Ross C. Laxton
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Protease and Inhibitor Mechanisms
Papers in
- Genetics 9
- Glioma Diagnosis and Treatment 9
-
- Chromatin Remodeling and Cancer 2
- Co-authors
- Shu Ye (12 shared papers)Conrad P. Hodgkinson (4 shared papers)Kunal P. Patel (1 shared paper)Safa Al‐Sarraj (8 shared papers)J. R. Newton (2 shared papers)James L. N. Wood (2 shared papers)N. Chanter (2 shared papers)István Bódi (9 shared papers)
- Journals
- Neuro-Oncology (2 papers)PLoS ONE (2 papers)The Veterinary Journal (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Pathology & Oncology Research (2 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
Ross C. Laxton
25 papers receiving 597 citations
Peers
Comparison fields: 5 of 71
- Genetics 107
- Cancer Research 134
- Clinical Biochemistry 55
- Hematology 66
- Equine 8
Countries citing papers authored by Ross C. Laxton
This map shows the geographic impact of Ross C. Laxton'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 Ross C. Laxton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ross C. Laxton more than expected).
Fields of papers citing papers by Ross C. Laxton
This network shows the impact of papers produced by Ross C. Laxton. 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 Ross C. Laxton. The network helps show where Ross C. Laxton may publish in the future.
Co-authors
The 25 scholars most cited alongside Ross C. Laxton, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 124 | |
| 2 | 2007 | 80 | |
| 3 | 2011 | 65 | |
| 4 | A Role of Matrix Metalloproteinase-8 in Atherosclerosis | 2016 | 39 |
| 5 | 2014 | 38 | |
| 6 | 2013 | 30 | |
| 7 | 2007 | 29 | |
| 8 | 2010 | 25 | |
| 9 | 2013 | 23 | |
| 10 | 2005 | 23 | |
| 11 | 2010 | 22 | |
| 12 | 2007 | 17 | |
| 13 | 2011 | 17 | |
| 14 | 2013 | 17 | |
| 15 | 2009 | 13 | |
| 16 | 2007 | 11 | |
| 17 | 2023 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2009 | 6 | |
| 20 | 2018 | 6 |
About Ross C. Laxton
Ross C. Laxton is a scholar working on Genetics, Molecular Biology, Oncology, Cancer Research and Epidemiology, having authored 26 papers that have together received 609 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Protease and Inhibitor Mechanisms (5 papers), Peptidase Inhibition and Analysis (4 papers), Meningioma and schwannoma management (4 papers), Cell Adhesion Molecules Research (4 papers), Streptococcal Infections and Treatments (2 papers), Microbial infections and disease research (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Genetics (107 citations), Cancer Research (134 citations), Clinical Biochemistry (55 citations), Hematology (66 citations) and Equine (8 citations). Ross C. Laxton has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Shu Ye, Conrad P. Hodgkinson, Kunal P. Patel, Safa Al‐Sarraj, J. R. Newton, James L. N. Wood, N. Chanter, István Bódi, Andresa Costa Pereira and Johann Willeit. Their work appears in journals such as Neuro-Oncology, PLoS ONE, The Veterinary Journal, Arteriosclerosis Thrombosis and Vascular Biology and Pathology & Oncology 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.