Jun Mo
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in ⓘ
-
- Acute Myeloid Leukemia Research 5
- Genetics 3
- Glioma Diagnosis and Treatment 2
- Co-authors
- Yi Zheng (3 shared papers)Linda Yang (2 shared papers)José A. Cancelas (2 shared papers)Hartmut Geiger (1 shared paper)Lei Wang (1 shared paper)David A. Williams (2 shared papers)Teresa A. Smolarek (3 shared papers)Stella M. Davies (3 shared papers)
- Journals
- American Journal of Clinical Pathology (2 papers)Pediatric Blood & Cancer (2 papers)British Journal of Haematology (1 paper)World Neurosurgery (1 paper)Journal of Pediatric Hematology/Oncology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jun Mo
21 papers receiving 474 citations
Peers
Comparison fields: 5 of 53
- Hematology 168
- Immunology 125
- Genetics 49
- Cell Biology 71
- Molecular Biology 235
Countries citing papers authored by Jun Mo
This map shows the geographic impact of Jun 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 Jun Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mo more than expected).
Fields of papers citing papers by Jun Mo
This network shows the impact of papers produced by Jun 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 Jun Mo. The network helps show where Jun Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 143 | |
| 2 | 2007 | 71 | |
| 3 | 2010 | 43 | |
| 4 | 2011 | 40 | |
| 5 | 2013 | 38 | |
| 6 | 2006 | 36 | |
| 7 | 2017 | 34 | |
| 8 | 2018 | 20 | |
| 9 | 2013 | 17 | |
| 10 | 2006 | 11 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 4 | |
| 13 | 2010 | 4 | |
| 14 | 2006 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2006 | 1 |
About Jun Mo
Jun Mo is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Molecular Medicine and Neurology, having authored 26 papers that have together received 480 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Immune Cell Function and Interaction (3 papers), Tumors and Oncological Cases (3 papers), T-cell and B-cell Immunology (2 papers), Teratomas and Epidermoid Cysts (2 papers), DNA Repair Mechanisms (2 papers), Glioma Diagnosis and Treatment (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Hematology (168 citations), Immunology (125 citations), Genetics (49 citations), Cell Biology (71 citations) and Molecular Biology (235 citations). Jun Mo has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yi Zheng, Linda Yang, José A. Cancelas, Hartmut Geiger, Lei Wang, David A. Williams, Teresa A. Smolarek, Stella M. Davies, Parinda A. Mehta and Richard E. Harris. Their work appears in journals such as American Journal of Clinical Pathology, Pediatric Blood & Cancer, British Journal of Haematology, World Neurosurgery and Journal of Pediatric Hematology/Oncology.
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.