Lijuan Mo

2.4k citations
53 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

Lijuan Mo

46 papers receiving 1.7k citations

Lijuan Mo's Hit Papers

The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitor 2003 · 783 citations
7830+7+15Years since publication250500750

Peers

Lijuan Mo
Comparison fields: 5 of 121
  • Infectious Diseases 531
  • Computational Theory and Mathematics 399
  • Neurology 182
  • Animal Science and Zoology 89
  • Neurology 65
Replace Liang Ye with:
Liang Ye China
Haibo Wu China
Srinivasa Reddy Bonam France
Mirza S. Baig India
Rong‐Hua Luo China
Ourania Tsitsilonis Greece
Yujia Zhai China
Claudia Campanella Italy
Jingyi Li China
Qiong Wang China
Lijuan Mo relative to Liang Ye China Liang Ye's profile →
Citations per field
00.5×3.8×
Liang Ye · 1×
Citations per year

Countries citing papers authored by Lijuan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Lijuan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The crystal structures of severe acute respiratory syndrome virus main protease and its complex with an inhibitor
Hit paper breakdown →
2003783
2 2013145
3 201294
4 202075
5 201260
6 202354
7 202154
8 201950
9 202247
10 201831
11 201030
12 201721
13 202119
14 201219
15 201718
16 201918
17 202216
18 202515
19 202314
20 202113

About Lijuan Mo

Lijuan Mo is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Ecology, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (11 papers), Neurological disorders and treatments (7 papers), Neuroscience and Neuropharmacology Research (4 papers), Epilepsy research and treatment (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Ocular Surface and Contact Lens (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Infectious Diseases (531 citations), Computational Theory and Mathematics (399 citations), Neurology (182 citations), Animal Science and Zoology (89 citations) and Neurology (65 citations). Lijuan Mo has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Zihe Rao, Haitao Yang, Mark Bartlam, Lei Sun, Zhiyong Lou, Hai Pang, Maojun Yang, Yi Ding, Sheng Ye and R. Hilgenfeld. Their work appears in journals such as Neuroreport, Neurological Sciences, Journal of Neuroinflammation, Proceedings of the National Academy of Sciences and Brain and Behavior.

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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