Guanjun Cheng
Impact in
- Immunology top 0.5%
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Inflammatory Biomarkers in Disease Prognosis
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 8
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
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- Cancer Research and Treatments 5
- Co-authors
- Steven Μ. AlbeldaVeena KapoorJing SunZvi G. FridlenderG. Scott WorthenLeona LingSamuel KimSunil Singhal
- Journals
- Molecular Therapy (3 papers)Oncogene (3 papers)Cancer Research (3 papers)Journal of Molecular Neuroscience (2 papers)American Journal of Respiratory Cell and Molecular Biology (2 papers)
- Partner nations
- United StatesIsraelNew Zealand
In The Last Decade
Guanjun Cheng
32 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Immunology 2.7k
- Oncology 1.9k
- Cancer Research 414
- Biotechnology 222
- Neurology 195
Countries citing papers authored by Guanjun Cheng
This map shows the geographic impact of Guanjun Cheng'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 Guanjun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guanjun Cheng more than expected).
Fields of papers citing papers by Guanjun Cheng
This network shows the impact of papers produced by Guanjun Cheng. 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 Guanjun Cheng. The network helps show where Guanjun Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guanjun Cheng, 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 | 2018 | 18 | |
| 2 | 2015 | 56 | |
| 3 | 2014 | 8 | |
| 4 | 2012 | 27 | |
| 5 | 2012 | 241 | |
| 6 | 2011 | 72 | |
| 7 | 2011 | 14 | |
| 8 | 2010 | 20 | |
| 9 | 2010 | 124 | |
| 10 | 2010 | 38 | |
| 11 | 2010 | 101 | |
| 12 | 2009 | 151 | |
| 13 | 2008 | 71 | |
| 14 | 2007 | 54 | |
| 15 | 2004 | 32 | |
| 16 | 2002 | 69 | |
| 17 | 2002 | 43 | |
| 18 | 2002 | 68 | |
| 19 | 2001 | 19 | |
| 20 | 2000 | 63 |
About Guanjun Cheng
Guanjun Cheng is a scholar working on Immunology, Biotechnology, Oncology, Toxicology and Virology, having authored 32 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), Cancer Research and Treatments (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immune cells in cancer (5 papers), Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (4 papers), Cell death mechanisms and regulation (4 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers). The work is most often cited by research in Immunology (2.7k citations), Oncology (1.9k citations), Cancer Research (414 citations), Biotechnology (222 citations) and Neurology (195 citations). Guanjun Cheng has collaborated with scholars based in United States, Israel and New Zealand. Frequent co-authors include Steven Μ. Albelda, Veena Kapoor, Jing Sun, Zvi G. Fridlender, G. Scott Worthen, Leona Ling, Samuel Kim, Sunil Singhal, Daohong Zhou and Mark P. Mattson. Their work appears in journals such as Molecular Therapy, Oncogene, Cancer Research, Journal of Molecular Neuroscience and American Journal of Respiratory Cell and Molecular Biology.
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.