Chad Ray
Impact in
- Immunology top 5%
- Biosimilars and Bioanalytical Methods
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in ⓘ
- Immunology 13
- Biosimilars and Bioanalytical Methods 13
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- Cell Image Analysis Techniques 2
- Co-authors
- Viswanath Devanarayan (3 shared papers)Jean W. Lee (3 shared papers)Peter J. O’Brien (3 shared papers)Scott Fountain (2 shared papers)Marie Green (1 shared paper)John A. Wagner (1 shared paper)Ira Weinryb (1 shared paper)Masood N. Khan (1 shared paper)
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (6 papers)The AAPS Journal (4 papers)Bioanalysis (2 papers)Assay and Drug Development Technologies (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Chad Ray
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 453
- Statistics and Probability 84
- Biophysics 53
- Radiology, Nuclear Medicine and Imaging 208
- Molecular Biology 558
Countries citing papers authored by Chad Ray
This map shows the geographic impact of Chad Ray'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 Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Ray more than expected).
Fields of papers citing papers by Chad Ray
This network shows the impact of papers produced by Chad Ray. 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 Ray. The network helps show where Chad Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Ray, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fit-for-Purpose Method Development and Validation for Successful Biomarker Measurement Hit paper breakdown → | 2006 | 504 |
| 2 | 2004 | 110 | |
| 3 | 2008 | 52 | |
| 4 | 2010 | 51 | |
| 5 | 2016 | 43 | |
| 6 | 2008 | 43 | |
| 7 | 2006 | 40 | |
| 8 | 2007 | 39 | |
| 9 | 2006 | 38 | |
| 10 | 2010 | 35 | |
| 11 | 2012 | 26 | |
| 12 | 2011 | 25 | |
| 13 | 1999 | 16 | |
| 14 | 2012 | 13 | |
| 15 | 2005 | 13 | |
| 16 | Immunocytochemical analysis of the stage-specific distribution of collagen in the cuticle of Meloidogyne incognita | 1996 | 12 |
| 17 | 2016 | 11 | |
| 18 | 2010 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2012 | 7 |
About Chad Ray
Chad Ray is a scholar working on Immunology, Biophysics, Radiology, Nuclear Medicine and Imaging, Statistics and Probability and Periodontics, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (13 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced Biosensing Techniques and Applications (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Clinical Laboratory Practices and Quality Control (3 papers), Cell Image Analysis Techniques (2 papers), Statistical Methods in Clinical Trials (2 papers) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Immunology (453 citations), Statistics and Probability (84 citations), Biophysics (53 citations), Radiology, Nuclear Medicine and Imaging (208 citations) and Molecular Biology (558 citations). Chad Ray has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Viswanath Devanarayan, Jean W. Lee, Peter J. O’Brien, Scott Fountain, Marie Green, John A. Wagner, Ira Weinryb, Masood N. Khan, John Allinson and Stephen Keller. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, The AAPS Journal, Bioanalysis, Assay and Drug Development Technologies and The Journal of Immunology.
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.