Xiaoling She

1.6k citations
46 papers · 1.2k indexed · h-index 23

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Oral and Maxillofacial Pathology

Papers in

Xiaoling She

42 papers receiving 1.2k citations

Peers

Xiaoling She
Comparison fields: 5 of 88
  • Cancer Research 579
  • Oral Surgery 88
  • Rheumatology 180
  • Immunology 218
  • Molecular Biology 695
Replace Laura Pazzaglia with:
Laura Pazzaglia Italy
Wim J.M. Van de Ven Belgium
Yoshiya Shimao Japan
Miki Hashimura Japan
Dali Huang United States
Brett N. Tomson United States
Koroku Kato Japan
Lúcia Roque Portugal
Jason R. Neil United States
Tatsushi Shiomi Japan
Xiaoling She relative to Laura Pazzaglia Italy Laura Pazzaglia's profile →
Citations per field
00.5×5.2×
Laura Pazzaglia · 1×
Citations per year

Countries citing papers authored by Xiaoling She

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling She

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201295
2 201183
3 201872
4 201858
5 201855
6 202152
7 201452
8 201851
9 201651
10 201445
11 201742
12 201542
13 201838
14 201838
15 201936
16 201636
17 201234
18 201733
19 201632
20 202031

About Xiaoling She

Xiaoling She is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Immunology and Rheumatology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (9 papers), Sarcoma Diagnosis and Treatment (7 papers), Circular RNAs in diseases (6 papers), Bone Tumor Diagnosis and Treatments (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune cells in cancer (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Cancer Research (579 citations), Oral Surgery (88 citations), Rheumatology (180 citations), Immunology (218 citations) and Molecular Biology (695 citations). Xiaoling She has collaborated with scholars based in China, United States and Uganda. Frequent co-authors include Guiyuan Li, Minghua Wu, Guohua Lv, Ming‐Xiang Zou, Yi Jiang, Changhong Liu, Yingnan Sun, Peiyao Li, Jing Li and Zhibin Yu. Their work appears in journals such as Neurosurgery, Journal of Hematology & Oncology, Frontiers in Immunology, Scientific Reports and Phytotherapy Research.

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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