Michael V. Taylor
Impact in
- Aging top 2%
- Molecular Biology top 5%
- Muscle Physiology and Disorders
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
- Ion channel regulation and function
- Protein Kinase Regulation and GTPase Signaling
- Genomics and Chromatin Dynamics
Papers in
- Aging 3
-
- Muscle Physiology and Disorders 15
- Developmental Biology and Gene Regulation 13
- RNA Research and Splicing 8
- Ubiquitin and proteasome pathways 5
- Co-authors
- James C. MetcalfeT R HeskethJohn P. MooreGerry A. SmithGavin SmithJonathan D.H. MorrisNigel GarrettSimon M. Hughes
- Journals
- Current Biology (9 papers)The EMBO Journal (5 papers)Development (4 papers)Seminars in Cell and Developmental Biology (2 papers)Nature (2 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Michael V. Taylor
44 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Aging 97
- Molecular Biology 2.1k
- Cell Biology 396
- Cellular and Molecular Neuroscience 425
- Immunology 313
Countries citing papers authored by Michael V. Taylor
This map shows the geographic impact of Michael V. 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 V. 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 V. Taylor more than expected).
Fields of papers citing papers by Michael V. Taylor
This network shows the impact of papers produced by Michael V. 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 V. Taylor. The network helps show where Michael V. Taylor may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael V. 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 | 2017 | 126 | |
| 2 | 2017 | 5 | |
| 3 | 2016 | 37 | |
| 4 | 2010 | 43 | |
| 5 | 2009 | 25 | |
| 6 | 2007 | 29 | |
| 7 | 2006 | 2 | |
| 8 | 2003 | 27 | |
| 9 | 2002 | 3 | |
| 10 | 2000 | 24 | |
| 11 | 2000 | 261 | |
| 12 | 2000 | 39 | |
| 13 | 1999 | 41 | |
| 14 | 1998 | 16 | |
| 15 | 1996 | 5 | |
| 16 | 1995 | 89 | |
| 17 | 1991 | 22 | |
| 18 | 1988 | 2 | |
| 19 | 1988 | 29 | |
| 20 | 1971 | 2 |
About Michael V. Taylor
Michael V. Taylor is a scholar working on Aging, Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Immunology, having authored 44 papers that have together received 2.7k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (15 papers), Developmental Biology and Gene Regulation (13 papers), RNA Research and Splicing (8 papers), Neurobiology and Insect Physiology Research (7 papers), Ubiquitin and proteasome pathways (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Synthesis and Catalytic Reactions (4 papers) and Synthesis of β-Lactam Compounds (4 papers). The work is most often cited by research in Aging (97 citations), Molecular Biology (2.1k citations), Cell Biology (396 citations), Cellular and Molecular Neuroscience (425 citations) and Immunology (313 citations). Michael V. Taylor has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include James C. Metcalfe, T R Hesketh, John P. Moore, Gerry A. Smith, Gavin Smith, Jonathan D.H. Morris, Nigel Garrett, Simon M. Hughes, J. B. Gurdon and Timothy J. Mohun. Their work appears in journals such as Current Biology, The EMBO Journal, Development, Seminars in Cell and Developmental Biology and Nature.
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.