Mijia Lu

1.3k citations
25 papers · 769 · h-index 17

Impact in

    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • Cancer-related molecular mechanisms research

Papers in

    • Viral gastroenteritis research and epidemiology 6
    • SARS-CoV-2 and COVID-19 Research 5
    • Respiratory viral infections research 8
    • Virology and Viral Diseases 5

Mijia Lu

24 papers receiving 754 citations

Peers

Mijia Lu
Comparison fields: 5 of 59
  • Infectious Diseases 237
  • Cancer Research 172
  • Animal Science and Zoology 75
  • Molecular Biology 441
  • Immunology 125
Replace Miaoge Xue with:
Miaoge Xue United States
Yunzhang Hu China
Chao Qin China
Diwakar Santhakumar United Kingdom
Xiaoqiong Duan China
May K. Wang United States
Boli Hu China
Xiaojuan Jia China
LI Jian-qing China
Tadashi Maemura Japan
Mijia Lu relative to Miaoge Xue United States Miaoge Xue's profile →
Citations per field
00.5×
Miaoge Xue · 1×
Citations per year

Countries citing papers authored by Mijia Lu

Since Specialization
Citations

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

Fields of papers citing papers by Mijia Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020208
2 201979
3 201861
4 202253
5 200340
6 202138
7 202233
8 201830
9 202127
10 202027
11 202126
12 202223
13 202319
14 201618
15 201817
16 200117
17 201916
18 201910
19 202010
20 20238

About Mijia Lu

Mijia Lu is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 769 indexed citations. Recurring topics across this work include Respiratory viral infections research (8 papers), Viral gastroenteritis research and epidemiology (6 papers), RNA modifications and cancer (6 papers), Animal Virus Infections Studies (5 papers), Virology and Viral Diseases (5 papers), Viral Infections and Immunology Research (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (237 citations), Cancer Research (172 citations), Animal Science and Zoology (75 citations), Molecular Biology (441 citations) and Immunology (125 citations). Mijia Lu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jiànróng Lǐ, Xueya Liang, Mark E. Peeples, Chuan He, Anzhong Li, Miaoge Xue, Zijie Zhang, Stefan Niewiesk, Olivia Harder and Boxuan Zhao. Their work appears in journals such as Journal of Virology, Nature Communications, Proceedings of the National Academy of Sciences, Viruses and The Journal of 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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