Lijun Mo

771 citations
34 papers · 571 · h-index 14

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • MicroRNA in disease regulation

Papers in

    • Bone Metabolism and Diseases 3
    • Cancer Immunotherapy and Biomarkers 7
    • Inflammatory Biomarkers in Disease Prognosis 2

Lijun Mo

30 papers receiving 563 citations

Peers

Lijun Mo
Comparison fields: 5 of 96
  • Immunology 172
  • Cancer Research 104
  • Oncology 173
  • Aging 9
  • Health, Toxicology and Mutagenesis 50
Replace Suharsh Shah with:
Suharsh Shah Canada
Simone Borgoni Germany
Jiyoung Oh South Korea
Heidi S. Schultz Denmark
Linglin Xie United States
Wojciech Barczak Poland
Mi‐Ae Lim South Korea
Sangita Choudhury United States
Qiuwan Zhang China
Anne Lise Ferrara Italy
Lijun Mo relative to Suharsh Shah Canada Suharsh Shah's profile →
Citations per field
00.5×3.5×
Suharsh Shah · 1×
Citations per year

Countries citing papers authored by Lijun Mo

Since Specialization
Citations

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

Fields of papers citing papers by Lijun Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201876
2 202172
3 201743
4 201842
5 201738
6
Chloride channel expression in cultured human fetal RPE cells: response to oxidative stress.
200038
7 201829
8 201728
9 202026
10 202225
11 202320
12 201818
13 201717
14 202113
15 20219
16 20229
17 20188
18 20228
19 20228
20 20207

About Lijun Mo

Lijun Mo is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cancer Research, having authored 34 papers that have together received 571 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (7 papers), Long-Term Effects of COVID-19 (3 papers), Immune Cell Function and Interaction (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Bone Metabolism and Diseases (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Immunology (172 citations), Cancer Research (104 citations), Oncology (173 citations), Aging (9 citations) and Health, Toxicology and Mutagenesis (50 citations). Lijun Mo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiming Hu, Jin‐Long Li, Hongwei Li, Xinji Zhang, Xiaojun Shi, Lili Wei, Jimin Gao, Xingfen Yang, Jia Song and Xiaodan Liu. Their work appears in journals such as Journal of Cancer, Food and Chemical Toxicology, International Journal of Medical Sciences, Medicine and Microbial Pathogenesis.

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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