Chad E. Harris
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 6
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 3
- Immunology 10
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 5
- Co-authors
- David A. Williams (25 shared papers)Marie–Dominique Filippi (5 shared papers)Yi Gu (3 shared papers)Yi Zheng (7 shared papers)José A. Cancelas (3 shared papers)Simon J. Atkinson (3 shared papers)Andrew W. Lee (1 shared paper)David J. Kwiatkowski (1 shared paper)
- Journals
- Blood (12 papers)Small GTPases (2 papers)The Journal of Immunology (2 papers)Molecular Therapy (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Chad E. Harris
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 85
- Immunology and Allergy 189
- Hematology 315
- Immunology 539
- Cell Biology 250
- Genetics 153
Countries citing papers authored by Chad E. Harris
This map shows the geographic impact of Chad E. Harris'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. Harris 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. Harris more than expected).
Fields of papers citing papers by Chad E. Harris
This network shows the impact of papers produced by Chad E. Harris. 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. Harris. The network helps show where Chad E. Harris may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad E. Harris, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 417 | |
| 2 | 2015 | 120 | |
| 3 | 2007 | 116 | |
| 4 | 2004 | 113 | |
| 5 | 2012 | 110 | |
| 6 | 2012 | 98 | |
| 7 | 2001 | 77 | |
| 8 | 2006 | 60 | |
| 9 | 2011 | 53 | |
| 10 | 2005 | 49 | |
| 11 | 2014 | 36 | |
| 12 | 2013 | 27 | |
| 13 | 2011 | 27 | |
| 14 | 2016 | 24 | |
| 15 | 2012 | 21 | |
| 16 | 2008 | 20 | |
| 17 | 2014 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2016 | 12 | |
| 20 | 2008 | 8 |
About Chad E. Harris
Chad E. Harris is a scholar working on Molecular Biology, Immunology, Hematology, Genetics and Immunology and Allergy, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Cell Adhesion Molecules Research (5 papers), Acute Myeloid Leukemia Research (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (3 papers), Virus-based gene therapy research (2 papers) and Knee injuries and reconstruction techniques (2 papers). The work is most often cited by research in Immunology and Allergy (189 citations), Hematology (315 citations), Immunology (539 citations), Cell Biology (250 citations) and Genetics (153 citations). Chad E. Harris has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David A. Williams, Marie–Dominique Filippi, Yi Gu, Yi Zheng, José A. Cancelas, Simon J. Atkinson, Andrew W. Lee, David J. Kwiatkowski, Aparna Jasti and Rethinasamy Prabhakar. Their work appears in journals such as Blood, Small GTPases, The Journal of Immunology, Molecular Therapy and Cancer Research.
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.