Jue Ye

1.1k citations
31 papers · 728 · h-index 16

Impact in

Papers in

Jue Ye

31 papers receiving 715 citations

Peers

Jue Ye
Comparison fields: 5 of 80
  • Cardiology and Cardiovascular Medicine 200
  • Rheumatology 130
  • Pulmonary and Respiratory Medicine 275
  • Endocrine and Autonomic Systems 47
  • Cancer Research 94
Replace Karen J. Roelofs with:
Karen J. Roelofs United States
Tetsuo Morioka Japan
Cathrine Husberg Norway
Carolyn M Roos United States
Francesca Forini Italy
Andrea Satta Italy
Hideo Tsukagoshi Japan
Lianyou Zhao China
Mohamed Izikki France
Sunitha Yanamadala United States
Jue Ye relative to Karen J. Roelofs United States Karen J. Roelofs's profile →
Citations per field
00.5×3.5×
Karen J. Roelofs · 1×
Citations per year

Countries citing papers authored by Jue Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jue Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003161
2 201890
3 202059
4 202047
5 200047
6 201436
7 201831
8 200829
9 201324
10 202124
11 201120
12 201120
13 200420
14 201919
15 200917
16 201316
17 201414
18 201912
19 20179
20
[Suppression of c-myc expression by interference RNA in HepG2 hepatocellular carcinoma cells].
20045

About Jue Ye

Jue Ye is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Cancer Research, having authored 31 papers that have together received 728 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (10 papers), Cardiomyopathy and Myosin Studies (5 papers), Signaling Pathways in Disease (3 papers), Lipid metabolism and disorders (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Vascular Anomalies and Treatments (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (200 citations), Rheumatology (130 citations), Pulmonary and Respiratory Medicine (275 citations), Endocrine and Autonomic Systems (47 citations) and Cancer Research (94 citations). Jue Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rutai Hui, Zhi‐Cheng Jing, Tian‐Yu Lian, Hongye Zhang, Zhao Bingrang, Li Sun, Yi Yan, Dao Wen Wang, Yangyang He and Yuhua Liao. Their work appears in journals such as Annals of Human Genetics, European Respiratory Journal, Frontiers in Pharmacology, American Journal of Hypertension and International Journal of Cardiology.

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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