Mark Larance
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer
- Ubiquitin and proteasome pathways
Papers in
-
- Ubiquitin and proteasome pathways 9
- Metabolism, Diabetes, and Cancer 8
- RNA modifications and cancer 6
- Physiology 19
- Adipose Tissue and Metabolism 11
- Co-authors
- Angus I. Lamond (15 shared papers)David E. James (15 shared papers)Georg Ramm (5 shared papers)Michael Guilhaus (8 shared papers)Markus Bach (1 shared paper)Yasmeen Ahmad (2 shared papers)Dylan Harney (17 shared papers)Jacqueline Stöckli (2 shared papers)
- Journals
- Molecular & Cellular Proteomics (11 papers)Cell Reports (4 papers)Cell Metabolism (3 papers)Journal of Proteome Research (3 papers)Blood Advances (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark Larance
74 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 121
- Aging 177
- Molecular Biology 2.0k
- Cell Biology 449
- Spectroscopy 381
- Physiology 489
Countries citing papers authored by Mark Larance
This map shows the geographic impact of Mark Larance'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 Mark Larance with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Larance more than expected).
Fields of papers citing papers by Mark Larance
This network shows the impact of papers produced by Mark Larance. 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 Mark Larance. The network helps show where Mark Larance may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Larance, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 319 | |
| 2 | 2015 | 297 | |
| 3 | 2011 | 206 | |
| 4 | 2006 | 172 | |
| 5 | 2010 | 127 | |
| 6 | 2013 | 110 | |
| 7 | 2011 | 96 | |
| 8 | 2012 | 94 | |
| 9 | 2008 | 92 | |
| 10 | 2007 | 70 | |
| 11 | 2019 | 69 | |
| 12 | 2017 | 57 | |
| 13 | 2023 | 54 | |
| 14 | 2017 | 49 | |
| 15 | 2016 | 49 | |
| 16 | 2020 | 49 | |
| 17 | 2008 | 47 | |
| 18 | 2022 | 45 | |
| 19 | 2018 | 44 | |
| 20 | 2018 | 44 |
About Mark Larance
Mark Larance is a scholar working on Molecular Biology, Physiology, Spectroscopy, Epidemiology and Surgery, having authored 76 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Advanced Proteomics Techniques and Applications (11 papers), Ubiquitin and proteasome pathways (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Pancreatic function and diabetes (7 papers), RNA modifications and cancer (6 papers) and Endoplasmic Reticulum Stress and Disease (5 papers). The work is most often cited by research in Aging (177 citations), Molecular Biology (2.0k citations), Cell Biology (449 citations), Spectroscopy (381 citations) and Physiology (489 citations). Mark Larance has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Angus I. Lamond, David E. James, Georg Ramm, Michael Guilhaus, Markus Bach, Yasmeen Ahmad, Dylan Harney, Jacqueline Stöckli, Valerie C. Wasinger and Jagath R. Junutula. Their work appears in journals such as Molecular & Cellular Proteomics, Cell Reports, Cell Metabolism, Journal of Proteome Research and Blood Advances.
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.