Edwin G. Moore
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Rheumatology top 5%
- Folate and B Vitamins Research
Papers in ⓘ
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- Hemoglobin structure and function 6
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- Amino Acid Enzymes and Metabolism 3
- Co-authors
- M. T. SHIPCHANDLER (1 shared paper)Quentin Gibson (1 shared paper)Vincent Massey (3 shared papers)Sandro Ghisla (2 shared papers)J. Ruth Gallimore (4 shared papers)Julie A. Wilkins (3 shared papers)Jeffrey S. Moore (4 shared papers)Mark B. Pepys (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Journal of the American Chemical Society (3 papers)Clinical Chemistry (3 papers)Analytical and Bioanalytical Chemistry (1 paper)Bioelectrochemistry (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Edwin G. Moore
22 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Biochemistry 144
- Rheumatology 292
- Cell Biology 287
- Clinical Biochemistry 119
- Physiology 344
Countries citing papers authored by Edwin G. Moore
This map shows the geographic impact of Edwin G. 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 Edwin G. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin G. Moore more than expected).
Fields of papers citing papers by Edwin G. Moore
This network shows the impact of papers produced by Edwin G. 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 Edwin G. Moore. The network helps show where Edwin G. Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Edwin G. 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 325 | |
| 2 | 1976 | 257 | |
| 3 | 1998 | 104 | |
| 4 | 1979 | 87 | |
| 5 | 1979 | 73 | |
| 6 | 2017 | 68 | |
| 7 | 1978 | 64 | |
| 8 | Rapid automated enzyme immunoassay of serum amyloid A. | 1994 | 49 |
| 9 | 2014 | 47 | |
| 10 | 1994 | 43 | |
| 11 | 1994 | 39 | |
| 12 | 1980 | 39 | |
| 13 | 1997 | 20 | |
| 14 | 2019 | 16 | |
| 15 | 1998 | 16 | |
| 16 | 2011 | 15 | |
| 17 | 2019 | 10 | |
| 18 | 2010 | 7 | |
| 19 | 2000 | 7 | |
| 20 | 2025 | 6 |
About Edwin G. Moore
Edwin G. Moore is a scholar working on Cell Biology, Biochemistry, Biomaterials, Spectroscopy and Physiology, having authored 22 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hemoglobin structure and function (6 papers), Supramolecular Self-Assembly in Materials (4 papers), Neonatal Health and Biochemistry (4 papers), Alzheimer's disease research and treatments (3 papers), Molecular Sensors and Ion Detection (3 papers), Chemical Synthesis and Analysis (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Biochemistry (144 citations), Rheumatology (292 citations), Cell Biology (287 citations), Clinical Biochemistry (119 citations) and Physiology (344 citations). Edwin G. Moore has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include M. T. SHIPCHANDLER, Quentin Gibson, Vincent Massey, Sandro Ghisla, J. Ruth Gallimore, Julie A. Wilkins, Jeffrey S. Moore, Mark B. Pepys, Emilio Cardemil and Gunter Blankenhorn. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American Chemical Society, Clinical Chemistry, Analytical and Bioanalytical Chemistry and Bioelectrochemistry.
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.