Binli Mao

456 citations
9 papers · 317 · 1 hit paper · h-index 7

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Binli Mao

9 papers receiving 310 citations

Binli Mao's Hit Papers

The SARS-CoV-2 protein ORF3a inhibits fusion of autophagosomes with lysosomes 2021 · 170 citations
1700+1+3Years since publication50100150

Peers

Binli Mao
Comparison fields: 5 of 65
  • Physiology 40
  • Infectious Diseases 136
  • Epidemiology 115
  • Immunology 55
  • Cell Biology 36
Replace Avery Peace with:
Avery Peace United States
Ansgar F. Stenzel Germany
Inna Ricardo-Lax United States
Oded Danziger Israel
Katherine Travisano United States
Krishnan Harinivas Harshan India
Eva Hernández France
Jinxin Ou China
Mei‐Ling Nan China
Jiaming Su China
Binli Mao relative to Avery Peace United States Avery Peace's profile →
Citations per field
00.5×3.6×
Avery Peace · 1×
Citations per year

Countries citing papers authored by Binli Mao

Since Specialization
Citations

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

Fields of papers citing papers by Binli Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
The SARS-CoV-2 protein ORF3a inhibits fusion of autophagosomes with lysosomes
Hit paper breakdown →
2021170
2 202148
3 202141
4 202218
5 202415
6 20249
7 20249
8 20206
9 20241

About Binli Mao

Binli Mao is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Genetics and Physiology, having authored 9 papers that have together received 317 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Extracellular vesicles in disease (2 papers), RNA Interference and Gene Delivery (2 papers), Venomous Animal Envenomation and Studies (2 papers), Immune Cell Function and Interaction (2 papers), Autophagy in Disease and Therapy (2 papers) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Physiology (40 citations), Infectious Diseases (136 citations), Epidemiology (115 citations), Immunology (55 citations) and Cell Biology (36 citations). Binli Mao has collaborated with scholars based in China, Germany and Thailand. Frequent co-authors include Zhenyu Zhao, Yong Lin, Kefeng Lu, Rongjuan Pei, Yabin Zhang, Huihui Li, Hao Sun, Ailong Huang, Mengji Lu and Yingying Deng. Their work appears in journals such as Emerging Microbes & Infections, Virus Research, Frontiers in Cellular and Infection Microbiology, Cellular and Molecular Immunology and Frontiers in Immunology.

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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