Dapeng Ju

933 citations
20 papers · 360 indexed · h-index 8

Dapeng Ju

17 papers receiving 354 citations

Peers

Dapeng Ju
Comparison fields: 5 of 72
  • Endocrine and Autonomic Systems 104
  • Aging 11
  • Physiology 112
  • Biochemistry 29
  • Behavioral Neuroscience 14
Replace Daniel H. Moralejo with:
Daniel H. Moralejo United States
Tatiane C.A. Nogueira Brazil
Dharshika RJ Pathiranage United Kingdom
Ghadi Antoun Canada
Alice Romagnoli Italy
F. Lasnier France
Mariana P. Cervantes‐Silva Ireland
Elena Korik Belarus
Motoyasu Satou Japan
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Dapeng Ju relative to Daniel H. Moralejo United States Daniel H. Moralejo's profile →
Citations per field
00.5×3.1×
Daniel H. Moralejo · 1×
Citations per year

Countries citing papers authored by Dapeng Ju

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20257
4 20250
5 20230
6 20233
7 20232
8 202225
9 202122
10 20209
11 20202
12 201989
13 201747
14 201759
15 201124
16 20116
17
[Role of estrogen-related receptor alpha in adipocyes lipolysis].
20111
18
[Chronic high dose of insulin stimulates lipolysis in porcine adipocytes].
20091
19
[Cloning, expression of the porcine estrogen-related receptor alpha gene and its effect on lipid accumulation in mature adipocytes].
20094
20 200857

About Dapeng Ju

Dapeng Ju is a scholar working on Endocrine and Autonomic Systems, Aging and Biochemistry, having authored 20 papers that have together received 360 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Spaceflight effects on biology (3 papers), Lipid metabolism and biosynthesis (3 papers), Adipose Tissue and Metabolism (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Light effects on plants (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (104 citations), Aging (11 citations) and Physiology (112 citations). Dapeng Ju has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Gongshe Yang, Yongqing Yang, Eric Erquan Zhang, Lili Zhao, Jing Yang, Kate S. Carroll, Jiaqi Fu, De‐Long Hao, Xiaoman Wang and Jian-Fei Pei. Their work appears in journals such as Molecular Biology Reports, British Journal of Anaesthesia, Domestic Animal Endocrinology, Cell and Science China Life Sciences.

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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