Wenjun Mou
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
- Immunology 19
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 5
- Immunodeficiency and Autoimmune Disorders 4
- Co-authors
- Dan Lv (2 shared papers)Na Li (3 shared papers)Yingxi Xu (3 shared papers)Ralph A. Reisfeld (2 shared papers)Yanhua Liu (2 shared papers)Rong Xiang (2 shared papers)Lina Wang (2 shared papers)Jingang Gui (22 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Clinical Immunology (4 papers)Immunogenetics (3 papers)BMC Immunology (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wenjun Mou
35 papers receiving 747 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 149
- Oncology 216
- Immunology 170
- Molecular Biology 336
- Pulmonary and Respiratory Medicine 82
Countries citing papers authored by Wenjun Mou
This map shows the geographic impact of Wenjun Mou'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 Wenjun Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Mou more than expected).
Fields of papers citing papers by Wenjun Mou
This network shows the impact of papers produced by Wenjun Mou. 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 Wenjun Mou. The network helps show where Wenjun Mou may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun Mou, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 164 | |
| 2 | 2012 | 141 | |
| 3 | 2013 | 80 | |
| 4 | 2014 | 57 | |
| 5 | 2016 | 42 | |
| 6 | 2017 | 31 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 18 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2022 | 14 | |
| 13 | 2014 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2022 | 11 | |
| 16 | 2014 | 11 | |
| 17 | 2016 | 9 | |
| 18 | Association of serum homocysteine levels with the severity and calcification of coronary atherosclerotic plaques detected by coronary CT angiography. | 2014 | 9 |
| 19 | 2013 | 8 | |
| 20 | 2020 | 8 |
About Wenjun Mou
Wenjun Mou is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 756 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (5 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Diabetes and associated disorders (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Neuroblastoma Research and Treatments (3 papers), Cancer Cells and Metastasis (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (149 citations), Oncology (216 citations), Immunology (170 citations), Molecular Biology (336 citations) and Pulmonary and Respiratory Medicine (82 citations). Wenjun Mou has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Dan Lv, Na Li, Yingxi Xu, Ralph A. Reisfeld, Yanhua Liu, Rong Xiang, Lina Wang, Jingang Gui, Xiaodan Li and Xuexin Tan. Their work appears in journals such as Frontiers in Immunology, Clinical Immunology, Immunogenetics, BMC Immunology and Cell Death Discovery.
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.