Ying Hua

1.9k citations
90 papers · 1.2k · h-index 20

Impact in

    • Pregnancy and preeclampsia studies
    • Uterine Myomas and Treatments
    • Gynecological conditions and treatments
    • Escherichia coli research studies

Papers in

Ying Hua

83 papers receiving 1.2k citations

Peers

Ying Hua
Comparison fields: 5 of 102
  • Obstetrics and Gynecology 157
  • Endocrinology 86
  • Reproductive Medicine 96
  • Pediatrics, Perinatology and Child Health 112
  • Health, Toxicology and Mutagenesis 85
Replace Manubai Nagamani with:
Manubai Nagamani United States
Lin Zhu China
Hanmin Liu China
Juan Wen China
Guixian Wu China
Farzaneh Karimi Iran
Asha Shahed United States
Maria Laszczyńska Poland
Razvan Arsenescu United States
Ying Hua relative to Manubai Nagamani United States Manubai Nagamani's profile →
Citations per field
00.5×10.3×
Manubai Nagamani · 1×
Citations per year

Countries citing papers authored by Ying Hua

Since Specialization
Citations

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

Fields of papers citing papers by Ying Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 201358
3 202355
4 202353
5 201951
6 201948
7 200341
8 201830
9 201629
10 202428
11 200428
12 201828
13 202324
14
Identification of glutamate transporters and receptors in mouse testis.
200424
15 202423
16 202323
17 202122
18 201622
19 202121
20 202021

About Ying Hua

Ying Hua is a scholar working on Molecular Biology, Obstetrics and Gynecology, Endocrinology, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Pregnancy and preeclampsia studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Ion Transport and Channel Regulation (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Birth, Development, and Health (5 papers), Enterobacteriaceae and Cronobacter Research (4 papers) and Neonatal Health and Biochemistry (3 papers). The work is most often cited by research in Obstetrics and Gynecology (157 citations), Endocrinology (86 citations), Reproductive Medicine (96 citations), Pediatrics, Perinatology and Child Health (112 citations) and Health, Toxicology and Mutagenesis (85 citations). Ying Hua has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Xueqiong Zhu, Yunxiao Lei, Congzhi Wang, Chengsong Wan, Jia Hu, Ting Yuan, Lu Sun, Haiyang Liu, Mingming Liu and Wenxiao Jiang. Their work appears in journals such as BMC Pregnancy and Childbirth, Frontiers in Public Health, Frontiers in Microbiology, Clinica Chimica Acta and Cell 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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