Jingyu Lu

931 citations
40 papers · 716 · h-index 14

Impact in

Papers in

    • Ion Transport and Channel Regulation 3
    • Plant Gene Expression Analysis 2
    • Pancreatic and Hepatic Oncology Research 4

Jingyu Lu

39 papers receiving 708 citations

Peers

Jingyu Lu
Comparison fields: 5 of 103
  • Biochemistry 60
  • Endocrinology, Diabetes and Metabolism 121
  • Nutrition and Dietetics 86
  • Molecular Biology 329
  • Cancer Research 70
Replace Masashi Masuda with:
Masashi Masuda Japan
Sarada Charugundla United States
Xiaogang Du China
Hilda Vargas‐Robles Mexico
Ian Sipula United States
Rohia Alili France
Tangli Xiao China
Liangdi Xie China
Xuelian Xiong China
TianTeng He United States
Jingyu Lu relative to Masashi Masuda Japan Masashi Masuda's profile →
Citations per field
00.5×1.7×
Masashi Masuda · 1×
Citations per year

Countries citing papers authored by Jingyu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jingyu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003146
2 201478
3 201455
4 200853
5 201851
6 200636
7 200926
8 200724
9 201921
10 201318
11 202218
12 202018
13 202418
14 202017
15 202212
16 200912
17
[Correlation analysis and identification of G421C in regulatory region of CYP4F2 gene with essential hypertension].
200612
18 201910
19 200910
20 20119

About Jingyu Lu

Jingyu Lu is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Cancer Research, having authored 40 papers that have together received 716 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Ion Transport and Channel Regulation (3 papers), Plant Molecular Biology Research (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Plant Gene Expression Analysis (2 papers). The work is most often cited by research in Biochemistry (60 citations), Endocrinology, Diabetes and Metabolism (121 citations), Nutrition and Dietetics (86 citations), Molecular Biology (329 citations) and Cancer Research (70 citations). Jingyu Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ruqian Zhao, Xavier Jeunemaı̂tre, Anne-Marie Houot, Sandra Disse-Nicodème, Yanyan Zhao, Pierre Corvol, Jean-Marie Gasc, Céline Delaloy, Yimin Jia and Demin Cai. Their work appears in journals such as British Journal Of Nutrition, Molecular and Cellular Biology, Scientific Reports, Journal of Hypertension and BMB Reports.

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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