Liangjun Dang

435 citations
35 papers · 310 · h-index 11

Impact in

Papers in

Liangjun Dang

34 papers receiving 309 citations

Peers

Liangjun Dang
Comparison fields: 5 of 60
  • Biological Psychiatry 11
  • Psychiatry and Mental health 64
  • Physiology 93
  • Neurology 26
  • Experimental and Cognitive Psychology 34
Replace Wanlin Lai with:
Wanlin Lai China
Kristoffer Rhoads United States
Xiao‐Yu He China
Mona Hussein Egypt
Elżbieta Trypka Poland
Júlio César Claudino dos Santos Brazil
Maaike Schuur Netherlands
Hadas Hoffman United States
Sun‐Wung Hsieh Taiwan
Yimin Kang China
Liangjun Dang relative to Wanlin Lai China Wanlin Lai's profile →
Citations per field
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Citations per year

Countries citing papers authored by Liangjun Dang

Since Specialization
Citations

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

Fields of papers citing papers by Liangjun Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 201932
3 201819
4 202218
5 202018
6 201717
7 201712
8 202111
9 201710
10 201910
11 202310
12 20209
13 20169
14 20189
15 20178
16 20207
17 20217
18 20217
19 20226
20 20146

About Liangjun Dang

Liangjun Dang is a scholar working on Physiology, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Molecular Biology, having authored 35 papers that have together received 310 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (8 papers), Blood Pressure and Hypertension Studies (4 papers), Plant Disease Resistance and Genetics (2 papers), Nutritional Studies and Diet (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Sleep and related disorders (2 papers) and Birth, Development, and Health (2 papers). The work is most often cited by research in Biological Psychiatry (11 citations), Psychiatry and Mental health (64 citations), Physiology (93 citations), Neurology (26 citations) and Experimental and Cognitive Psychology (34 citations). Liangjun Dang has collaborated with scholars based in China and United States. Frequent co-authors include Suhang Shang, Kang Huo, Qiumin Qu, Jingyi Wang, Yu Jiang, Meiying Deng, Ling Gao, Chen Chen, Chen Chen and Qiumin Qu. Their work appears in journals such as Frontiers in Aging Neuroscience, Journal of Alzheimer s Disease, Lipids in Health and Disease, Alzheimer s & Dementia and Neuroepidemiology.

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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