Xiaoling Ma

597 citations
32 papers · 207 · h-index 9

Impact in

Papers in

Xiaoling Ma

27 papers receiving 203 citations

Peers

Xiaoling Ma
Comparison fields: 5 of 39
  • Reproductive Medicine 57
  • Cancer Research 40
  • Obstetrics and Gynecology 17
  • Public Health, Environmental and Occupational Health 44
  • Immunology 30
Replace Gabriele Matilionyte with:
Gabriele Matilionyte United Kingdom
Mixue Tu China
Jianxia Fan China
Flavia Costanzi Italy
Haiying Liu China
Xiqian Zhang China
Yichun Guan China
Christoph Haudum Austria
Jaye Adams United States
Melissa D. Tharmalingam United Kingdom
Xiaoling Ma relative to Gabriele Matilionyte United Kingdom Gabriele Matilionyte's profile →
Citations per field
00.5×2.7×
Gabriele Matilionyte · 1×
Citations per year

Countries citing papers authored by Xiaoling Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201731
2 201919
3 202117
4 201915
5 201914
6 202014
7 201413
8 202111
9 202010
10 20196
11 20226
12 20216
13 20236
14 20215
15 20125
16 20255
17 20234
18 20244
19 20193
20 20223

About Xiaoling Ma

Xiaoling Ma is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Immunology, having authored 32 papers that have together received 207 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (6 papers), Ovarian function and disorders (4 papers), Circular RNAs in diseases (4 papers), Reproductive System and Pregnancy (4 papers), Reproductive Biology and Fertility (4 papers), Prenatal Screening and Diagnostics (3 papers), Sperm and Testicular Function (2 papers) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Reproductive Medicine (57 citations), Cancer Research (40 citations), Obstetrics and Gynecology (17 citations), Public Health, Environmental and Occupational Health (44 citations) and Immunology (30 citations). Xiaoling Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Xuehong Zhang, Lin Liu, Xiaodong Zhao, Yuan Yang, Feng Yun Yue, Shanshan Zhang, Liyan Wang, Lifei Li, Xiaoxi Sun and Yiqing Wang. Their work appears in journals such as Medicine, Andrologia, Gynecologic and Obstetric Investigation, BMC Medical Genomics and Cytogenetic and Genome Research.

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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