Menglu Gao

416 citations
20 papers · 278 · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 4
    • Advanced biosensing and bioanalysis techniques 3
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 3

Menglu Gao

16 papers receiving 273 citations

Peers

Menglu Gao
Comparison fields: 5 of 79
  • Biochemistry 23
  • Infectious Diseases 58
  • Food Science 51
  • Neurology 32
  • Analytical Chemistry 15
Replace Suneetha Vuppu with:
Suneetha Vuppu India
Lili Chen China
Kyung Tae Kim South Korea
Xiaoxiao Feng China
Camila Diedrich Brazil
Lucas Amaral-Machado Brazil
Ahtesham Hussain South Korea
Luís Roque Portugal
Guolin Shi China
Konstantinos Periferakis Romania
Menglu Gao relative to Suneetha Vuppu India Suneetha Vuppu's profile →
Citations per field
00.5×6.4×
Suneetha Vuppu · 1×
Citations per year

Countries citing papers authored by Menglu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Menglu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202065
2 202238
3 202032
4 201627
5 202027
6 202127
7 202322
8 202411
9 20218
10 20206
11 20194
12 20254
13 20232
14 20252
15
Culture-based interpretation of projected destination images: A semantic network analysis
20142
16 20251
17 20250
18 20250
19 20230
20 20250

About Menglu Gao

Menglu Gao is a scholar working on Molecular Biology, Infectious Diseases, Electrical and Electronic Engineering, Biomedical Engineering and Neurology, having authored 20 papers that have together received 278 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (4 papers), COVID-19 Clinical Research Studies (4 papers), CRISPR and Genetic Engineering (4 papers), Integrated Energy Systems Optimization (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Microgrid Control and Optimization (2 papers). The work is most often cited by research in Biochemistry (23 citations), Infectious Diseases (58 citations), Food Science (51 citations), Neurology (32 citations) and Analytical Chemistry (15 citations). Menglu Gao has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Da Xu, Minyan Wang, Yanping Ma, Anzhi Wei, Zhaoqin Zhu, Mingquan Guo, Zhibin Wu, Xiaodong Yang, Yanmin Wan and Jozef L. Kokini. Their work appears in journals such as Analytical Chemistry, Industrial Crops and Products, Energy and Buildings, TrAC Trends in Analytical Chemistry and Biosensors and Bioelectronics.

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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