Glenn Deng
Impact in
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 2
- Molecular Biology Techniques and Applications 2
- Angiogenesis and VEGF in Cancer 1
- Epigenetics and DNA Methylation 1
- Oncology 3
- Cancer Cells and Metastasis 2
- Co-authors
- Ping Hu (1 shared paper)Wenhua Zhang (1 shared paper)Michael Herrler (3 shared papers)Anja Müller (1 shared paper)Elizabeth R. Oldham (1 shared paper)Marie‐Caroline Dieu‐Nosjean (1 shared paper)Jean‐Jacques Pin (1 shared paper)Albert Zlotnik (1 shared paper)
- Journals
- Prenatal Diagnosis (2 papers)Breast Cancer Research (2 papers)BioTechniques (1 paper)American Journal of Physiology-Cell Physiology (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- United StatesChinaHungary
In The Last Decade
Glenn Deng
10 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Immunology 384
- Cancer Research 220
- Oncology 386
- Dermatology 113
- Molecular Biology 378
Countries citing papers authored by Glenn Deng
This map shows the geographic impact of Glenn Deng'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 Glenn Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glenn Deng more than expected).
Fields of papers citing papers by Glenn Deng
This network shows the impact of papers produced by Glenn Deng. 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 Glenn Deng. The network helps show where Glenn Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Glenn Deng, 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 | 2000 | 448 | |
| 2 | 2016 | 254 | |
| 3 | 2008 | 145 | |
| 4 | 2004 | 101 | |
| 5 | 2014 | 92 | |
| 6 | 2014 | 61 | |
| 7 | 2004 | 60 | |
| 8 | 2000 | 18 | |
| 9 | 2018 | 11 | |
| 10 | 2000 | 2 | |
| 11 | 2024 | 0 |
About Glenn Deng
Glenn Deng is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Genetic Syndromes and Imprinting (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Cells and Metastasis (2 papers), Molecular Biology Techniques and Applications (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Immunology (384 citations), Cancer Research (220 citations), Oncology (386 citations), Dermatology (113 citations) and Molecular Biology (378 citations). Glenn Deng has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Ping Hu, Wenhua Zhang, Michael Herrler, Anja Müller, Elizabeth R. Oldham, Marie‐Caroline Dieu‐Nosjean, Jean‐Jacques Pin, Albert Zlotnik, Christophe Caux and Serge Lebecque. Their work appears in journals such as Prenatal Diagnosis, Breast Cancer Research, BioTechniques, American Journal of Physiology-Cell Physiology and Frontiers in Cell and Developmental 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.