Xiaoping Xia

573 citations
36 papers · 451 indexed · h-index 12

Impact in

    • Protease and Inhibitor Mechanisms
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Peptidase Inhibition and Analysis
    • Cancer Risks and Factors

Papers in

Xiaoping Xia

34 papers receiving 430 citations

Peers

Xiaoping Xia
Comparison fields: 5 of 88
  • Cancer Research 170
  • Oncology 160
  • Obstetrics and Gynecology 25
  • Hematology 29
  • Molecular Biology 177
Replace Chung‐Tai Yue with:
Chung‐Tai Yue Taiwan
Eduardo Reynoso Mexico
Jinmei Luo China
C. Aguilar Spain
Noria Harir Algeria
Shaobin Ni China
Venkateswara R. Naraparaju United States
Nur Rahadiani Indonesia
Maria Gonidi Greece
Xiaoping Xia relative to Chung‐Tai Yue Taiwan Chung‐Tai Yue's profile →
Citations per field
00.5×3.3×
Chung‐Tai Yue · 1×
Citations per year

Countries citing papers authored by Xiaoping Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201469
2 200466
3 202156
4 201237
5 200734
6 201524
7 201220
8 201117
9 202015
10 201314
11 202311
12 202211
13 201711
14 20218
15 20186
16 20135
17 19955
18 20215
19
[Risk prediction of colorectal cancer with common genetic variants and conventional non-genetic factors in a Chinese Han population].
20155
20 19954

About Xiaoping Xia

Xiaoping Xia is a scholar working on Oncology, Molecular Biology, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 36 papers that have together received 451 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers), Reproductive Biology and Fertility (3 papers), Organometallic Compounds Synthesis and Characterization (2 papers), Genetic factors in colorectal cancer (2 papers), Hepatitis B Virus Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (170 citations), Oncology (160 citations), Obstetrics and Gynecology (25 citations), Hematology (29 citations) and Molecular Biology (177 citations). Xiaoping Xia has collaborated with scholars based in China, Czechia and United Kingdom. Frequent co-authors include Enping Xu, Qiong Huang, Xiaoming Xing, Maode Lai, Yinghua Xu, Hongming Pan, Bingjian Lv, Weiwei Chang, Jiaoyuan Li and Bin Li. Their work appears in journals such as Scientific Reports, International Journal of Pharmaceutics, Infection and Drug Resistance, Renal Failure and Science of Advanced Materials.

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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