Michael Taylor
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
- Immunology 16
- Toxin Mechanisms and Immunotoxins 15
- Cell Biology 15
- Endoplasmic Reticulum Stress and Disease 15
- Cellular transport and secretion 2
- Co-authors
- Ken Teter (25 shared papers)Suren A. Tatulian (15 shared papers)Tuhina Banerjee (14 shared papers)Supriyo Ray (7 shared papers)Mark T. Muller (2 shared papers)Shane Massey (5 shared papers)Abhay H. Pande (4 shared papers)Joo Hee Kim (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Infection and Immunity (4 papers)PLoS ONE (3 papers)Toxins (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesNorwayMexico
In The Last Decade
Michael Taylor
32 papers receiving 684 citations
Peers
Comparison fields: 5 of 84
- Endocrinology 166
- Cell Biology 197
- Immunology 243
- Biotechnology 72
- Microbiology 42
Countries citing papers authored by Michael Taylor
This map shows the geographic impact of Michael Taylor'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 Michael Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Taylor more than expected).
Fields of papers citing papers by Michael Taylor
This network shows the impact of papers produced by Michael Taylor. 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 Michael Taylor. The network helps show where Michael Taylor may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Taylor, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 66 | |
| 2 | 2007 | 59 | |
| 3 | 2014 | 56 | |
| 4 | 2010 | 55 | |
| 5 | 2011 | 45 | |
| 6 | 1981 | 40 | |
| 7 | 2009 | 37 | |
| 8 | 2010 | 28 | |
| 9 | 2014 | 28 | |
| 10 | 2011 | 28 | |
| 11 | 2012 | 26 | |
| 12 | 2016 | 25 | |
| 13 | 2014 | 24 | |
| 14 | 2013 | 23 | |
| 15 | 2011 | 20 | |
| 16 | 2014 | 18 | |
| 17 | 2016 | 18 | |
| 18 | 2019 | 17 | |
| 19 | 2018 | 12 | |
| 20 | 2012 | 12 |
About Michael Taylor
Michael Taylor is a scholar working on Immunology, Cell Biology, Endocrinology, Molecular Biology and Biotechnology, having authored 37 papers that have together received 699 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (15 papers), Toxin Mechanisms and Immunotoxins (15 papers), Escherichia coli research studies (13 papers), Vibrio bacteria research studies (6 papers), Transgenic Plants and Applications (6 papers), Heat shock proteins research (4 papers), Lipid Membrane Structure and Behavior (4 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Endocrinology (166 citations), Cell Biology (197 citations), Immunology (243 citations), Biotechnology (72 citations) and Microbiology (42 citations). Michael Taylor has collaborated with scholars based in United States, Norway and Mexico. Frequent co-authors include Ken Teter, Suren A. Tatulian, Tuhina Banerjee, Supriyo Ray, Mark T. Muller, Shane Massey, Abhay H. Pande, Joo Hee Kim, Gun Eui Lee and Randall K. Holmes. Their work appears in journals such as Journal of Biological Chemistry, Infection and Immunity, PLoS ONE, Toxins and Journal of Molecular Biology.
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.