Janet V. Passonneau
- Molecular Biology top 1%
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Cell Biology top 0.5%
- Clinical Biochemistry top 0.1%
- Co-authors
- Oliver H. LowryDemoy W. SchulzW. David LustFrancis X. HasselbergerO. H. LowryNelson D. GoldbergRichard L. VeechJoan P. Schwartz
- Topics
- Neuroscience and Neuropharmacology Research (24 papers)Metabolism and Genetic Disorders (17 papers)Cancer, Hypoxia, and Metabolism (12 papers)
- Partner nations
- United StatesJapanChile
In The Last Decade
Janet V. Passonneau
107 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 5.3k
- Physiology 2.8k
- Cellular and Molecular Neuroscience 2.7k
- Cell Biology 1.6k
- Clinical Biochemistry 1.3k
Countries citing papers authored by Janet V. Passonneau
This map shows the geographic impact of Janet V. Passonneau'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 Janet V. Passonneau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet V. Passonneau more than expected).
Fields of papers citing papers by Janet V. Passonneau
This network shows the impact of papers produced by Janet V. Passonneau. 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 Janet V. Passonneau. The network helps show where Janet V. Passonneau may publish in the future.
Co-authorship network of co-authors of Janet V. Passonneau
This figure shows the co-authorship network connecting the top 25 collaborators of Janet V. Passonneau. A scholar is included among the top collaborators of Janet V. Passonneau 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 Janet V. Passonneau. Janet V. Passonneau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Enzymatic analysis; a practical guidebreakdown → | 475 |
| 2 | 17 | |
| 3 | 6 | |
| 4 | 12 | |
| 5 | 45 | |
| 6 | 13 | |
| 7 | 86 | |
| 8 | 4 | |
| 9 | 42 | |
| 10 | 21 | |
| 11 | 18 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 98 | |
| 15 | 128 | |
| 16 | 104 | |
| 17 | 88 | |
| 18 | 148 | |
| 19 | 243 | |
| 20 | 68 |
About Janet V. Passonneau
Janet V. Passonneau is a scholar working on Clinical Biochemistry, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 107 papers that have together received 11.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Metabolism and Genetic Disorders (17 papers) and Cancer, Hypoxia, and Metabolism (12 papers). The work is most often cited by research in Clinical Biochemistry (1.3k citations), Cellular and Molecular Neuroscience (2.7k citations) and Biochemistry (949 citations). Janet V. Passonneau has collaborated with scholars based in United States, Japan and Chile. Frequent co-authors include Oliver H. Lowry, Demoy W. Schulz, W. David Lust, Francis X. Hasselberger, O. H. Lowry, Nelson D. Goldberg, Richard L. Veech, Joan P. Schwartz, P. D. Gatfield and Hiroshi Watanabe. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.