Xiaoxin Ma

816 citations
24 papers · 550 · h-index 12

Impact in

Papers in

    • Circular RNAs in diseases 2
    • RNA modifications and cancer 2
    • Glycosylation and Glycoproteins Research 1
    • Neuroendocrine Tumor Research Advances 2

Xiaoxin Ma

23 papers receiving 546 citations

Peers

Xiaoxin Ma
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 140
  • Reproductive Medicine 83
  • Cancer Research 133
  • Health Informatics 7
  • Molecular Biology 198
Replace S.F. Yim with:
S.F. Yim Hong Kong
Chloe Karpinskyj United Kingdom
Gwan Hee Han South Korea
R.J. Zaino United States
Mark Burgert United States
Peishu Liu China
Weiguo Lü China
Minyu Chen China
Zhonglu Ren China
Xiaoxin Ma relative to S.F. Yim Hong Kong S.F. Yim's profile →
Citations per field
00.5×10.6×
S.F. Yim · 1×
Citations per year

Countries citing papers authored by Xiaoxin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoxin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019165
2 202160
3 201853
4 201850
5 201746
6 201732
7 201826
8 201920
9 202120
10 202014
11 201611
12 201111
13 20109
14 20139
15 20196
16 20095
17 20234
18 20133
19
LncRNA PVT1 Enhances Proliferation and Cisplatin Resistance via Regulating miR-194-5p/HIF1a Axis in Oral Squamous Cell Carcinoma
20202
20
Pyrazinamide Resistance and Mutation Patterns Among Multidrug-Resistant Mycobacterium tuberculosis from Henan Province
20201

About Xiaoxin Ma

Xiaoxin Ma is a scholar working on Molecular Biology, Epidemiology, Obstetrics and Gynecology, Surgery and Oncology, having authored 24 papers that have together received 550 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Neuroendocrine Tumor Research Advances (2 papers), RNA modifications and cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Obstetrics and Gynecology (140 citations), Reproductive Medicine (83 citations), Cancer Research (133 citations), Health Informatics (7 citations) and Molecular Biology (198 citations). Xiaoxin Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qi‐Jun Wu, Ting‐Ting Gong, Fanfei Kong, Da Li, Yuting Jiang, Shuang Zhang, Yuhong Zhao, Hui Sun, Fang-Hua Liu and Hui Yang. Their work appears in journals such as Journal of Experimental & Clinical Cancer Research, OncoTargets and Therapy, Microchemical Journal, Scientific Reports and PeerJ.

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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