Huai Bai

2.9k citations
99 papers · 1.6k indexed · h-index 21
Topics
Pregnancy and preeclampsia studies (25 papers)Lipid metabolism and disorders (24 papers)Ovarian function and disorders (24 papers)
Partner nations
ChinaJapanUnited Kingdom

In The Last Decade

Huai Bai

96 papers receiving 1.6k citations

Peers

Huai Bai
Comparison fields: 5 of 111
  • Molecular Biology 577
  • Reproductive Medicine 353
  • Surgery 266
  • Endocrinology, Diabetes and Metabolism 255
  • Biomedical Engineering 254
Replace Kanako Hosono with:
Kanako Hosono Japan
Eleonora Salvolini Italy
Amaneh Mohammadi Roushandeh Iran
V. О. Polyakova Russia
Jamie Le United States
Gene Chi Wai Man Hong Kong
Suresh K Verma United States
Su Jin Kim South Korea
Teruhiro Nakada Japan
Iraj Ragerdi Kashani Iran
Huai Bai relative to Kanako Hosono Japan Kanako Hosono's profile →
Citations per field
00.5×6.7×
Kanako Hosono · 1×
Citations per year

Countries citing papers authored by Huai Bai

Since Specialization
Citations

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

Fields of papers citing papers by Huai Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huai Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Huai Bai. A scholar is included among the top collaborators of Huai Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huai Bai. Huai Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 0
4 4
5 6
6 4
7 3
8 5
9 2
10 7
11 35
12 1
13 1
14 4
15 2
16 13
17
[Analysis of beta2-adrenergic receptor gene (beta2AR) Arg16Gly polymorphism in patients with endogenous hypertriglyceridemia in Chinese population].
3
18
Angiotensin II type 1 receptor gene variations in Chinese pregnancy induced hypertension
1
19
Apolipoprotein AI Gene MspI Polymorphism in Relation to Endogenous Hypertriglyceridemia in Chinese Population
1
20 8

About Huai Bai

Huai Bai is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 99 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (25 papers), Lipid metabolism and disorders (24 papers) and Ovarian function and disorders (24 papers). The work is most often cited by research in Reproductive Medicine (353 citations), Obstetrics and Gynecology (172 citations) and Rehabilitation (128 citations). Huai Bai has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Min Zhao, John V. Forrester, Ping Fan, Colin McCaig, Entong Wang, Linbo Guan, Qingqing Liu, Feng Zhang, Xinghui Liu and Rui Liu. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

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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