Long Deng

704 citations
25 papers · 574 · h-index 13

Impact in

Papers in

Long Deng

24 papers receiving 563 citations

Peers

Long Deng
Comparison fields: 5 of 70
  • Biochemistry 48
  • Filtration and Separation 12
  • Cardiology and Cardiovascular Medicine 148
  • Food Science 71
  • Organic Chemistry 117
Replace Patricia Pérez-López with:
Patricia Pérez-López Spain
Changlu Wang China
Makoto Saito Japan
Vadavanath Prabhakaran Vineetha India
Mohammed El Haouari Morocco
Rihui Wu China
Lakhdar Ghazouani Tunisia
Xinghua Li China
Milan Ivanov Serbia
Long Deng relative to Patricia Pérez-López Spain Patricia Pérez-López's profile →
Citations per field
00.5×2×3×4.3×
Patricia Pérez-López · 1×
Citations per year

Countries citing papers authored by Long Deng

Since Specialization
Citations

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

Fields of papers citing papers by Long Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014103
2 201493
3 201544
4 202139
5 201736
6 201834
7 201733
8 201833
9 201931
10 201227
11 201814
12 201814
13 201814
14 201612
15 20137
16 20217
17 20217
18 20217
19 20184
20 20184

About Long Deng

Long Deng is a scholar working on Cardiology and Cardiovascular Medicine, Filtration and Separation, Surgery, Biochemistry and Hepatology, having authored 25 papers that have together received 574 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (9 papers), Cardiac Valve Diseases and Treatments (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Cardiac tumors and thrombi (2 papers), Edible Oils Quality and Analysis (2 papers), Analytical Methods in Pharmaceuticals (1 paper), Phytochemicals and Antioxidant Activities (1 paper) and Pulmonary Hypertension Research and Treatments (1 paper). The work is most often cited by research in Biochemistry (48 citations), Filtration and Separation (12 citations), Cardiology and Cardiovascular Medicine (148 citations), Food Science (71 citations) and Organic Chemistry (117 citations). Long Deng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Li, Yawei Fan, Zeyuan Deng, Jun Cao, Yanyan Dang, Jiangning Hu, Xuemei Zhu, Xian‐Guo Zou, Hongyan Li and Sheng Liu. Their work appears in journals such as Food & Function, Scientific Reports, BioMedical Engineering OnLine, Interactive Cardiovascular and Thoracic Surgery and Computer Modeling in Engineering & 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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