Michael J.O. Wakelam
Impact in
- Biochemistry top 0.1%
- Lipid metabolism and biosynthesis
- Cell Biology top 0.2%
- Cellular transport and secretion
Papers in
- Biochemistry 24
- Lipid metabolism and biosynthesis 22
- Cell Biology 53
- Cellular transport and secretion 30
- Co-authors
- Trevor R. PettittSimon J. CookFriedrich SpenerMatthew N. HodgkinEdward A. DennisMiles D. HouslayShankar SubramaniamZuo‐Feng Zhang
- Journals
- Biochemical Journal (37 papers)Biochemical Society Transactions (23 papers)Journal of Biological Chemistry (12 papers)FEBS Letters (8 papers)Journal of Lipid Research (8 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Michael J.O. Wakelam
241 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Biochemistry 1.5k
- Cell Biology 2.5k
- Aging 271
- Molecular Biology 10.5k
- Cancer Research 1.6k
Countries citing papers authored by Michael J.O. Wakelam
This map shows the geographic impact of Michael J.O. Wakelam'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 J.O. Wakelam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J.O. Wakelam more than expected).
Fields of papers citing papers by Michael J.O. Wakelam
This network shows the impact of papers produced by Michael J.O. Wakelam. 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 J.O. Wakelam. The network helps show where Michael J.O. Wakelam may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael J.O. Wakelam, 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 | 2023 | 2 | |
| 2 | 2021 | 17 | |
| 3 | Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures Hit paper breakdown → | 2020 | 518 |
| 4 | 2020 | 106 | |
| 5 | 2019 | 72 | |
| 6 | 2018 | 20 | |
| 7 | 2018 | 11 | |
| 8 | 2017 | 115 | |
| 9 | 2016 | 10 | |
| 10 | 2016 | 5 | |
| 11 | 2013 | 7 | |
| 12 | 2012 | 174 | |
| 13 | 2010 | 37 | |
| 14 | 2007 | 46 | |
| 15 | 2005 | 46 | |
| 16 | 2005 | 74 | |
| 17 | 2002 | 87 | |
| 18 | 1996 | 40 | |
| 19 | G-proteins : signal transduction and disease | 1992 | 19 |
| 20 | 1989 | 4 |
About Michael J.O. Wakelam
Michael J.O. Wakelam is a scholar working on Biochemistry, Cell Biology, Aging, Molecular Biology and Immunology and Allergy, having authored 241 papers that have together received 15.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (65 papers), Pancreatic function and diabetes (36 papers), Cellular transport and secretion (30 papers), Metabolism, Diabetes, and Cancer (23 papers), Lipid metabolism and biosynthesis (22 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Sphingolipid Metabolism and Signaling (16 papers) and Advanced Proteomics Techniques and Applications (14 papers). The work is most often cited by research in Biochemistry (1.5k citations), Cell Biology (2.5k citations), Aging (271 citations), Molecular Biology (10.5k citations) and Cancer Research (1.6k citations). Michael J.O. Wakelam has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Trevor R. Pettitt, Simon J. Cook, Friedrich Spener, Matthew N. Hodgkin, Edward A. Dennis, Miles D. Houslay, Shankar Subramaniam, Zuo‐Feng Zhang, Robert C. Murphy and Eoin Fahy. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Journal of Biological Chemistry, FEBS Letters and Journal of Lipid Research.
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.