Longlong Hu

819 citations
31 papers · 580 · h-index 13

Impact in

Papers in

Longlong Hu

27 papers receiving 569 citations

Peers

Longlong Hu
Comparison fields: 5 of 104
  • Complementary and alternative medicine 65
  • Molecular Biology 282
  • Biological Psychiatry 9
  • Pharmacology 31
  • Nephrology 24
Replace Guoguang Wang with:
Guoguang Wang China
Naglaa F. Khedr Egypt
Yoshio Ijiri Japan
Jiangying Kuang China
Dezhao Lu China
Wenfeng Xu China
Zhimin Mao China
Zivar Yousefipour United States
Xinru Yin China
Longlong Hu relative to Guoguang Wang China Guoguang Wang's profile →
Citations per field
00.5×
Guoguang Wang · 1×
Citations per year

Countries citing papers authored by Longlong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Longlong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021149
2 202160
3 201954
4 202237
5 201933
6 202330
7 202130
8 201924
9
Relationship Between the Triglyceride Glucose Index and the Risk of First Stroke in Elderly Hypertensive Patients
202221
10 202120
11 202116
12 202212
13 202412
14 201811
15 202210
16 202110
17 20219
18 20229
19 20256
20 20216

About Longlong Hu

Longlong Hu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 31 papers that have together received 580 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (4 papers), MicroRNA in disease regulation (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Galectins and Cancer Biology (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Complementary and alternative medicine (65 citations), Molecular Biology (282 citations), Biological Psychiatry (9 citations), Pharmacology (31 citations) and Nephrology (24 citations). Longlong Hu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Haitao Lu, Tianyu Wang, Jingjing Liu, Sijing Dong, Wanghui Jing, Ke Wang, Xiaoye Zhao, Sicen Wang, Min Zhu and Xiaoshu Cheng. Their work appears in journals such as Pharmacological Research, Scientific Reports, Journal of Analysis and Testing, Journal of the American Heart Association and Journal of Nutrition.

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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