Ken Teter
Impact in
- Endocrinology top 1%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Escherichia coli research studies 13
- Vibrio bacteria research studies 10
- Cell Biology 26
- Endoplasmic Reticulum Stress and Disease 16
- Cellular transport and secretion 13
- Co-authors
- Randall K. Holmes (10 shared papers)Michael Taylor (26 shared papers)Suren A. Tatulian (27 shared papers)Shane Massey (8 shared papers)Michael G. Jobling (6 shared papers)Beatriz Quiñones (7 shared papers)Fernando Navarro‐García (7 shared papers)Supriyo Ray (7 shared papers)
- Journals
- Infection and Immunity (11 papers)Journal of Biological Chemistry (8 papers)Biochemistry (5 papers)Toxins (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesMexicoNorway
In The Last Decade
Ken Teter
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Endocrinology 419
- Cell Biology 397
- Immunology 382
- Microbiology 110
- Molecular Biology 769
Countries citing papers authored by Ken Teter
This map shows the geographic impact of Ken Teter'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 Ken Teter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Teter more than expected).
Fields of papers citing papers by Ken Teter
This network shows the impact of papers produced by Ken Teter. 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 Ken Teter. The network helps show where Ken Teter may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken Teter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 195 | |
| 2 | 2005 | 90 | |
| 3 | 2004 | 75 | |
| 4 | 2002 | 72 | |
| 5 | 1998 | 69 | |
| 6 | 2009 | 68 | |
| 7 | 2007 | 64 | |
| 8 | 2010 | 64 | |
| 9 | 2011 | 52 | |
| 10 | 2002 | 45 | |
| 11 | 2009 | 42 | |
| 12 | 2003 | 41 | |
| 13 | 2006 | 40 | |
| 14 | 2008 | 35 | |
| 15 | 2007 | 33 | |
| 16 | 2015 | 33 | |
| 17 | 2006 | 32 | |
| 18 | 2014 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2010 | 29 |
About Ken Teter
Ken Teter is a scholar working on Endocrinology, Cell Biology, Immunology, Molecular Biology and Microbiology, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heat shock proteins research (25 papers), Toxin Mechanisms and Immunotoxins (22 papers), Endoplasmic Reticulum Stress and Disease (16 papers), Cellular transport and secretion (13 papers), Escherichia coli research studies (13 papers), Vibrio bacteria research studies (10 papers), Protein Structure and Dynamics (7 papers) and Bacterial Infections and Vaccines (5 papers). The work is most often cited by research in Endocrinology (419 citations), Cell Biology (397 citations), Immunology (382 citations), Microbiology (110 citations) and Molecular Biology (769 citations). Ken Teter has collaborated with scholars based in United States, Mexico and Norway. Frequent co-authors include Randall K. Holmes, Michael Taylor, Suren A. Tatulian, Shane Massey, Michael G. Jobling, Beatriz Quiñones, Fernando Navarro‐García, Supriyo Ray, Abhay Hariram Pande and Patrick Cherubin. Their work appears in journals such as Infection and Immunity, Journal of Biological Chemistry, Biochemistry, Toxins and PLoS ONE.
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.