Xia Shan

1.9k citations
34 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 9
    • Extracellular vesicles in disease 7
    • MicroRNA in disease regulation 15
    • Cancer-related molecular mechanisms research 9

Xia Shan

33 papers receiving 1.1k citations

Peers

Xia Shan
Comparison fields: 5 of 88
  • Cancer Research 686
  • Genetics 143
  • Molecular Biology 711
  • Immunology 77
  • Oncology 99
Replace Shanbao Cai with:
Shanbao Cai United States
Guohan Hu China
Katia Sampieri Italy
Hisashi Kubota Japan
Peidong Liu China
Karyn Bouhana United States
Abiel Orrego Sweden
Hongyang Zhao China
Xia Shan relative to Shanbao Cai United States Shanbao Cai's profile →
Citations per field
00.5×2.8×
Shanbao Cai · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016144
2 2017107
3 2018106
4 201667
5 202159
6 201758
7 200955
8 201551
9 201842
10 201938
11 201734
12 201833
13 201931
14 201829
15 201528
16 201727
17 201724
18 201820
19 201215
20 202013

About Xia Shan

Xia Shan is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (9 papers), Extracellular vesicles in disease (7 papers), Glioma Diagnosis and Treatment (7 papers), Ferroptosis and cancer prognosis (4 papers), Epilepsy research and treatment (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (686 citations), Genetics (143 citations), Molecular Biology (711 citations), Immunology (77 citations) and Oncology (99 citations). Xia Shan has collaborated with scholars based in China, Hong Kong and United States. 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 Pharmaceutics, Seizure and Cancer Medicine.

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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