Xin Zhou

6.1k citations
165 papers · 4.6k indexed · h-index 40
    • MicroRNA in disease regulation 59
    • Cancer-related molecular mechanisms research 40
    • Circular RNAs in diseases 34
    • Extracellular vesicles in disease 20
    • Protein Degradation and Inhibitors 13
    • RNA modifications and cancer 11
  • Oncology top 2%
    • Inflammatory Biomarkers in Disease Prognosis 11
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 21
  • Immunology top 10%

Xin Zhou

153 papers receiving 4.6k citations

Peers

Xin Zhou
Comparison fields: 5 of 117
  • Cancer Research 2.5k
  • Molecular Biology 2.9k
  • Oncology 1.1k
  • Hematology 198
  • Immunology 366
Replace Yoshinaga Okugawa with:
Yoshinaga Okugawa Japan
Yongxi Song China
Ilona Kovalszky Hungary
Nelson H. Tsuno Japan
Fouad Al‐Dayel Saudi Arabia
Huimian Xu China
Hao Zhang China
Germana Castelli Italy
Zhong Chen United States
Junchao Cai China
Xin Zhou relative to Yoshinaga Okugawa Japan Yoshinaga Okugawa's profile →
Citations per field
00.5×1.5×1.8×
Yoshinaga Okugawa · 1×
Citations per year

Countries citing papers authored by Xin Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Xin Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20250
4 20240
5 20241
6 20240
7 20245
8 20235
9 20235
10 20238
11 20222
12 202019
13 20209
14 20182
15 2017100
16 2016114
17 201657
18 201310
19 20137
20 2012110

About Xin Zhou

Xin Zhou is a scholar working on Cancer Research, Hematology and Oncology, having authored 165 papers that have together received 4.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (59 papers), Cancer-related molecular mechanisms research (40 papers), Circular RNAs in diseases (34 papers), Multiple Myeloma Research and Treatments (21 papers), Extracellular vesicles in disease (20 papers), Protein Degradation and Inhibitors (13 papers), RNA modifications and cancer (11 papers) and Inflammatory Biomarkers in Disease Prognosis (11 papers). The work is most often cited by research in Cancer Research (2.5k citations), Molecular Biology (2.9k citations) and Oncology (1.1k citations). Xin Zhou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Zhu, Zebo Huang, Tongshan Wang, Ping Liu, Huo Zhang, Wen‐Fang Cheng, Yiping Du, Tianzhu Qiu, Danxia Zhu and Xia Shan. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

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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