Xiaoning Mo
Impact in
- Oncology top 10%
- Chemokine receptors and signaling
- Cytokine Signaling Pathways and Interactions
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Oncology 20
- Chemokine receptors and signaling 14
- Peptidase Inhibition and Analysis 4
- Immunology 15
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 7
- Co-authors
- Wenling Han (20 shared papers)Dalong Ma (15 shared papers)Pingzhang Wang (15 shared papers)Ting Li (9 shared papers)Baocai Liu (5 shared papers)Quansheng Song (9 shared papers)Yingmei Zhang (6 shared papers)Wanqiong Yuan (4 shared papers)
- Journals
- Cellular Immunology (3 papers)Acta Biochimica et Biophysica Sinica (2 papers)BMB Reports (2 papers)Scientific Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Xiaoning Mo
39 papers receiving 908 citations
Peers
Comparison fields: 5 of 76
- Oncology 350
- Immunology 243
- Cancer Research 142
- Immunology and Allergy 34
- Molecular Biology 331
Countries citing papers authored by Xiaoning Mo
This map shows the geographic impact of Xiaoning 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 Xiaoning Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoning Mo more than expected).
Fields of papers citing papers by Xiaoning Mo
This network shows the impact of papers produced by Xiaoning 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 Xiaoning Mo. The network helps show where Xiaoning Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoning 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 58 | |
| 2 | 2016 | 55 | |
| 3 | 2015 | 52 | |
| 4 | 2018 | 52 | |
| 5 | 2019 | 48 | |
| 6 | 2016 | 46 | |
| 7 | 2013 | 46 | |
| 8 | 2006 | 46 | |
| 9 | 2015 | 45 | |
| 10 | 2010 | 44 | |
| 11 | 2016 | 39 | |
| 12 | 2014 | 32 | |
| 13 | 2018 | 31 | |
| 14 | 2012 | 30 | |
| 15 | 2008 | 29 | |
| 16 | 2019 | 24 | |
| 17 | 2010 | 21 | |
| 18 | 2015 | 20 | |
| 19 | 2010 | 20 | |
| 20 | 2021 | 20 |
About Xiaoning Mo
Xiaoning Mo is a scholar working on Oncology, Immunology, Immunology and Allergy, Cancer Research and Molecular Biology, having authored 39 papers that have together received 916 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (14 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Glycosylation and Glycoproteins Research (6 papers), Peptidase Inhibition and Analysis (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Oncology (350 citations), Immunology (243 citations), Cancer Research (142 citations), Immunology and Allergy (34 citations) and Molecular Biology (331 citations). Xiaoning Mo has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Wenling Han, Dalong Ma, Pingzhang Wang, Ting Li, Baocai Liu, Quansheng Song, Yingmei Zhang, Wanqiong Yuan, Wenyan Wang and Xiaolin Wang. Their work appears in journals such as Cellular Immunology, Acta Biochimica et Biophysica Sinica, BMB Reports, Scientific Reports and Oncotarget.
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.