Lu Dong

401 citations
26 papers · 337 · h-index 11

Impact in

    • Pharmacological Effects of Medicinal Plants
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Bone Metabolism and Diseases 5
    • Enzyme Catalysis and Immobilization 3
    • Geomagnetism and Paleomagnetism Studies 3
    • Cancer-related gene regulation 2
    • Pharmacological Effects of Medicinal Plants 6

Lu Dong

25 papers receiving 332 citations

Peers

Lu Dong
Comparison fields: 5 of 69
  • Pharmacology 65
  • Cell Biology 50
  • Cancer Research 38
  • Molecular Biology 179
  • Physiology 9
Replace Huangying Le with:
Huangying Le China
Ana C. Henriques Portugal
Honglong Wei China
Wendong Guo China
Ya-Ling Yeh Taiwan
Jiawei Ma China
Yudan Xie China
Hongzhou Zhao China
Gie‐Taek Chun South Korea
Xiujuan Shi China
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Citations per field
00.5×1.5×
Huangying Le · 1×
Citations per year

Countries citing papers authored by Lu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 202130
3 201628
4 201827
5 201426
6 201726
7 201523
8 202222
9 201517
10 201914
11 202110
12 200710
13 20219
14 20188
15 20226
16 20226
17 20255
18 20213
19 20253
20 20232

About Lu Dong

Lu Dong is a scholar working on Molecular Biology, Pharmacology, Mechanical Engineering, Biomedical Engineering and Cell Biology, having authored 26 papers that have together received 337 indexed citations. Recurring topics across this work include Pharmacological Effects of Medicinal Plants (6 papers), Bone Metabolism and Diseases (5 papers), Enzyme Catalysis and Immobilization (3 papers), Metal Extraction and Bioleaching (3 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Cellular transport and secretion (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Pharmacology (65 citations), Cell Biology (50 citations), Cancer Research (38 citations), Molecular Biology (179 citations) and Physiology (9 citations). Lu Dong has collaborated with scholars based in China. Frequent co-authors include Yong‐Ming Yan, Shumei Wang, Yong‐Xian Cheng, Cheng Li-zhi, Rutong Yu, Xiuping Zhou, Qiong Shi, Jinxia Hu, Shao Xie and Yong‐Xian Cheng. Their work appears in journals such as Current Microbiology, Cancer Letters, Journal of Alloys and Compounds, Organic Chemistry Frontiers and Molecular Carcinogenesis.

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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