Xiaofu Yang

841 citations
42 papers · 614 · h-index 14

Impact in

Papers in

Xiaofu Yang

38 papers receiving 601 citations

Peers

Xiaofu Yang
Comparison fields: 5 of 95
  • Obstetrics and Gynecology 150
  • Reproductive Medicine 69
  • Endocrine and Autonomic Systems 43
  • Pediatrics, Perinatology and Child Health 105
  • Epidemiology 167
Replace María C. Leiva with:
María C. Leiva United States
Y. Wang United States
H. Müller Germany
Bartłomiej Barczyński Poland
Bjørg Steinkjer Norway
Dong‐Wook Park South Korea
Shane Vontelin van Breda Switzerland
Na Di China
Pradeep Kumar Patra India
Xu Qin China
Xiaofu Yang relative to María C. Leiva United States María C. Leiva's profile →
Citations per field
00.5×3.0×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200476
2 202270
3 200660
4 201948
5 202145
6 200740
7 201833
8 200930
9 201519
10
MicroRNAs derived from urinary exosomes act as novel biomarkers in the diagnosis of intrahepatic cholestasis of pregnancy.
201918
11 201417
12 200417
13 202314
14
Expectant management of heterotopic cesarean scar pregnancy.
201214
15 201113
16 202011
17 20108
18 20237
19
[Clinical study on 67 cases with uterine rupture].
20147
20 20147

About Xiaofu Yang

Xiaofu Yang is a scholar working on Obstetrics and Gynecology, Epidemiology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Immunology, having authored 42 papers that have together received 614 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Hepatitis B Virus Studies (7 papers), Regulation of Appetite and Obesity (5 papers), Bone Tissue Engineering Materials (4 papers), Birth, Development, and Health (4 papers), Hepatitis C virus research (4 papers), Reproductive Biology and Fertility (4 papers) and Hepatitis Viruses Studies and Epidemiology (3 papers). The work is most often cited by research in Obstetrics and Gynecology (150 citations), Reproductive Medicine (69 citations), Endocrine and Autonomic Systems (43 citations), Pediatrics, Perinatology and Child Health (105 citations) and Epidemiology (167 citations). Xiaofu Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Minyue Dong, Zhengping Wang, Miao Sun, Danqing Chen, Jing He, Fang Qin, Xiaoxia Bai, Donghong Lu, Yina Zhang and Xiaojun Zhu. Their work appears in journals such as Medicine, Apmis, Carcinogenesis, Archives of Gynecology and Obstetrics and Bio-Design and Manufacturing.

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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