Zi Yang

740 citations
51 papers · 558 · h-index 13

Impact in

Papers in

Zi Yang

47 papers receiving 543 citations

Peers

Zi Yang
Comparison fields: 5 of 87
  • Obstetrics and Gynecology 336
  • Pediatrics, Perinatology and Child Health 233
  • Clinical Biochemistry 34
  • Reproductive Medicine 36
  • Immunology 77
Replace Ö. Karaçay with:
Ö. Karaçay Türkiye
Yaling Feng China
Wiesław Szymański Poland
Tomasz Maciejewski Poland
Xiao-Ou Shu United States
Tae‐Wook Kong South Korea
Samuel Chan United States
Jie Ding China
Eva Malířová Czechia
Zi Yang relative to Ö. Karaçay Türkiye Ö. Karaçay's profile →
Citations per field
00.5×7.8×
Ö. Karaçay · 1×
Citations per year

Countries citing papers authored by Zi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009118
2 200258
3 201037
4 202235
5 201524
6 202321
7 201419
8
Inhibition of nitric oxide synthase lowers fatty acid oxidation in preeclampsia-like mice at early gestational stage.
201119
9 200918
10 202318
11 201516
12 201814
13 201414
14 202312
15 201812
16 201510
17 201510
18
[Preterm birth and preterm infants in Beijing regional district].
20108
19
[Interaction among abnormal fatty acid oxidation, endothelial function disorder, and oxidative stress in the onset of severe preeclampsia].
20088
20 20188

About Zi Yang

Zi Yang is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Physiology, Surgery and Molecular Biology, having authored 51 papers that have together received 558 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (32 papers), Birth, Development, and Health (21 papers), Gestational Diabetes Research and Management (11 papers), Adipose Tissue and Metabolism (3 papers), Ovarian function and disorders (2 papers), Metabolism and Genetic Disorders (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Obstetrics and Gynecology (336 citations), Pediatrics, Perinatology and Child Health (233 citations), Clinical Biochemistry (34 citations), Reproductive Medicine (36 citations) and Immunology (77 citations). Zi Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoyan Ding, Ruiqiong Ma, Yiwei Han, Jamal A. Ibdah, Michael J. Bennett, Yiwen Zhao, Arnold W. Strauss, Yali Hu, Jun He and Yumei Wei. Their work appears in journals such as Placenta, International Journal of Food Science & Technology, iScience, Injury and Diabetic Medicine.

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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