Xiaoping Xia

588 citations
36 papers · 462 · 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 442 citations

Peers

Xiaoping Xia
Comparison fields: 5 of 83
  • Cancer Research 149
  • Oncology 129
  • Obstetrics and Gynecology 21
  • Molecular Biology 151
  • Reproductive Medicine 16
Replace Yvonne Teng with:
Yvonne Teng Singapore
Nur Rahadiani Indonesia
Ensong Guo China
Lina Tan China
Jinmei Luo China
Eduardo Reynoso Mexico
Naomi Strubel United States
Anand Pathak United States
Xiaoping Xia relative to Yvonne Teng Singapore Yvonne Teng's profile →
Citations per field
00.5×1.5×2.3×
Yvonne Teng · 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 201471
2 200465
3 202158
4 201237
5 200734
6 201524
7 201221
8 201317
9 201117
10 202015
11 202312
12 202211
13 201711
14 20218
15 20186
16 20136
17
[Risk prediction of colorectal cancer with common genetic variants and conventional non-genetic factors in a Chinese Han population].
20156
18 20215
19 19955
20 19954

About Xiaoping Xia

Xiaoping Xia is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health and Cancer Research, having authored 36 papers that have together received 462 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Reproductive Biology and Fertility (3 papers), Hepatitis B Virus Studies (2 papers), Reproductive System and Pregnancy (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Pancreatic function and diabetes (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (149 citations), Oncology (129 citations), Obstetrics and Gynecology (21 citations), Molecular Biology (151 citations) and Reproductive Medicine (16 citations). Xiaoping Xia has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Enping Xu, Qiong Huang, Maode Lai, Xiaoming Xing, Hongming Pan, Yinghua Xu, Weiwei Chang, Bingjian Lv, Xunzhang Wang and Bin Li. Their work appears in journals such as Scientific Reports, International Journal of Pharmaceutics, Molecular and Cellular Biochemistry, Renal Failure and Frontiers in Oncology.

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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