Jiagao Lv

2.0k citations
40 papers · 1.0k indexed · 2 hit papers · h-index 17
Topics
Cardiovascular Function and Risk Factors (7 papers)Cardiac electrophysiology and arrhythmias (7 papers)Endoplasmic Reticulum Stress and Disease (5 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Jiagao Lv

39 papers receiving 998 citations

Hit Papers

ATF3/SPI1/SLC31A1 Signaling Promotes Cuproptosis Induced ...2022202620232024202320224080120

Peers

Jiagao Lv
Comparison fields: 5 of 95
  • Molecular Biology 393
  • Cardiology and Cardiovascular Medicine 243
  • Pulmonary and Respiratory Medicine 135
  • Epidemiology 127
  • Immunology 105
Replace Takashi Obama with:
Takashi Obama Japan
Xuemei Fan China
Hamid Boulares United States
Ruggiero Mango Italy
Christine Lohmann Switzerland
Akemi Kakino Japan
Leonardo A. Moraes United Kingdom
Kathrin Heermeier Germany
Reshma S. Baliga United Kingdom
John C. Marecki United States
Jiagao Lv relative to Takashi Obama Japan Takashi Obama's profile →
Citations per field
00.5×3.8×
Takashi Obama · 1×
Citations per year

Countries citing papers authored by Jiagao Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jiagao Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiagao Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Jiagao Lv. A scholar is included among the top collaborators of Jiagao Lv 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 Jiagao Lv. Jiagao Lv 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 4
2
ATF3/SPI1/SLC31A1 Signaling Promotes Cuproptosis Induced by Advanced Glycosylation End Products in Diabetic Myocardial Injurybreakdown →
137
3 84
4 1
5 4
6 3
7 11
8 22
9 37
10 14
11 43
12 14
13 26
14 27
15 21
16 5
17 85
18 70
19 11
20 5

About Jiagao Lv

Jiagao Lv is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Toxicology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (243 citations), Immunology and Allergy (53 citations) and Toxicology (25 citations). Jiagao Lv has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Moran Wang, Sheng Li, Li Lin, Yongsheng Li, Wei Shi, Shengqi Huo, Lintong Men, Lulu Peng, Tao Jiang and Cuntai Zhang. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

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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