Jingfang Mu

2.7k citations
30 papers · 1.2k indexed · 1 hit paper · h-index 13

Jingfang Mu

28 papers receiving 1.1k citations

Hit Papers

The ORF3a protein of SARS-CoV-2 induces apoptosis in cells3452020202620222024100200300

Peers

Jingfang Mu
Comparison fields: 5 of 83
  • Infectious Diseases 504
  • Immunology 298
  • Cancer Research 176
  • Animal Science and Zoology 89
  • Molecular Biology 546
Replace Kris M. White with:
Kris M. White United States
Joshua L. Andersen United States
Nabab Khan United States
Shoudeng Chen China
Robin E. Stanley United States
Qingfeng Meng China
Shivani K Thaker United States
Alain Scaiola Switzerland
Young‐Chan Kwon South Korea
Mercedes Armand‐Ugón Spain
Jingfang Mu relative to Kris M. White United States Kris M. White's profile →
Citations per field
00.5×5.2×
Kris M. White · 1×
Citations per year

Countries citing papers authored by Jingfang Mu

Since Specialization
Citations

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

Fields of papers citing papers by Jingfang Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20243
5 20245
6 202120
7 2021175
8 20212
9
The ORF3a protein of SARS-CoV-2 induces apoptosis in cellsbreakdown →
2020345
10 20198
11 201916
12 20185
13 201616
14 2016175
15 20168
16 201630
17 20159
18
Determination of Sex Hormones in Antler Velvet by High Performance Liquid Chromatography Tandem Mass Spectrometry
20122
19 201185
20 200827

About Jingfang Mu

Jingfang Mu is a scholar working on Infectious Diseases, Geriatrics and Gerontology and Hepatology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (7 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (5 papers), Insect Resistance and Genetics (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Hepatitis B Virus Studies (3 papers), interferon and immune responses (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Infectious Diseases (504 citations), Immunology (298 citations) and Cancer Research (176 citations). Jingfang Mu has collaborated with scholars based in China, Netherlands and Macao. Frequent co-authors include Yang Qiu, Xi Zhou, Ting Shu, Muhan Huang, Yang Han, Yujie Ren, Chong Wang, Wei Zhou, Di Wu and HG Zhang. Their work appears in journals such as Journal of Biological Chemistry, Applied Catalysis B: Environmental and Oncogene.

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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