Lu Gan

1.8k citations
52 papers · 1.4k · h-index 20

Impact in

Papers in

    • Retinoids in leukemia and cellular processes 3
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 3
    • Photosynthetic Processes and Mechanisms 3
    • Glycosylation and Glycoproteins Research 2
    • Bioactive Natural Diterpenoids Research 2

Lu Gan

50 papers receiving 1.3k citations

Peers

Lu Gan
Comparison fields: 5 of 114
  • Developmental Neuroscience 65
  • Biochemistry 66
  • Plant Science 342
  • Nutrition and Dietetics 127
  • Pharmacology 69
Replace Chang‐Yi Wu with:
Chang‐Yi Wu Taiwan
Hyoung-Chin Kim South Korea
Huijuan Liu China
Shin‐Young Park South Korea
Ewa Witort Italy
Byeong Mo Kim South Korea
Miljana Momčilović Serbia
Adriana Carol Eleonora Graziano Italy
Yali Liu China
David R Grubb Australia
Lu Gan relative to Chang‐Yi Wu Taiwan Chang‐Yi Wu's profile →
Citations per field
00.5×3.5×
Chang‐Yi Wu · 1×
Citations per year

Countries citing papers authored by Lu Gan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004251
2 2003105
3 201286
4 200275
5 202172
6 201260
7 200852
8 201746
9 201745
10 201943
11 201541
12 200540
13 202135
14 201935
15 201333
16 201330
17 201630
18 202229
19 200527
20 202426

About Lu Gan

Lu Gan is a scholar working on Molecular Biology, Plant Science, Oncology, Cancer Research and Pharmacology, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (3 papers), RNA Interference and Gene Delivery (3 papers), Medical and Biological Ozone Research (3 papers), Multiple Sclerosis Research Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Bioactive Natural Diterpenoids Research (2 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Biochemistry (66 citations), Plant Science (342 citations), Nutrition and Dietetics (127 citations) and Pharmacology (69 citations). Lu Gan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huibi Xu, Yang Xiang, Hui Xu, Xiangliang Yang, Shenghua Zhang, Qiong Liu, Maoteng Li, Qiong Liu, Jia-Luo Huang and Sheng Yin. Their work appears in journals such as Cancer Letters, Biological Trace Element Research, Scientific Reports, PLoS ONE and Journal of Cellular Biochemistry.

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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