Rui Gao

1.4k citations
63 papers · 979 · h-index 17

Impact in

Papers in

    • Genomics and Phylogenetic Studies 11
    • Advanced biosensing and bioanalysis techniques 6
    • Circular RNAs in diseases 3
    • Plant-Microbe Interactions and Immunity 4

Rui Gao

59 papers receiving 966 citations

Peers

Rui Gao
Comparison fields: 5 of 113
  • Microbiology 7
  • Biomaterials 113
  • Molecular Biology 485
  • Pollution 78
  • Cancer Research 69
Replace Shuyi Yu with:
Shuyi Yu China
Tea Pavkov‐Keller Austria
Wenping Huang China
Xiaojing Dong China
Zhou Chen China
Hongmei Hu China
Beom‐Su Jang South Korea
Guoping Zhu China
Zazali Alias Malaysia
Yong‐Xing He China
Rui Gao relative to Shuyi Yu China Shuyi Yu's profile →
Citations per field
00.5×3.5×
Shuyi Yu · 1×
Citations per year

Countries citing papers authored by Rui Gao

Since Specialization
Citations

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

Fields of papers citing papers by Rui Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019102
2 201871
3 202266
4 202161
5 202246
6 202144
7 201935
8 202233
9 201929
10 201928
11 201528
12 202026
13 202222
14 201520
15 202120
16 202320
17 201917
18 200816
19 201816
20 202016

About Rui Gao

Rui Gao is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Pharmacology, having authored 63 papers that have together received 979 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Advanced biosensing and bioanalysis techniques (6 papers), Microbial Natural Products and Biosynthesis (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Ferroptosis and cancer prognosis (4 papers), Biosensors and Analytical Detection (3 papers), Plant and animal studies (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Microbiology (7 citations), Biomaterials (113 citations), Molecular Biology (485 citations), Pollution (78 citations) and Cancer Research (69 citations). Rui Gao has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Chuanlai Xu, Hua Kuang, Liguang Xu, Changlong Hao, Jiazhang Lian, Haojie Pan, Wen‐Jun Li, Yan-Qing Duan, Bo Yan and Zhiyong He. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Antonie van Leeuwenhoek, Archives of Microbiology, International Journal of Molecular Sciences and Pharmaceutics.

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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