Sue A. Olson
Impact in
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- Amino Acid Enzymes and Metabolism
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- Metabolism, Diabetes, and Cancer
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
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- Metabolism, Diabetes, and Cancer 2
- Genomics and Phylogenetic Studies 1
- Machine Learning in Bioinformatics 1
- Protein Structure and Dynamics 1
- Oncology 2
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Michael J. Weber (2 shared papers)Laura K. Shawver (2 shared papers)M. K. White (1 shared paper)Joan C. Gorga (1 shared paper)Gustav E. Lienhard (1 shared paper)Martyn K. White (1 shared paper)Michael Weber (1 shared paper)Stanley Maloy (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Briefings in Bioinformatics (1 paper)Humana Press eBooks (4 papers)
- Partner nations
- United States
In The Last Decade
Sue A. Olson
9 papers receiving 309 citations
Peers
Comparison fields: 5 of 65
- Biochemistry 25
- Molecular Biology 193
- Endocrinology 12
- Cancer Research 28
- Cell Biology 26
Countries citing papers authored by Sue A. Olson
This map shows the geographic impact of Sue A. Olson'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 Sue A. Olson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue A. Olson more than expected).
Fields of papers citing papers by Sue A. Olson
This network shows the impact of papers produced by Sue A. Olson. 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 Sue A. Olson. The network helps show where Sue A. Olson may publish in the future.
Co-authors
The 8 scholars most cited alongside Sue A. Olson, 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 | 2002 | 141 | |
| 2 | 1982 | 64 | |
| 3 | 1987 | 58 | |
| 4 | 1994 | 33 | |
| 5 | 1987 | 13 | |
| 6 | 1994 | 5 | |
| 7 | 1994 | 2 | |
| 8 | 1994 | 1 | |
| 9 | Educational Software for the Analysis of DNA and Protein Sequences. | 1989 | 1 |
About Sue A. Olson
Sue A. Olson is a scholar working on Molecular Biology, Oncology, Spectroscopy, Cancer Research and Surgery, having authored 9 papers that have together received 318 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Genomics and Phylogenetic Studies (1 paper), Machine Learning in Bioinformatics (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Biochemistry (25 citations), Molecular Biology (193 citations), Endocrinology (12 citations), Cancer Research (28 citations) and Cell Biology (26 citations). Sue A. Olson has collaborated with scholars based in United States. Frequent co-authors include Michael J. Weber, Laura K. Shawver, M. K. White, Joan C. Gorga, Gustav E. Lienhard, Martyn K. White, Michael Weber and Stanley Maloy. Their work appears in journals such as Molecular and Cellular Biology, Biochemical and Biophysical Research Communications, Briefings in Bioinformatics and Humana Press eBooks.
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.