Lu Gan

1.7k citations
52 papers · 1.3k · h-index 20

Impact in

Papers in

    • Photosynthetic Processes and Mechanisms 4
    • Retinoids in leukemia and cellular processes 3
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 3

Lu Gan

49 papers receiving 1.3k citations

Peers

Lu Gan
Comparison fields: 5 of 116
  • Developmental Neuroscience 65
  • Plant Science 365
  • Biochemistry 71
  • Pharmacology 73
  • Biochemistry 50
Replace Martino Donnini with:
Martino Donnini Italy
Chang‐Yi Wu Taiwan
Ewa Witort Italy
Huijuan Liu China
Aleksandra Isaković Serbia
Yali Liu China
Miljana Momčilović Serbia
Byeong Mo Kim South Korea
Chia‐Hsiung Cheng Taiwan
Firdous A. Khanday India
Lu Gan relative to Martino Donnini Italy Martino Donnini's profile →
Citations per field
00.5×3.0×
Martino Donnini · 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 2004249
2 2003104
3 201286
4 200275
5 202168
6 201260
7 200849
8 201744
9 201743
10 201943
11 201541
12 200540
13 201935
14 201333
15 202132
16 201630
17 201330
18 202228
19 200527
20 202419

About Lu Gan

Lu Gan is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Immunology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (4 papers), Medical and Biological Ozone Research (3 papers), Retinoids in leukemia and cellular processes (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Multiple Sclerosis Research Studies (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Developmental Neuroscience (65 citations), Plant Science (365 citations), Biochemistry (71 citations), Pharmacology (73 citations) and Biochemistry (50 citations). Lu Gan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huibi Xu, Hui Xu, Yang Xiang, Xiangliang Yang, Shenghua Zhang, Qiong Liu, Maoteng Li, Qiong Liu, Hongxiang Chen and Sheng Yin. Their work appears in journals such as Cancer Letters, Biological Trace Element Research, Scientific Reports, Journal of Cellular Biochemistry and Free Radical Research.

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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