Gan Dai

1.2k citations
15 papers · 878 · 1 hit paper · h-index 9

Impact in

Papers in

Gan Dai

14 papers receiving 865 citations

Gan Dai's Hit Papers

<p>Antibacterial activity and mechanism of silver nanoparticles against multidrug-resistant <em>Pseudomonas aeruginosa</em></p> 2019 · 372 citations
3720+2+4Years since publication100200300

Peers

Gan Dai
Comparison fields: 5 of 110
  • Microbiology 116
  • Animal Science and Zoology 140
  • Food Science 111
  • Materials Chemistry 265
  • Molecular Medicine 28
Replace Yinyan Yin with:
Yinyan Yin China
Rashmirekha Pati India
Maozhi Hu China
Zhixin Lei China
Seyed Ali Mirhosseini Iran
Calvin T. Sung United States
Hongmei Li China
Hsiao‐Wei Wen Taiwan
Rebeca García‐Varela Mexico
Gan Dai relative to Yinyan Yin China Yinyan Yin's profile →
Citations per field
00.5×1.5×2.4×
Yinyan Yin · 1×
Citations per year

Countries citing papers authored by Gan Dai

Since Specialization
Citations

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

Fields of papers citing papers by Gan Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
<p>Antibacterial activity and mechanism of silver nanoparticles against multidrug-resistant <em>Pseudomonas aeruginosa</em></p>
Hit paper breakdown →
2019372
2 2011215
3 202064
4 202059
5 201249
6 201834
7 202029
8 202119
9 201711
10 20078
11 20077
12 20196
13 20214
14
Societal metabolism analysis of China's four municipalities based on MSIASM theory and carbon emissions from energy consumption
20151
15
[Experimental study of mouse infected with human cytomegalovirus AD169 strain].
20030

About Gan Dai

Gan Dai is a scholar working on Molecular Biology, Cancer Research, Immunology, Genetics and Oncology, having authored 15 papers that have together received 878 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Glioma Diagnosis and Treatment (3 papers), Antimicrobial Peptides and Activities (3 papers), MicroRNA in disease regulation (2 papers), Bacterial biofilms and quorum sensing (2 papers), Parasites and Host Interactions (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Animal Nutrition and Physiology (1 paper). The work is most often cited by research in Microbiology (116 citations), Animal Science and Zoology (140 citations), Food Science (111 citations), Materials Chemistry (265 citations) and Molecular Medicine (28 citations). Gan Dai has collaborated with scholars based in China and United States. Frequent co-authors include Linqian Wang, Liyu Chen, Yapeng Zhang, Guojun Wu, Feizhou Zhu, Zhongyi Cheng, Qianqian Liu, Guolong Zhang, Yugendar R. Bommineni and Lakshmi T. Sunkara. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Journal of Proteome Research, Journal of Medical Virology, Experimental Biology and Medicine and Journal of Animal Science and Biotechnology.

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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