Mary K. Teachey
- Physiology top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Co-authors
- Erik J. HenriksenStephan JacobTyson R. KinnickVitoon SaengsirisuwanMichael KreklerJohn S. KimBetsy B. DokkenOliver Hasselwander
- Topics
- Metabolism, Diabetes, and Cancer (10 papers)Adipose Tissue and Metabolism (8 papers)Biochemical Acid Research Studies (4 papers)
- Journals
- The FASEB JournalBiochemical and Biophysical Research CommunicationsJournal of Applied Physiology
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Mary K. Teachey
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Physiology 447
- Molecular Biology 425
- Endocrinology, Diabetes and Metabolism 312
- Cardiology and Cardiovascular Medicine 198
- Epidemiology 150
Countries citing papers authored by Mary K. Teachey
This map shows the geographic impact of Mary K. Teachey'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 Mary K. Teachey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary K. Teachey more than expected).
Fields of papers citing papers by Mary K. Teachey
This network shows the impact of papers produced by Mary K. Teachey. 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 Mary K. Teachey. The network helps show where Mary K. Teachey may publish in the future.
Co-authorship network of co-authors of Mary K. Teachey
This figure shows the co-authorship network connecting the top 25 collaborators of Mary K. Teachey. A scholar is included among the top collaborators of Mary K. Teachey 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 Mary K. Teachey. Mary K. Teachey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 64 | |
| 2 | 32 | |
| 3 | 1 | |
| 4 | 40 | |
| 5 | 48 | |
| 6 | 13 | |
| 7 | 104 | |
| 8 | 1 | |
| 9 | 46 | |
| 10 | 16 | |
| 11 | 25 | |
| 12 | 20 | |
| 13 | 15 | |
| 14 | 99 | |
| 15 | 61 | |
| 16 | 13 | |
| 17 | 21 | |
| 18 | 73 | |
| 19 | 90 | |
| 20 | 33 |
About Mary K. Teachey
Mary K. Teachey is a scholar working on Biochemistry, Physiology and Emergency Medicine, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (10 papers), Adipose Tissue and Metabolism (8 papers) and Biochemical Acid Research Studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (312 citations), Physiology (447 citations) and Biochemistry (85 citations). Mary K. Teachey has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Erik J. Henriksen, Stephan Jacob, Tyson R. Kinnick, Vitoon Saengsirisuwan, Michael Krekler, John S. Kim, Betsy B. Dokken, Oliver Hasselwander, Tara L. Archuleta and Andrew Lemieux. Their work appears in journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.
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.