Xiaokui Mo
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Biological Psychiatry top 5%
Papers in
- Genetics 40
- Chronic Lymphocytic Leukemia Research 35
- Immunology 55
- Immune Cell Function and Interaction 22
- Immunodeficiency and Autoimmune Disorders 10
- Co-authors
- Natarajan MuthusamyJohn C. ByrdKathi J. KemperRami KhayatPhillip G. PopovichArunark KolipakaArnab ChakravartiJodie C.E. Hall
- Journals
- Blood (18 papers)The Journal of Immunology (10 papers)Clinical Cancer Research (9 papers)PLoS ONE (8 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Xiaokui Mo
207 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Cancer Research 1.2k
- Biological Psychiatry 144
- Genetics 603
- Immunology 1.1k
- Oncology 1.1k
Countries citing papers authored by Xiaokui Mo
This map shows the geographic impact of Xiaokui 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 Xiaokui Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaokui Mo more than expected).
Fields of papers citing papers by Xiaokui Mo
This network shows the impact of papers produced by Xiaokui 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 Xiaokui Mo. The network helps show where Xiaokui Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaokui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 7 | |
| 4 | 2021 | 2 | |
| 5 | 2020 | 3 | |
| 6 | 2017 | 1 | |
| 7 | 2016 | 13 | |
| 8 | 2016 | 244 | |
| 9 | 2016 | 22 | |
| 10 | 2016 | 31 | |
| 11 | 2016 | 66 | |
| 12 | 2016 | 55 | |
| 13 | 2015 | 182 | |
| 14 | 2015 | 115 | |
| 15 | 2014 | 147 | |
| 16 | 2013 | 18 | |
| 17 | 2013 | 50 | |
| 18 | 2013 | 23 | |
| 19 | 2013 | 49 | |
| 20 | 2012 | 26 |
About Xiaokui Mo
Xiaokui Mo is a scholar working on Genetics, Immunology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 217 papers that have together received 6.1k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (35 papers), Immune Cell Function and Interaction (22 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), MicroRNA in disease regulation (14 papers), Lymphoma Diagnosis and Treatment (13 papers), CAR-T cell therapy research (12 papers), Ultrasound Imaging and Elastography (11 papers) and Immunodeficiency and Autoimmune Disorders (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Biological Psychiatry (144 citations), Genetics (603 citations), Immunology (1.1k citations) and Oncology (1.1k citations). Xiaokui Mo has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Natarajan Muthusamy, John C. Byrd, Kathi J. Kemper, Rami Khayat, Phillip G. Popovich, Arunark Kolipaka, Arnab Chakravarti, Jodie C.E. Hall, Thomas D. Schmittgen and Jinmai Jiang. Their work appears in journals such as Blood, The Journal of Immunology, Clinical Cancer Research, PLoS ONE and Journal of Biological Chemistry.
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.