Ming-Ming Ji

723 citations
12 papers · 525 · 1 hit paper · h-index 7

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

Ming-Ming Ji

11 papers receiving 523 citations

Ming-Ming Ji's Hit Papers

ORF3a of the COVID-19 virus SARS-CoV-2 blocks HOPS complex-mediated assembly of the SNARE complex required for autolysosome formation 2020 · 270 citations
2700+2+4Years since publication50100150200250

Peers

Ming-Ming Ji
Comparison fields: 5 of 61
  • Physiology 77
  • Infectious Diseases 224
  • Epidemiology 178
  • Cell Biology 91
  • Immunology 108
Replace Elliott M. Bernard with:
Elliott M. Bernard United Kingdom
Shauna Marvin United States
Antonino Bongiovanni France
Pierre‐Philippe Luyet Switzerland
Komla Sobo Switzerland
Yungang Lan China
Zana Lukic United States
Pratima Rawat United States
Ana M. Villamil Giraldo Sweden
Vrushali Mangale United States
Ming-Ming Ji relative to Elliott M. Bernard United Kingdom Elliott M. Bernard's profile →
Citations per field
00.5×
Elliott M. Bernard · 1×
Citations per year

Countries citing papers authored by Ming-Ming Ji

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Ming Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Ming Ji. 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 Ming-Ming Ji. The network helps show where Ming-Ming Ji may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
ORF3a of the COVID-19 virus SARS-CoV-2 blocks HOPS complex-mediated assembly of the SNARE complex required for autolysosome formation
Hit paper breakdown →
2020270
2 2021139
3 202259
4 201314
5 201614
6 202212
7 20107
8 20175
9 20162
10 20212
11 20091
12 20220

About Ming-Ming Ji

Ming-Ming Ji is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology, Biomaterials and Infectious Diseases, having authored 12 papers that have together received 525 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (4 papers), Silk-based biomaterials and applications (3 papers), Autophagy in Disease and Therapy (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Neurobiology and Insect Physiology Research (2 papers), Insect Resistance and Genetics (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Physiology (77 citations), Infectious Diseases (224 citations), Epidemiology (178 citations), Cell Biology (91 citations) and Immunology (108 citations). Ming-Ming Ji has collaborated with scholars based in China and Japan. Frequent co-authors include Yan Li, Hong Zhang, Yong Chen, Pei‐Hui Wang, Hongyu Zhao, Yuhai Bi, Yi Shi, Guangyan Miao, Hongyu Deng and Long Sun. Their work appears in journals such as Developmental Cell, Insect Molecular Biology, Journal of Applied Entomology, Biochemical and Biophysical Research Communications and Insect Biochemistry and Molecular Biology.

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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