Jinghua Bie

618 citations
17 papers · 528 indexed · h-index 12
Topics
Cholesterol and Lipid Metabolism (12 papers)Drug Transport and Resistance Mechanisms (5 papers)Cancer, Lipids, and Metabolism (4 papers)
Partner nations
United StatesGreeceChina

In The Last Decade

Jinghua Bie

17 papers receiving 523 citations

Peers

Jinghua Bie
Comparison fields: 5 of 84
  • Molecular Biology 236
  • Surgery 162
  • Immunology 117
  • Epidemiology 98
  • Physiology 90
Replace Jinque Luo with:
Jinque Luo China
Rodolphe Filomenko France
Xiancai Zhong South Korea
Heather A. Curry United States
Honit Piplani United States
Maowen Hu United States
Ruiyan Pan China
Yoichi Yasuda Japan
Jasmin Shafarin United Arab Emirates
Ronghui Du China
Jinghua Bie relative to Jinque Luo China Jinque Luo's profile →
Citations per field
00.5×3.9×
Jinque Luo · 1×
Citations per year

Countries citing papers authored by Jinghua Bie

Since Specialization
Citations

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

Fields of papers citing papers by Jinghua Bie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinghua Bie

This figure shows the co-authorship network connecting the top 25 collaborators of Jinghua Bie. A scholar is included among the top collaborators of Jinghua Bie 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 Jinghua Bie. Jinghua Bie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 74
2 13
3 1
4 6
5 140
6 23
7 13
8 28
9
Abstract 11275: Liver-specific Ces3 Deficiency Attenuates High-Fat High-Cholesterol Diet Induced Atherosclerosis in LDLR-/- Mice
1
10 11
11 23
12
Abstract 10870: Dietary Supplement Curcumin Reduces Inflammation and Significantly Improves Glucose Tolerance and Atherosclerosis in LDLR-/- Mice
1
13 17
14 41
15 116
16 16
17 4

About Jinghua Bie

Jinghua Bie is a scholar working on Biochemistry, Surgery and Cancer Research, having authored 17 papers that have together received 528 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (12 papers), Drug Transport and Resistance Mechanisms (5 papers) and Cancer, Lipids, and Metabolism (4 papers). The work is most often cited by research in Molecular Medicine (44 citations), Biochemistry (48 citations) and Immunology (117 citations). Jinghua Bie has collaborated with scholars based in United States, Greece and China. Frequent co-authors include Shobha Ghosh, Bin Zhao, Jingmei Song, Jing Wang, Siddhartha S. Ghosh, Quan Yuan, Jing Wang, William J. Korzun, Siddhartha Sankar Ghosh and Hu Yang. Their work appears in journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

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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