Wayne E. Taylor
Impact in
- Cell Biology top 1%
- Muscle metabolism and nutrition
-
- Hormonal and reproductive studies
Papers in
- Cell Biology 13
- Muscle metabolism and nutrition 9
- Endoplasmic Reticulum Stress and Disease 4
-
- Hormonal and reproductive studies 9
- Co-authors
- Néstor F. González-CadavidShalender BhasinRajan SinghJorge N. ArtazaIndrani Sinha‐HikimJorge ArtazaKun MaRichard R. Burgess
- Journals
- Endocrinology (5 papers)Molecular and Cellular Biology (4 papers)Proceedings of the National Academy of Sciences (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)American Journal of Physiology-Endocrinology and Metabolism (2 papers)
- Partner nations
- United StatesSwedenBelgium
In The Last Decade
Wayne E. Taylor
41 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 126
- Cell Biology 891
- Endocrinology, Diabetes and Metabolism 869
- Molecular Biology 2.5k
- Physiology 849
- Aging 56
Countries citing papers authored by Wayne E. Taylor
This map shows the geographic impact of Wayne E. 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 Wayne E. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne E. Taylor more than expected).
Fields of papers citing papers by Wayne E. Taylor
This network shows the impact of papers produced by Wayne E. 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 Wayne E. Taylor. The network helps show where Wayne E. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wayne E. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 1 | |
| 2 | 2007 | 132 | |
| 3 | 2006 | 48 | |
| 4 | 2005 | 44 | |
| 5 | 2004 | 32 | |
| 6 | 2004 | 232 | |
| 7 | 2003 | 158 | |
| 8 | 2003 | 452 | |
| 9 | 2002 | 92 | |
| 10 | 1998 | 35 | |
| 11 | 1998 | 45 | |
| 12 | 1997 | 20 | |
| 13 | 1996 | 34 | |
| 14 | 1995 | 14 | |
| 15 | 1990 | 46 | |
| 16 | 1988 | 266 | |
| 17 | 1988 | 80 | |
| 18 | 1987 | 10 | |
| 19 | 1973 | 12 | |
| 20 | 1972 | 52 |
About Wayne E. Taylor
Wayne E. Taylor is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Nephrology and Molecular Biology, having authored 41 papers that have together received 4.0k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (9 papers), Hormonal and reproductive studies (9 papers), Muscle Physiology and Disorders (8 papers), Fungal and yeast genetics research (7 papers), RNA and protein synthesis mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Adipose Tissue and Metabolism (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Cell Biology (891 citations), Endocrinology, Diabetes and Metabolism (869 citations), Molecular Biology (2.5k citations), Physiology (849 citations) and Aging (56 citations). Wayne E. Taylor has collaborated with scholars based in United States, Sweden and Belgium. Frequent co-authors include Néstor F. González-Cadavid, Shalender Bhasin, Rajan Singh, Jorge N. Artaza, Shalender Bhasin, Indrani Sinha‐Hikim, Jorge Artaza, Kun Ma, Richard R. Burgess and E T Young. Their work appears in journals such as Endocrinology, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and American Journal of Physiology-Endocrinology and Metabolism.
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.