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
- Connexins and lens biology 1
-
- 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)Francesca Maccioni (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Toxicon (1 paper)Clinical Biochemistry (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Kenneth E. Moon
13 papers receiving 388 citations
Peers
Comparison fields: 5 of 78
- Biochemistry 160
- Clinical Biochemistry 41
- Spectroscopy 67
- Molecular Biology 214
- Immunology 59
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 14 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 | 89 | |
| 2 | 1973 | 83 | |
| 3 | 1975 | 67 | |
| 4 | 1981 | 56 | |
| 5 | 1974 | 39 | |
| 6 | 1973 | 27 | |
| 7 | 1984 | 16 | |
| 8 | 1968 | 11 | |
| 9 | 1988 | 10 | |
| 10 | 1993 | 10 | |
| 11 | 1986 | 9 | |
| 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 425 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Enzyme Structure and Function (4 papers), Mast cells and histamine (2 papers), Enzyme function and inhibition (2 papers), Helminth infection and control (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Polyamine Metabolism and Applications (2 papers) and Connexins and lens biology (1 paper). The work is most often cited by research in Biochemistry (160 citations), Clinical Biochemistry (41 citations), Spectroscopy (67 citations), Molecular Biology (214 citations) and Immunology (59 citations). Kenneth E. Moon has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Emil L. Smith, Dennis Piszkiewicz, Tony E. Hugli, Jeff P. Gorski, Mark Eisenberg, Lambro A. Johnson, Philip J. Schofield, Francesca Maccioni, Kenneth M. Blumenthal and Geoffrey K. Chambers. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Toxicon, Clinical Biochemistry and Biochemical and Biophysical Research Communications.
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.