Dan Mi

3.5k citations
6 papers · 2.3k indexed · 1 hit paper · h-index 5

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
  • Neurology top 5%
    • Long-Term Effects of COVID-19

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 2
    • Viral Infections and Outbreaks Research 1
    • SARS-CoV-2 detection and testing 1
    • Animal Virus Infections Studies 2

Dan Mi

6 papers receiving 2.2k citations

Hit Papers

Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV 2020 · 2.2k citations
2.2k202020262022202450010001.5k2.0k

Peers

Dan Mi
Comparison fields: 5 of 127
  • Infectious Diseases 1.7k
  • Neurology 285
  • Physiology 78
  • Animal Science and Zoology 174
  • Modeling and Simulation 61
Replace Zhixia Mu with:
Zhixia Mu China
Xiuyuan Ou China
Zichun Xiang China
Cody B. Jackson United States
Heike Hofmann-Winkler Germany
James Brett Case United States
Jose M. Jiménez-Guardeño Spain
Paul W. Rothlauf United States
Carlos Castaño-Rodríguez Spain
Dan Mi relative to Zhixia Mu China Zhixia Mu's profile →
Citations per field
00.5×1.5×
Zhixia Mu · 1×
Citations per year

Countries citing papers authored by Dan Mi

Since Specialization
Citations

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

Fields of papers citing papers by Dan Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV
Hit paper breakdown →
20202205
2 202127
3 202119
4 20188
5 20195
6 20221

About Dan Mi

Dan Mi is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Genetics and Immunology, having authored 6 papers that have together received 2.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (2 papers), COVID-19 Clinical Research Studies (2 papers), interferon and immune responses (1 paper), Hepatitis B Virus Studies (1 paper), Viral Infections and Outbreaks Research (1 paper), Hepatitis C virus research (1 paper) and SARS-CoV-2 detection and testing (1 paper). The work is most often cited by research in Infectious Diseases (1.7k citations), Neurology (285 citations), Physiology (78 citations), Animal Science and Zoology (174 citations) and Modeling and Simulation (61 citations). Dan Mi has collaborated with scholars based in China and United States. Frequent co-authors include Xiuyuan Ou, Zhaohui Qian, Zhixia Mu, Yan Liu, Jianwei Wang, Jiaxin Hu, Qi Jin, Lili Ren, Xiaobo Lei and Zichun Xiang. Their work appears in journals such as Journal of Virology, Nature Communications, Science Bulletin and Methods in 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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