Guo‐Dong Lu

3.6k citations
79 papers · 2.7k indexed · 2 hit papers · h-index 25
Topics
Autophagy in Disease and Therapy (11 papers)Heavy Metal Exposure and Toxicity (6 papers)MicroRNA in disease regulation (6 papers)

In The Last Decade

Guo‐Dong Lu

74 papers receiving 2.7k citations

Hit Papers

Anti‐cancer properties of anthraquinones from rhubarb200620262012201920062021100200300400

Peers

Guo‐Dong Lu
Comparison fields: 5 of 134
  • Molecular Biology 1.2k
  • Cancer Research 634
  • Plant Science 527
  • Pulmonary and Respiratory Medicine 410
  • Epidemiology 293
Replace Masumi Suzui with:
Masumi Suzui Japan
Shih‐Lan Hsu Taiwan
V. Vijaya Padma India
Seyed Jalal Hosseinimehr Iran
Myung‐Hee Chung South Korea
Arif Hussain United Arab Emirates
Jia Liu China
Lusânia Maria Greggi Antunes Brazil
Huachen Wei United States
Ashraf B. Abdel‐Naim Egypt
Guo‐Dong Lu relative to Masumi Suzui Japan Masumi Suzui's profile →
Citations per field
00.5×
Masumi Suzui · 1×
Citations per year

Countries citing papers authored by Guo‐Dong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Dong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Dong Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Dong Lu. A scholar is included among the top collaborators of Guo‐Dong Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guo‐Dong Lu. Guo‐Dong Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3
SHAP-AAD: DeepSHAP-Guided Channel Reduction for EEG Auditory Attention Detection
0
4 0
5 8
6 2
7 14
8 4
9 17
10 4
11 9
12 41
13
Quercetin induces P53-independent G2/M arrest and apoptosis in cancer cells
1
14
The function analysis of glycerol kinases genes in the metabolism of carbon source in Magnaporthe oryzae.
1
15 21
16 69
17
Effects of oxalic acid on the activities of antioxidases and phenylalanine ammonialyase in leaves of Arabidopsis.
1
18 96
19 61
20 31

About Guo‐Dong Lu

Guo‐Dong Lu is a scholar working on Toxicology, Aging and Cancer Research, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Heavy Metal Exposure and Toxicity (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Toxicology (227 citations), Cancer Research (634 citations) and Complementary and alternative medicine (196 citations). Guo‐Dong Lu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Han‐Ming Shen, Choon Nam Ong, Maxey C. M. Chung, Qing Huang, Jing Zhou, Yong Wu, Feng Ji, Shing Chuan Hooi, Cheng Peng and Ting Liu. Their work appears in journals such as Advanced Materials, Environmental Science & Technology and Gastroenterology.

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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