Lijun Mo
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- MicroRNA in disease regulation
Papers in
- Oncology 10
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 2
- Inflammatory Biomarkers in Disease Prognosis 2
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- Bone Metabolism and Diseases 3
- Co-authors
- Zhiming Hu (12 shared papers)Jin‐Long Li (11 shared papers)Hongwei Li (9 shared papers)Xinji Zhang (6 shared papers)Xiaojun Shi (4 shared papers)Jimin Gao (3 shared papers)Lili Wei (3 shared papers)Xingfen Yang (6 shared papers)
- Journals
- Journal of Cancer (3 papers)Medicine (2 papers)International Journal of Medical Sciences (2 papers)Food and Chemical Toxicology (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lijun Mo
32 papers receiving 587 citations
Peers
Comparison fields: 5 of 96
- Immunology 158
- Cancer Research 89
- Oncology 160
- Aging 8
- Health, Toxicology and Mutagenesis 53
Countries citing papers authored by Lijun Mo
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
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.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 77 | |
| 2 | 2021 | 77 | |
| 3 | 2017 | 43 | |
| 4 | 2018 | 42 | |
| 5 | 2017 | 38 | |
| 6 | Chloride channel expression in cultured human fetal RPE cells: response to oxidative stress. | 2000 | 38 |
| 7 | 2017 | 29 | |
| 8 | 2018 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2023 | 20 | |
| 12 | 2018 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2018 | 8 |
About Lijun Mo
Lijun Mo is a scholar working on Oncology, Molecular Biology, Immunology, Surgery and Cancer Research, having authored 35 papers that have together received 595 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Bladder and Urothelial Cancer Treatments (3 papers), Bone Metabolism and Diseases (3 papers), Heavy Metal Exposure and Toxicity (3 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Immunology (158 citations), Cancer Research (89 citations), Oncology (160 citations), Aging (8 citations) and Health, Toxicology and Mutagenesis (53 citations). Lijun Mo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiming Hu, Jin‐Long Li, Hongwei Li, Xinji Zhang, Xiaojun Shi, Jimin Gao, Lili Wei, Xingfen Yang, Jia Song and Hua Guan. Their work appears in journals such as Journal of Cancer, Medicine, International Journal of Medical Sciences, Food and Chemical Toxicology and Cancer Letters.
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.