Wayne D. Mercer
Impact in
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- HIV Research and Treatment
Papers in
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- Protein purification and stability 1
- Glycosylation and Glycoproteins Research 1
- Genetics 3
- Estrogen and related hormone effects 3
- Co-authors
- William McGuire (3 shared papers)G C Chamness (1 shared paper)T S Croxson (1 shared paper)David M. Novick (1 shared paper)V. S. Ghali (1 shared paper)Nicholas Chiorazzi (1 shared paper)M J Kreek (1 shared paper)John F. Thompson (1 shared paper)
- Journals
- Experimental Biology and Medicine (1 paper)Journal of Histochemistry & Cytochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)The American Journal of Medicine (1 paper)Cancer (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Wayne D. Mercer
8 papers receiving 333 citations
Peers
Comparison fields: 5 of 73
- Virology 28
- Biological Psychiatry 11
- Genetics 121
- Cellular and Molecular Neuroscience 54
- Oncology 70
Countries citing papers authored by Wayne D. Mercer
This map shows the geographic impact of Wayne D. Mercer'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 D. Mercer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne D. Mercer more than expected).
Fields of papers citing papers by Wayne D. Mercer
This network shows the impact of papers produced by Wayne D. Mercer. 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 D. Mercer. The network helps show where Wayne D. Mercer may publish in the future.
Co-authors
The 17 scholars most cited alongside Wayne D. Mercer, 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 | 1989 | 140 | |
| 2 | 1980 | 121 | |
| 3 | 1980 | 37 | |
| 4 | 1996 | 29 | |
| 5 | Failure of estradiol immunofluorescence in MCF-7 breast cancer cells to detect estrogen receptors. | 1981 | 24 |
| 6 | 1986 | 14 | |
| 7 | 1981 | 5 | |
| 8 | 1976 | 1 |
About Wayne D. Mercer
Wayne D. Mercer is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Pharmacology, having authored 8 papers that have together received 371 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Protein purification and stability (1 paper), Glycosylation and Glycoproteins Research (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), T-cell and B-cell Immunology (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Virology (28 citations), Biological Psychiatry (11 citations), Genetics (121 citations), Cellular and Molecular Neuroscience (54 citations) and Oncology (70 citations). Wayne D. Mercer has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include William McGuire, G C Chamness, T S Croxson, David M. Novick, V. S. Ghali, Nicholas Chiorazzi, M J Kreek, John F. Thompson, Martin A. Collins and Perry O. Teague. Their work appears in journals such as Experimental Biology and Medicine, Journal of Histochemistry & Cytochemistry, Biochemical and Biophysical Research Communications, The American Journal of Medicine and Cancer.
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.