Yingjun Su
Impact in
- Oncology top 10%
- Chemokine receptors and signaling
- Cancer Cells and Metastasis
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune cells in cancer
Papers in
- Oncology 8
- Chemokine receptors and signaling 6
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- Immunotherapy and Immune Responses 3
- interferon and immune responses 2
- Co-authors
- Ann Richmond (8 shared papers)Ricardo M. Richardson (2 shared papers)Sandeep K. Raghuwanshi (2 shared papers)Yingchun Yu (3 shared papers)Vandana Singh (1 shared paper)Tammy Sobolik (4 shared papers)Sam Wells (3 shared papers)Lillian B. Nanney (1 shared paper)
- Journals
- Annals of Plastic Surgery (5 papers)The Journal of Immunology (2 papers)Cancer Research (2 papers)EMBO Molecular Medicine (1 paper)International Wound Journal (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yingjun Su
20 papers receiving 951 citations
Peers
Comparison fields: 5 of 91
- Oncology 376
- Immunology 230
- Rehabilitation 64
- Cancer Research 103
- Dermatology 58
Countries citing papers authored by Yingjun Su
This map shows the geographic impact of Yingjun Su'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 Yingjun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingjun Su more than expected).
Fields of papers citing papers by Yingjun Su
This network shows the impact of papers produced by Yingjun Su. 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 Yingjun Su. The network helps show where Yingjun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingjun Su, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 360 | |
| 2 | 2012 | 126 | |
| 3 | 2012 | 84 | |
| 4 | 2007 | 82 | |
| 5 | 2005 | 78 | |
| 6 | 2014 | 76 | |
| 7 | 2018 | 57 | |
| 8 | 2014 | 32 | |
| 9 | 2012 | 30 | |
| 10 | 2022 | 13 | |
| 11 | 2013 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2017 | 4 | |
| 14 | 2020 | 3 | |
| 15 | [Effects of myrrh extract on proliferation and collagen mRNA expression of human fibroblasts in vitro]. | 2012 | 3 |
| 16 | 2008 | 1 | |
| 17 | 2011 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2014 | 1 | |
| 20 | 2013 | 1 |
About Yingjun Su
Yingjun Su is a scholar working on Oncology, Immunology, Dermatology, Molecular Biology and Genetics, having authored 21 papers that have together received 971 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (6 papers), Dermatologic Treatments and Research (4 papers), Wound Healing and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Mesenchymal stem cell research (3 papers), interferon and immune responses (2 papers), Skin and Cellular Biology Research (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Oncology (376 citations), Immunology (230 citations), Rehabilitation (64 citations), Cancer Research (103 citations) and Dermatology (58 citations). Yingjun Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ann Richmond, Ricardo M. Richardson, Sandeep K. Raghuwanshi, Yingchun Yu, Vandana Singh, Tammy Sobolik, Sam Wells, Lillian B. Nanney, Rebecca S. Cook and Gregory D. Ayers. Their work appears in journals such as Annals of Plastic Surgery, The Journal of Immunology, Cancer Research, EMBO Molecular Medicine and International Wound Journal.
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.