Chad E. Green
Impact in
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
- Immunology top 10%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
Papers in
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- Cell Adhesion Molecules Research 8
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- Platelet Disorders and Treatments 3
- Co-authors
- Scott Irwin Simon (8 shared papers)Donald E. Staunton (3 shared papers)Aaron F.H. Lum (2 shared papers)Ulrich Y. Schaff (3 shared papers)David Pearson (2 shared papers)Melissa R. Sarantos (2 shared papers)Raymond T. Camphausen (1 shared paper)Hua Chen (1 shared paper)
- Journals
- American Journal of Physiology-Cell Physiology (2 papers)Canadian Journal of Microbiology (1 paper)Journal of Biological Chemistry (1 paper)Mathematical Biosciences (1 paper)Immunity (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chad E. Green
10 papers receiving 679 citations
Peers
Comparison fields: 5 of 94
- Immunology and Allergy 409
- Immunology 267
- Hematology 104
- Cell Biology 145
- Sensory Systems 19
Countries citing papers authored by Chad E. Green
This map shows the geographic impact of Chad E. Green'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 Chad E. Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad E. Green more than expected).
Fields of papers citing papers by Chad E. Green
This network shows the impact of papers produced by Chad E. Green. 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 Chad E. Green. The network helps show where Chad E. Green may publish in the future.
Co-authors
The 19 scholars most cited alongside Chad E. Green, 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 | 2005 | 236 | |
| 2 | 2006 | 109 | |
| 3 | 2004 | 105 | |
| 4 | 2002 | 102 | |
| 5 | 2005 | 70 | |
| 6 | 2003 | 25 | |
| 7 | 2005 | 21 | |
| 8 | 2005 | 20 | |
| 9 | 2000 | 8 | |
| 10 | Enhanced Biodegradation of Hydrocarbon Contaminants Using Photocatalytic Pretreatment | 2001 | 1 |
About Chad E. Green
Chad E. Green is a scholar working on Immunology and Allergy, Hematology, Cancer Research, Immunology and Cell Biology, having authored 10 papers that have together received 697 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (8 papers), Protease and Inhibitor Mechanisms (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Platelet Disorders and Treatments (3 papers), Immune Response and Inflammation (2 papers), Chemical Analysis and Environmental Impact (1 paper), Advanced oxidation water treatment (1 paper) and Water Treatment and Disinfection (1 paper). The work is most often cited by research in Immunology and Allergy (409 citations), Immunology (267 citations), Hematology (104 citations), Cell Biology (145 citations) and Sensory Systems (19 citations). Chad E. Green has collaborated with scholars based in United States and Canada. Frequent co-authors include Scott Irwin Simon, Donald E. Staunton, Aaron F.H. Lum, Ulrich Y. Schaff, David Pearson, Melissa R. Sarantos, Raymond T. Camphausen, Hua Chen, Yongmei Hu and Diane W. Wara. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Canadian Journal of Microbiology, Journal of Biological Chemistry, Mathematical Biosciences and Immunity.
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.