Chad E. Green

788 citations
9 papers · 647 · h-index 8

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Response and Inflammation

Papers in

    • Cell Adhesion Molecules Research 7
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
    • Immune Response and Inflammation 2

Chad E. Green

9 papers receiving 636 citations

Peers

Chad E. Green
Comparison fields: 5 of 90
  • Immunology and Allergy 383
  • Immunology 253
  • Hematology 96
  • Cell Biology 135
  • Sensory Systems 17
Replace Paul M. Sincock with:
Paul M. Sincock Australia
Jian-Jiang Hao United States
Tatsuya Kinoshita Japan
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Kristina Somersalo Finland
Csilla A. Fenczik United States
Beatrice Brunkhorst United States
Felipe Vences‐Catalán United States
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Chad E. Green relative to Paul M. Sincock Australia Paul M. Sincock's profile →
Citations per field
00.5×2.8×
Paul M. Sincock · 1×
Citations per year

Countries citing papers authored by Chad E. Green

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 17 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.

Border = papers with Chad E. Green Line = papers co-authored together Chad E. Green links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2005224
2 2006103
3 2002100
4 200499
5 200569
6 200324
7 200520
8 20007
9
Enhanced Biodegradation of Hydrocarbon Contaminants Using Photocatalytic Pretreatment
20011

About Chad E. Green

Chad E. Green is a scholar working on Immunology and Allergy, Immunology, Cancer Research, Hematology and Cell Biology, having authored 9 papers that have together received 647 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Protease and Inhibitor Mechanisms (3 papers), Immune Response and Inflammation (2 papers), Platelet Disorders and Treatments (2 papers), TiO2 Photocatalysis and Solar Cells (1 paper), S100 Proteins and Annexins (1 paper) and Water Quality Monitoring and Analysis (1 paper). The work is most often cited by research in Immunology and Allergy (383 citations), Immunology (253 citations), Hematology (96 citations), Cell Biology (135 citations) and Sensory Systems (17 citations). Chad E. Green has collaborated with scholars based in United States and Canada. Frequent co-authors include Scott I. Simon, Donald E. Staunton, Aaron F.H. Lum, Ulrich Y. Schaff, David Pearson, Melissa R. Sarantos, Raymond T. Camphausen, Hong Zhang, Clifford A. Lowell and Yongmei Hu. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Journal of Biological Chemistry, Blood, The Journal of Immunology and Annual Review of Biomedical Engineering.

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.

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