Liangjun Dang

416 citations
34 papers · 295 · h-index 10

Impact in

Papers in

Liangjun Dang

33 papers receiving 293 citations

Peers

Liangjun Dang
Comparison fields: 5 of 63
  • Psychiatry and Mental health 99
  • Physiology 136
  • Neurology 42
  • Biological Psychiatry 11
  • Clinical Biochemistry 23
Replace Suhang Shang with:
Suhang Shang China
Hadas Hoffman United States
Cláudia Drummond Brazil
Randolph Andrews United States
Aaron Pinkhasov United States
Lilah M. Besser United States
Kristoffer Rhoads United States
Michael Tocco United States
Rafael Sobrano Fais Brazil
Andrew J. Sommerfield United Kingdom
Liangjun Dang relative to Suhang Shang China Suhang Shang's profile →
Citations per field
00.5×1.5×
Suhang Shang · 1×
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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201748
2 201930
3 201819
4 202018
5 201717
6 202216
7 201712
8 202110
9 201710
10 20199
11 20239
12 20189
13 20168
14 20208
15 20178
16 20217
17 20217
18 20146
19 20206
20 20225

About Liangjun Dang

Liangjun Dang is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Psychiatry and Mental health, Endocrinology, Diabetes and Metabolism and Surgery, having authored 34 papers that have together received 295 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (14 papers), Blood Pressure and Hypertension Studies (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Nutritional Studies and Diet (4 papers), Advanced Glycation End Products research (4 papers), Cardiovascular Health and Disease Prevention (4 papers) and Cardiovascular Health and Risk Factors (3 papers). The work is most often cited by research in Psychiatry and Mental health (99 citations), Physiology (136 citations), Neurology (42 citations), Biological Psychiatry (11 citations) and Clinical Biochemistry (23 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, Ling Gao, Chen Chen, Chen Chen, Shan Wei and Qiumin Qu. Their work appears in journals such as Frontiers in Aging Neuroscience, Journal of Alzheimer s Disease, Lipids in Health and Disease, American Journal of Geriatric Psychiatry and Alzheimer s & Dementia.

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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