Flora H. Pettit
- Biochemistry top 0.05%
- Molecular Biology top 5%
- Clinical Biochemistry top 0.1%
- Physiology top 5%
- Cell Biology top 2%
- Co-authors
- Lester J. ReedTracy C. LinnDaniel M. ZieglerStephen J. YeamanJohn W. PelleyFerdinand HuchoThomas E. RocheDouglas D. Randall
- Topics
- Biochemical Acid Research Studies (21 papers)Metabolism and Genetic Disorders (14 papers)Ion Transport and Channel Regulation (7 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Flora H. Pettit
32 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Biochemistry 1.9k
- Molecular Biology 1.6k
- Clinical Biochemistry 1.3k
- Physiology 593
- Cell Biology 467
Countries citing papers authored by Flora H. Pettit
This map shows the geographic impact of Flora H. Pettit'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 Flora H. Pettit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Flora H. Pettit more than expected).
Fields of papers citing papers by Flora H. Pettit
This network shows the impact of papers produced by Flora H. Pettit. 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 Flora H. Pettit. The network helps show where Flora H. Pettit may publish in the future.
Co-authorship network of co-authors of Flora H. Pettit
This figure shows the co-authorship network connecting the top 25 collaborators of Flora H. Pettit. A scholar is included among the top collaborators of Flora H. Pettit based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Flora H. Pettit. Flora H. Pettit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | 55 | |
| 9 | 99 | |
| 10 | 89 | |
| 11 | 246 | |
| 12 | 64 | |
| 13 | 132 | |
| 14 | 252 | |
| 15 | α-KETO ACID DEHYDROGENASE COMPLEXES, X. REGULATION OF THE ACTIVITY OF THE PYRUVATE DEHYDROGENASE COMPLEX FROM BEEF KIDNEY MITOCHONDRIA BY PHOSPHORYLATION AND DEPHOSPHORYLATIONbreakdown → | 553 |
| 16 | 36 | |
| 17 | 102 | |
| 18 | 180 | |
| 19 | 26 | |
| 20 | 11 |
About Flora H. Pettit
Flora H. Pettit is a scholar working on Biochemistry, Clinical Biochemistry and Cell Biology, having authored 32 papers that have together received 3.1k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (21 papers), Metabolism and Genetic Disorders (14 papers) and Ion Transport and Channel Regulation (7 papers). The work is most often cited by research in Biochemistry (1.9k citations), Clinical Biochemistry (1.3k citations) and Cell Biology (467 citations). Flora H. Pettit has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Lester J. Reed, Tracy C. Linn, Daniel M. Ziegler, Stephen J. Yeaman, John W. Pelley, Ferdinand Hucho, Thomas E. Roche, Douglas D. Randall, W. Martin Teague and James R. Brown. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.
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.