M.T. Abbott
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
-
- Biochemical and Molecular Research
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
- Polyamine Metabolism and Applications
Papers in
-
- Biochemical and Molecular Research 5
- Epigenetics and DNA Methylation 2
- Microbial Metabolic Engineering and Bioproduction 2
-
- Amino Acid Enzymes and Metabolism 8
- Co-authors
- Chin-An Hsu (5 shared papers)Thomas S. Parker (2 shared papers)Herbert H. Samuels (1 shared paper)Mutsumi Watanabe (1 shared paper)Robert J. Kadner (1 shared paper)Robert C. Warner (1 shared paper)Robert M. Fink (1 shared paper)Joseph S. Krakow (1 shared paper)
- Journals
- Journal of Biological Chemistry (7 papers)Journal of Bacteriology (3 papers)Clinical Chemistry (1 paper)Biochemistry (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- United States
In The Last Decade
M.T. Abbott
20 papers receiving 364 citations
Peers
Comparison fields: 5 of 64
- Biochemistry 93
- Molecular Biology 340
- Cancer Research 74
- Inorganic Chemistry 66
- Biotechnology 29
Countries citing papers authored by M.T. Abbott
This map shows the geographic impact of M.T. Abbott'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 M.T. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.T. Abbott more than expected).
Fields of papers citing papers by M.T. Abbott
This network shows the impact of papers produced by M.T. Abbott. 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 M.T. Abbott. The network helps show where M.T. Abbott may publish in the future.
Co-authors
The 16 scholars most cited alongside M.T. Abbott, 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 | 1973 | 48 | |
| 2 | 1967 | 39 | |
| 3 | 1963 | 33 | |
| 4 | 1970 | 30 | |
| 5 | 1968 | 27 | |
| 6 | 1968 | 27 | |
| 7 | 1975 | 27 | |
| 8 | 1978 | 25 | |
| 9 | 1970 | 25 | |
| 10 | 1964 | 24 | |
| 11 | 1971 | 22 | |
| 12 | 1972 | 20 | |
| 13 | 1981 | 20 | |
| 14 | 1983 | 19 | |
| 15 | 1987 | 17 | |
| 16 | 1976 | 16 | |
| 17 | 1972 | 9 | |
| 18 | 1979 | 9 | |
| 19 | 1979 | 4 | |
| 20 | 1981 | 1 |
About M.T. Abbott
M.T. Abbott is a scholar working on Molecular Biology, Biochemistry, Cancer Research, Materials Chemistry and Biotechnology, having authored 20 papers that have together received 442 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Biochemical and Molecular Research (5 papers), Enzyme Structure and Function (4 papers), Cancer Research and Treatments (3 papers), Metabolism and Genetic Disorders (2 papers), Epigenetics and DNA Methylation (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Biochemistry (93 citations), Molecular Biology (340 citations), Cancer Research (74 citations), Inorganic Chemistry (66 citations) and Biotechnology (29 citations). M.T. Abbott has collaborated with scholars based in United States. Frequent co-authors include Chin-An Hsu, Thomas S. Parker, Herbert H. Samuels, Mutsumi Watanabe, Robert J. Kadner, Robert C. Warner, Robert M. Fink, Joseph S. Krakow, B J Warn-Cramer and Robert S. Slaughter. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Clinical Chemistry, Biochemistry and Archives of Biochemistry and Biophysics.
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.