Karla J. Matteson
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Cognitive Neuroscience top 10%
- Pharmacology top 2%
- Co-authors
- Bon‐chu ChungWalter L. MillerRaimo VoutilainenT. MohandasW L MillerJuha S. TapanainenAndrew W. ZimmermanLi-Ching Lee
- Topics
- Sexual Differentiation and Disorders (6 papers)Metabolism and Genetic Disorders (4 papers)Pharmacogenetics and Drug Metabolism (4 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Clinical Endocrinology & MetabolismPEDIATRICS
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Karla J. Matteson
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 759
- Endocrinology, Diabetes and Metabolism 540
- Genetics 521
- Cognitive Neuroscience 201
- Pharmacology 173
Countries citing papers authored by Karla J. Matteson
This map shows the geographic impact of Karla J. Matteson'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 Karla J. Matteson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karla J. Matteson more than expected).
Fields of papers citing papers by Karla J. Matteson
This network shows the impact of papers produced by Karla J. Matteson. 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 Karla J. Matteson. The network helps show where Karla J. Matteson may publish in the future.
Co-authorship network of co-authors of Karla J. Matteson
This figure shows the co-authorship network connecting the top 25 collaborators of Karla J. Matteson. A scholar is included among the top collaborators of Karla J. Matteson 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 Karla J. Matteson. Karla J. Matteson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 32 | |
| 3 | 16 | |
| 4 | 144 | |
| 5 | 83 | |
| 6 | 29 | |
| 7 | 20 | |
| 8 | 26 | |
| 9 | 30 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 15 | |
| 13 | 39 | |
| 14 | 2 | |
| 15 | 94 | |
| 16 | 129 | |
| 17 | 222 | |
| 18 | 44 | |
| 19 | 2 | |
| 20 | 17 |
About Karla J. Matteson
Karla J. Matteson is a scholar working on Clinical Biochemistry, Pharmacology and Genetics, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (6 papers), Metabolism and Genetic Disorders (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (540 citations), Clinical Biochemistry (141 citations) and Pharmacology (173 citations). Karla J. Matteson has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Bon‐chu Chung, Walter L. Miller, Raimo Voutilainen, T. Mohandas, W L Miller, Juha S. Tapanainen, Andrew W. Zimmerman, Li-Ching Lee, J Picado-Leonard and Susan L. Connors. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.
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.