Xiaoling Liu

2.8k citations
57 papers · 2.0k indexed · h-index 17

Impact in

  • Oncology top 5%
    • PARP inhibition in cancer therapy
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Colorectal Cancer Screening and Detection 7
    • Colorectal Cancer Surgical Treatments 5
    • Cancer-related Molecular Pathways 5
    • Cancer Cells and Metastasis 4
    • Cancer Immunotherapy and Biomarkers 3

Xiaoling Liu

52 papers receiving 1.9k citations

Peers

Xiaoling Liu
Comparison fields: 5 of 118
  • Oncology 955
  • Cancer Research 282
  • Obstetrics and Gynecology 113
  • Molecular Biology 845
  • Infectious Diseases 199
Replace Robert Stöhr with:
Robert Stöhr Germany
Rui Qiao China
Yohei Masugi Japan
Erika Cecchin Italy
Michalis Liontos Greece
Cuong V. Nguyen United States
Qingzhu Jia China
Rosana Eisenberg United States
Zhongfa Zhang China
Daniel O’Connor United States
Xiaoling Liu relative to Robert Stöhr Germany Robert Stöhr's profile →
Citations per field
00.5×
Robert Stöhr · 1×
Citations per year

Countries citing papers authored by Xiaoling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20244
3 20231
4 202222
5 20224
6 20227
7 20222
8 20228
9 202014
10 202067
11 20202
12 20199
13 20196
14 201910
15 20170
16 20167
17 201525
18 20127
19 2009185
20 200739

About Xiaoling Liu

Xiaoling Liu is a scholar working on Oncology, Internal Medicine, Obstetrics and Gynecology, Periodontics and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (9 papers), Colorectal Cancer Screening and Detection (7 papers), Colorectal Cancer Surgical Treatments (5 papers), Cancer-related Molecular Pathways (5 papers), Cancer Cells and Metastasis (4 papers), Pregnancy and preeclampsia studies (3 papers), Birth, Development, and Health (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Oncology (955 citations), Cancer Research (282 citations), Obstetrics and Gynecology (113 citations), Molecular Biology (845 citations) and Infectious Diseases (199 citations). Xiaoling Liu has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Jos Jonkers, Kailin Cai, Yinghao Cao, Lijuan Xiong, Bastiaan Evers, Patrick W.B. Derksen, Judy R. van Beijnum, Hanneke van der Gulden, Francis N. Saridin and Anton Berns. Their work appears in journals such as Medicine, Frontiers in Medicine, Clinical Cancer Research, JMIR mhealth and uhealth and Annals of Palliative 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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