Xiaofu Yang

865 citations
43 papers · 626 · h-index 14

Impact in

Papers in

Xiaofu Yang

38 papers receiving 615 citations

Peers

Xiaofu Yang
Comparison fields: 5 of 93
  • Obstetrics and Gynecology 90
  • Reproductive Medicine 54
  • Endocrine and Autonomic Systems 31
  • Epidemiology 146
  • Cancer Research 59
Replace María C. Leiva with:
María C. Leiva United States
Jiahui Ding China
H. Müller Germany
Bartłomiej Barczyński Poland
Asghar Ali United States
Bjørg Steinkjer Norway
Maryam Salimi Iran
Zeinab Latifi Iran
Gitte V. Eriksen Denmark
Na Di China
Xiaofu Yang relative to María C. Leiva United States María C. Leiva's profile →
Citations per field
00.5×4.2×
María C. Leiva · 1×
Citations per year

Countries citing papers authored by Xiaofu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202278
2 200477
3 200660
4 201949
5 202147
6 200740
7 201833
8 200930
9 201520
10 201419
11
MicroRNAs derived from urinary exosomes act as novel biomarkers in the diagnosis of intrahepatic cholestasis of pregnancy.
201918
12 200417
13
Expectant management of heterotopic cesarean scar pregnancy.
201214
14 202314
15 201113
16 202011
17 20108
18 20237
19 20237
20 20147

About Xiaofu Yang

Xiaofu Yang is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health, Obstetrics and Gynecology, Biomedical Engineering and Molecular Biology, having authored 43 papers that have together received 626 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Pregnancy and preeclampsia studies (5 papers), Bone Tissue Engineering Materials (4 papers), Preterm Birth and Chorioamnionitis (3 papers), Hepatitis C virus research (3 papers), Regulation of Appetite and Obesity (3 papers), Pregnancy-related medical research (2 papers) and Ectopic Pregnancy Diagnosis and Management (2 papers). The work is most often cited by research in Obstetrics and Gynecology (90 citations), Reproductive Medicine (54 citations), Endocrine and Autonomic Systems (31 citations), Epidemiology (146 citations) and Cancer Research (59 citations). Xiaofu Yang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Minyue Dong, Zhengping Wang, Miao Sun, Danqing Chen, Fang Qin, Jing He, Xiaoxia Bai, Donghong Lu, Mengfei Yu and Yuzhong Wu. Their work appears in journals such as Medicine, Frontiers in Medicine, Apmis, Reproduction Fertility and Development and BMC Pregnancy and Childbirth.

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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