Wayne Moore
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunodeficiency and Autoimmune Disorders
- Biophysics top 1%
- Cell Image Analysis Techniques
Papers in
-
- Single-cell and spatial transcriptomics 13
- Gene expression and cancer classification 9
- Gene Regulatory Network Analysis 2
-
- Cell Image Analysis Techniques 6
- Co-authors
- David R. Parks (18 shared papers)Leonore A. Herzenberg (12 shared papers)Leonard A. Herzenberg (6 shared papers)Mario Roederer (6 shared papers)James W. Tung (3 shared papers)C L Sidman (2 shared papers)Paul A. Lalor (2 shared papers)Alan M. Stall (2 shared papers)
- Journals
- Cytometry Part A (7 papers)Cytometry (3 papers)Journal of Immunological Methods (2 papers)Scientific Reports (1 paper)European Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Wayne Moore
39 papers receiving 2.1k citations
Wayne Moore's Hit Papers
Peers
Comparison fields: 5 of 178
- Immunology 894
- Biophysics 216
- Molecular Biology 813
- Genetics 117
- Radiology, Nuclear Medicine and Imaging 248
Countries citing papers authored by Wayne Moore
This map shows the geographic impact of Wayne Moore'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 Wayne Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Moore more than expected).
Fields of papers citing papers by Wayne Moore
This network shows the impact of papers produced by Wayne Moore. 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 Wayne Moore. The network helps show where Wayne Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Moore, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The LY‐1B Cell Lineage Hit paper breakdown → | 1986 | 521 |
| 2 | 2006 | 353 | |
| 3 | 2000 | 218 | |
| 4 | 2006 | 171 | |
| 5 | 2001 | 146 | |
| 6 | 2004 | 117 | |
| 7 | 2001 | 86 | |
| 8 | 2012 | 75 | |
| 9 | 2016 | 59 | |
| 10 | 1986 | 55 | |
| 11 | Data analysis in flow cytometry | 1986 | 47 |
| 12 | 1981 | 46 | |
| 13 | 2004 | 40 | |
| 14 | 2009 | 40 | |
| 15 | 2001 | 38 | |
| 16 | 2008 | 29 | |
| 17 | 2012 | 25 | |
| 18 | 1983 | 18 | |
| 19 | 2014 | 17 | |
| 20 | 2011 | 16 |
About Wayne Moore
Wayne Moore is a scholar working on Molecular Biology, Biophysics, Immunology, Education and Radiology, Nuclear Medicine and Imaging, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (13 papers), Gene expression and cancer classification (9 papers), Cell Image Analysis Techniques (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Communication in Education and Healthcare (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Immunology (894 citations), Biophysics (216 citations), Molecular Biology (813 citations), Genetics (117 citations) and Radiology, Nuclear Medicine and Imaging (248 citations). Wayne Moore has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include David R. Parks, Leonore A. Herzenberg, Leonard A. Herzenberg, Mario Roederer, James W. Tung, C L Sidman, Paul A. Lalor, Alan M. Stall, Adam Treister and A. Russell Smith. Their work appears in journals such as Cytometry Part A, Cytometry, Journal of Immunological Methods, Scientific Reports and European Journal of Clinical Investigation.
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.