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
- Cell Biology 33
- Endoplasmic Reticulum Stress and Disease 27
- Cellular transport and secretion 12
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- Escherichia coli research studies 23
- Vibrio bacteria research studies 11
- Co-authors
- Randall K. Holmes (10 shared papers)Michael Taylor (26 shared papers)Suren A. Tatulian (25 shared papers)Tuhina Banerjee (16 shared papers)Shane Massey (8 shared papers)Michael G. Jobling (6 shared papers)Beatriz Quiñones (7 shared papers)Fernando Navarro‐García (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 StatesMexicoSweden
In The Last Decade
Ken Teter
71 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 104
- Endocrinology 473
- Cell Biology 478
- Immunology 513
- Biotechnology 195
- Microbiology 98
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 | 199 | |
| 2 | 2005 | 90 | |
| 3 | 2002 | 73 | |
| 4 | 2004 | 72 | |
| 5 | 1998 | 68 | |
| 6 | 2009 | 67 | |
| 7 | 2007 | 64 | |
| 8 | 2010 | 64 | |
| 9 | 2011 | 52 | |
| 10 | 2002 | 45 | |
| 11 | 2009 | 42 | |
| 12 | 2003 | 41 | |
| 13 | 2006 | 40 | |
| 14 | 2008 | 36 | |
| 15 | 2007 | 33 | |
| 16 | 2015 | 31 | |
| 17 | 2006 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2016 | 30 | |
| 20 | 2010 | 29 |
About Ken Teter
Ken Teter is a scholar working on Cell Biology, Endocrinology, Immunology, Molecular Biology and Biotechnology, having authored 73 papers that have together received 1.8k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (27 papers), Endoplasmic Reticulum Stress and Disease (27 papers), Escherichia coli research studies (23 papers), Transgenic Plants and Applications (14 papers), Cellular transport and secretion (12 papers), Vibrio bacteria research studies (11 papers), Heat shock proteins research (7 papers) and Lipid Membrane Structure and Behavior (7 papers). The work is most often cited by research in Endocrinology (473 citations), Cell Biology (478 citations), Immunology (513 citations), Biotechnology (195 citations) and Microbiology (98 citations). Ken Teter has collaborated with scholars based in United States, Mexico and Sweden. Frequent co-authors include Randall K. Holmes, Michael Taylor, Suren A. Tatulian, Tuhina Banerjee, Shane Massey, Michael G. Jobling, Beatriz Quiñones, Fernando Navarro‐García, Abhay H. Pande and Supriyo Ray. 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.