Junfeng Wang
Impact in
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 11
- Immune cells in cancer 8
- Immune Cell Function and Interaction 4
- Co-authors
- Daping Fan (7 shared papers)Stephen Iwanowycz (3 shared papers)Yuzhen Wang (5 shared papers)Yun Jin (4 shared papers)Fang Yu (3 shared papers)Zhiwei Sun (3 shared papers)Yvonne Hui (2 shared papers)Diego Altomare (2 shared papers)
- Journals
- Stem Cell Research & Therapy (2 papers)Frontiers in Microbiology (2 papers)OncoImmunology (2 papers)Engineering Applications of Artificial Intelligence (1 paper)IEEE Transactions on Computational Imaging (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Junfeng Wang
33 papers receiving 883 citations
Peers
Comparison fields: 5 of 97
- Immunology 283
- Cancer Research 189
- Oncology 163
- Physiology 27
- Toxicology 19
Countries citing papers authored by Junfeng Wang
This map shows the geographic impact of Junfeng Wang'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 Junfeng Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Wang more than expected).
Fields of papers citing papers by Junfeng Wang
This network shows the impact of papers produced by Junfeng Wang. 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 Junfeng Wang. The network helps show where Junfeng Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junfeng Wang, 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 | 2020 | 106 | |
| 2 | 2017 | 84 | |
| 3 | 2014 | 82 | |
| 4 | 2016 | 69 | |
| 5 | 2020 | 61 | |
| 6 | 2018 | 55 | |
| 7 | 2017 | 47 | |
| 8 | 2021 | 46 | |
| 9 | 2013 | 44 | |
| 10 | 2013 | 40 | |
| 11 | 2021 | 34 | |
| 12 | 2020 | 32 | |
| 13 | 2019 | 21 | |
| 14 | 2018 | 19 | |
| 15 | 2016 | 18 | |
| 16 | 2020 | 17 | |
| 17 | 2024 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2022 | 13 | |
| 20 | 2012 | 12 |
About Junfeng Wang
Junfeng Wang is a scholar working on Immunology, Molecular Biology, Surgery, Genetics and Epidemiology, having authored 38 papers that have together received 893 indexed citations. Recurring topics across this work include Immune cells in cancer (8 papers), Mesenchymal stem cell research (4 papers), Immune Cell Function and Interaction (4 papers), Sparse and Compressive Sensing Techniques (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Advanced MRI Techniques and Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Immunology (283 citations), Cancer Research (189 citations), Oncology (163 citations), Physiology (27 citations) and Toxicology (19 citations). Junfeng Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Daping Fan, Stephen Iwanowycz, Yuzhen Wang, Yun Jin, Fang Yu, Zhiwei Sun, Yvonne Hui, Diego Altomare, Han Jiang and Fatma Saaoud. Their work appears in journals such as Stem Cell Research & Therapy, Frontiers in Microbiology, OncoImmunology, Engineering Applications of Artificial Intelligence and IEEE Transactions on Computational Imaging.
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.