Matthew Kirkham
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Cell Biology top 0.2%
- Microtubule and mitosis dynamics
- Caveolin-1 and cellular processes
- Cellular transport and secretion
Papers in
- Cell Biology 15
- Microtubule and mitosis dynamics 7
- Caveolin-1 and cellular processes 5
- Co-authors
- Anthony A. Hyman (7 shared papers)Robert G. Parton (5 shared papers)Karen Oegema (4 shared papers)Pierre Gönczy (4 shared papers)Eva Hannak (2 shared papers)John F. Hancock (3 shared papers)Susan J. Nixon (3 shared papers)Sonja Rybina (1 shared paper)
- Journals
- The Journal of Cell Biology (5 papers)Engineering Geology (2 papers)Cell (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular Cell Research (2 papers)Development (2 papers)
- Partner nations
- United KingdomSwedenGermany
In The Last Decade
Matthew Kirkham
40 papers receiving 3.9k citations
Matthew Kirkham's Hit Papers
Peers
Comparison fields: 5 of 136
- Aging 464
- Cell Biology 2.4k
- Developmental Neuroscience 172
- Molecular Biology 2.4k
- Geophysics 266
Countries citing papers authored by Matthew Kirkham
This map shows the geographic impact of Matthew Kirkham'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 Matthew Kirkham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Kirkham more than expected).
Fields of papers citing papers by Matthew Kirkham
This network shows the impact of papers produced by Matthew Kirkham. 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 Matthew Kirkham. The network helps show where Matthew Kirkham may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Kirkham, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PTRF-Cavin, a Conserved Cytoplasmic Protein Required for Caveola Formation and Function Hit paper breakdown → | 2008 | 570 |
| 2 | 1999 | 370 | |
| 3 | 2005 | 369 | |
| 4 | 2001 | 359 | |
| 5 | 2001 | 357 | |
| 6 | 2005 | 341 | |
| 7 | 2003 | 255 | |
| 8 | 2002 | 173 | |
| 9 | 2012 | 134 | |
| 10 | 2014 | 99 | |
| 11 | 2008 | 95 | |
| 12 | 2005 | 91 | |
| 13 | 2013 | 91 | |
| 14 | 2001 | 84 | |
| 15 | 2010 | 81 | |
| 16 | 2017 | 76 | |
| 17 | 2011 | 67 | |
| 18 | 2013 | 41 | |
| 19 | 2014 | 38 | |
| 20 | 2015 | 26 |
About Matthew Kirkham
Matthew Kirkham is a scholar working on Molecular Biology, Cell Biology, Geophysics, Ocean Engineering and Developmental Neuroscience, having authored 40 papers that have together received 3.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (7 papers), Geophysical and Geoelectrical Methods (6 papers), Seismic Waves and Analysis (6 papers), Geophysical Methods and Applications (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Caveolin-1 and cellular processes (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Landslides and related hazards (4 papers). The work is most often cited by research in Aging (464 citations), Cell Biology (2.4k citations), Developmental Neuroscience (172 citations), Molecular Biology (2.4k citations) and Geophysics (266 citations). Matthew Kirkham has collaborated with scholars based in United Kingdom, Sweden and Germany. Frequent co-authors include Anthony A. Hyman, Robert G. Parton, Karen Oegema, Pierre Gönczy, Eva Hannak, John F. Hancock, Susan J. Nixon, Sonja Rybina, Arshad Desai and András Simon. Their work appears in journals such as The Journal of Cell Biology, Engineering Geology, Cell, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Development.
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.