wang, Huo Zhang, Zebo Huang, Lian‐Wen Qi, Danxia Zhu, Ping Liu and Wei Wen. Their work appears in journals such as Oncotarget, Gene, Molecular Biology Reports, Cancer Medicine and Clinical Immunology.

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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