Xiaoling She

1.7k citations
47 papers · 1.3k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Bone Tumor Diagnosis and Treatments

Papers in

    • Circular RNAs in diseases 6
    • Gut microbiota and health 2
    • Cancer-related molecular mechanisms research 9
    • MicroRNA in disease regulation 9

Xiaoling She

46 papers receiving 1.3k citations

Peers

Xiaoling She
Comparison fields: 5 of 89
  • Cancer Research 518
  • Rheumatology 173
  • Reproductive Medicine 77
  • Molecular Biology 627
  • Immunology 171
Replace Yoshiya Shimao with:
Yoshiya Shimao Japan
Laura Pazzaglia Italy
Stephanie J. McAlhany United States
Miki Hashimura Japan
Jason R. Neil United States
Rafael Pieretti‐Vanmarcke United States
Badreddin Edris United States
Brett N. Tomson United States
Keisuke Kurose Japan
Marilyn Skelly United States
Xiaoling She relative to Yoshiya Shimao Japan Yoshiya Shimao's profile →
Citations per field
00.5×9.6×
Yoshiya Shimao · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201297
2 201185
3 201873
4 201861
5 201857
6 202154
7 201453
8 201653
9 201851
10 201447
11 201544
12 201742
13 201840
14 201839
15 201937
16 201636
17 201234
18 201633
19 201733
20 202031

About Xiaoling She

Xiaoling She is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Rheumatology and Immunology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (9 papers), Bone Tumor Diagnosis and Treatments (6 papers), Circular RNAs in diseases (6 papers), Sarcoma Diagnosis and Treatment (3 papers), Endometriosis Research and Treatment (2 papers), Galectins and Cancer Biology (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Cancer Research (518 citations), Rheumatology (173 citations), Reproductive Medicine (77 citations), Molecular Biology (627 citations) and Immunology (171 citations). Xiaoling She has collaborated with scholars based in China, Saudi Arabia and United States. Frequent co-authors include Guiyuan Li, Minghua Wu, Guohua Lv, Ming‐Xiang Zou, Yi Jiang, Yingnan Sun, Peiyao Li, Jing Li, Changhong Liu and Zhibin Yu. Their work appears in journals such as Journal of Hematology & Oncology, Neurosurgery, Frontiers in Immunology, Oncology Reports and Drug Resistance Updates.

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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