Jeffrey E. Flatgaard
Impact in
- Biotechnology top 5%
- Enzyme Production and Characterization
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 2
- Biochemical and Molecular Research 2
- Glutathione Transferases and Polymorphisms 2
-
- Enzyme Structure and Function 5
- Co-authors
- Karin E. Bauer (2 shared papers)Vaughan Wittman (2 shared papers)G E Cole (2 shared papers)Vicki L. Schweickart (2 shared papers)Jack H. Nunberg (2 shared papers)James H. Meade (2 shared papers)Peter C. McCabe (2 shared papers)Rony Tal (2 shared papers)
- Journals
- Molecular and Cellular Biology (2 papers)Journal of Biological Chemistry (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Medicinal Chemistry (1 paper)Cancer Chemotherapy and Pharmacology (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Jeffrey E. Flatgaard
11 papers receiving 412 citations
Peers
Comparison fields: 5 of 53
- Biotechnology 140
- Biochemistry 77
- Clinical Biochemistry 43
- Molecular Biology 338
- Pharmacology 28
Countries citing papers authored by Jeffrey E. Flatgaard
This map shows the geographic impact of Jeffrey E. Flatgaard'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 Jeffrey E. Flatgaard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey E. Flatgaard more than expected).
Fields of papers citing papers by Jeffrey E. Flatgaard
This network shows the impact of papers produced by Jeffrey E. Flatgaard. 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 Jeffrey E. Flatgaard. The network helps show where Jeffrey E. Flatgaard may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey E. Flatgaard, 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 | 1984 | 152 | |
| 2 | 1994 | 83 | |
| 3 | 1993 | 57 | |
| 4 | 1970 | 45 | |
| 5 | 1984 | 33 | |
| 6 | 1979 | 29 | |
| 7 | 1971 | 24 | |
| 8 | 1975 | 20 | |
| 9 | 1972 | 10 | |
| 10 | 1984 | 8 | |
| 11 | 1991 | 1 |
About Jeffrey E. Flatgaard
Jeffrey E. Flatgaard is a scholar working on Molecular Biology, Materials Chemistry, Biochemistry, Clinical Biochemistry and Cell Biology, having authored 11 papers that have together received 462 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Amino Acid Enzymes and Metabolism (2 papers), Metabolism and Genetic Disorders (2 papers), Hemoglobin structure and function (2 papers), Enzyme Production and Characterization (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Biochemical and Molecular Research (2 papers) and Glutathione Transferases and Polymorphisms (2 papers). The work is most often cited by research in Biotechnology (140 citations), Biochemistry (77 citations), Clinical Biochemistry (43 citations), Molecular Biology (338 citations) and Pharmacology (28 citations). Jeffrey E. Flatgaard has collaborated with scholars based in United States and Germany. Frequent co-authors include Karin E. Bauer, Vaughan Wittman, G E Cole, Vicki L. Schweickart, Jack H. Nunberg, James H. Meade, Peter C. McCabe, Rony Tal, Lawrence M. Kauvar and Michael A. Innis. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Cancer Chemotherapy and Pharmacology.
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.