Dapeng Ju

984 citations
20 papers · 386 · h-index 9

Impact in

Papers in

Dapeng Ju

17 papers receiving 380 citations

Peers

Dapeng Ju
Comparison fields: 5 of 71
  • Endocrine and Autonomic Systems 105
  • Aging 11
  • Behavioral Neuroscience 16
  • Physiology 106
  • Biochemistry 29
Replace Jennifer M. Rojas with:
Jennifer M. Rojas United States
Joo‐Ho Chung South Korea
Daniel H. Moralejo Japan
Fengxia Ge United States
Manashree Damle United States
Xavier Brénachot France
João Paulo Cavalcanti‐de‐Albuquerque Brazil
Leif K. Larsen Denmark
J. Brown United States
Gillian Brooker United Kingdom
Dapeng Ju relative to Jennifer M. Rojas United States Jennifer M. Rojas's profile →
Citations per field
00.5×2.8×
Jennifer M. Rojas · 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-authors

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 201991
2 201765
3 200858
4 201748
5 202229
6 201124
7 202122
8 202511
9 20209
10 20257
11 20116
12 20235
13
[Cloning, expression of the porcine estrogen-related receptor alpha gene and its effect on lipid accumulation in mature adipocytes].
20094
14 20233
15 20202
16
[Chronic high dose of insulin stimulates lipolysis in porcine adipocytes].
20091
17
[Role of estrogen-related receptor alpha in adipocyes lipolysis].
20111
18 20250
19 20250
20 20230

About Dapeng Ju

Dapeng Ju is a scholar working on Endocrine and Autonomic Systems, Physiology, Cellular and Molecular Neuroscience, Surgery and Molecular Biology, having authored 20 papers that have together received 386 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 Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (105 citations), Aging (11 citations), Behavioral Neuroscience (16 citations), Physiology (106 citations) and Biochemistry (29 citations). Dapeng Ju has collaborated with scholars based in China, United States and India. Frequent co-authors include Gongshe Yang, Yongqing Yang, Eric Erquan Zhang, Lili Zhao, Jing Yang, Cheng Zhan, Jiaqi Fu, Xiang Zhao, De‐Pei Liu and Qian Gao. Their work appears in journals such as Molecular Biology Reports, Domestic Animal Endocrinology, Life Sciences in Space Research, Cell and Nature Cell 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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