Kenneth E. Moon
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Enzyme function and inhibition 2
- Polyamine Metabolism and Applications 2
-
- Amino Acid Enzymes and Metabolism 5
- Co-authors
- Emil L. Smith (4 shared papers)Dennis Piszkiewicz (2 shared papers)Tony E. Hugli (1 shared paper)Jeff P. Gorski (1 shared paper)Mark Eisenberg (3 shared papers)Lambro A. Johnson (3 shared papers)Philip J. Schofield (2 shared papers)John C. Wootton (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (1 paper)Analytical Biochemistry (1 paper)Toxicon (1 paper)
- Partner nations
- AustraliaUnited StatesJapan
In The Last Decade
Kenneth E. Moon
13 papers receiving 397 citations
Peers
Comparison fields: 5 of 79
- Biochemistry 162
- Clinical Biochemistry 43
- Spectroscopy 69
- Immunology 71
- Molecular Biology 219
Countries citing papers authored by Kenneth E. Moon
This map shows the geographic impact of Kenneth E. Moon'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 Kenneth E. Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth E. Moon more than expected).
Fields of papers citing papers by Kenneth E. Moon
This network shows the impact of papers produced by Kenneth E. Moon. 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 Kenneth E. Moon. The network helps show where Kenneth E. Moon may publish in the future.
Co-authors
The 13 scholars most cited alongside Kenneth E. Moon, 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 | 1972 | 91 | |
| 2 | 1973 | 85 | |
| 3 | 1981 | 68 | |
| 4 | 1975 | 68 | |
| 5 | 1974 | 41 | |
| 6 | 1973 | 27 | |
| 7 | 1984 | 17 | |
| 8 | 1968 | 12 | |
| 9 | 1986 | 11 | |
| 10 | 1993 | 10 | |
| 11 | 1988 | 10 | |
| 12 | 1968 | 5 | |
| 13 | 1984 | 3 |
About Kenneth E. Moon
Kenneth E. Moon is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Immunology and Small Animals, having authored 13 papers that have together received 448 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Enzyme Structure and Function (4 papers), Helminth infection and control (2 papers), Mast cells and histamine (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Enzyme function and inhibition (2 papers), Polyamine Metabolism and Applications (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Biochemistry (162 citations), Clinical Biochemistry (43 citations), Spectroscopy (69 citations), Immunology (71 citations) and Molecular Biology (219 citations). Kenneth E. Moon has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Emil L. Smith, Dennis Piszkiewicz, Tony E. Hugli, Jeff P. Gorski, Mark Eisenberg, Lambro A. Johnson, Philip J. Schofield, John C. Wootton, Anthony A. Holder and Geoffrey K. Chambers. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, Analytical Biochemistry and Toxicon.
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.