Ye Lu

616 citations
29 papers · 437 indexed · h-index 11

Impact in

  • Biochemistry top 10%
    • Sulfur Compounds in Biology
    • Eicosanoids and Hypertension Pharmacology
    • Adipose Tissue and Metabolism
    • Nitric Oxide and Endothelin Effects

Papers in

Ye Lu

25 papers receiving 429 citations

Peers

Ye Lu
Comparison fields: 5 of 86
  • Biochemistry 65
  • Physiology 148
  • Sensory Systems 25
  • Biochemistry 20
  • Endocrine and Autonomic Systems 22
Replace Shingo Takatori with:
Shingo Takatori Japan
Chin‐ok Yi South Korea
Agnieszka Morel Poland
Katiucha K.H.R. Rocha Brazil
Ilenia Martinelli Italy
Xudong Ding China
Isabel González‐Mariscal United States
Roberta Manti Italy
Mark Böhlke United States
Yilin Yang China
Ye Lu relative to Shingo Takatori Japan Shingo Takatori's profile →
Citations per field
00.5×1.5×1.8×
Shingo Takatori · 1×
Citations per year

Countries citing papers authored by Ye Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ye Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012124
2 201261
3 201150
4 201234
5 202426
6 202326
7 201617
8 202015
9 202311
10 202210
11 202110
12 20229
13 20257
14 20246
15 20225
16 20215
17 20164
18 20223
19 20243
20 20193

About Ye Lu

Ye Lu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Ophthalmology, Computer Vision and Pattern Recognition and Epidemiology, having authored 29 papers that have together received 437 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Ophthalmology and Visual Impairment Studies (4 papers), Retinal Diseases and Treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Corneal surgery and disorders (3 papers), Video Surveillance and Tracking Methods (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Biochemistry (65 citations), Physiology (148 citations), Sensory Systems (25 citations), Biochemistry (20 citations) and Endocrine and Autonomic Systems (22 citations). Ye Lu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiao Yu Tian, Yü Huang, Wai San Cheang, Wing Tak Wong, Xiaoqiang Yao, Zhen‐Yu Chen, Yu Wang, Aimin Xu, Li Wang and Yang Zhang. Their work appears in journals such as Journal of Integrative Neuroscience, Scientific Reports, iScience, Cell Death and Disease and Frontiers in Cell and Developmental Biology.

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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