Christopher Larminie
Impact in
- Aging top 10%
- Biological Psychiatry top 10%
Papers in
-
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Single-cell and spatial transcriptomics 2
- Receptor Mechanisms and Signaling 2
- RNA modifications and cancer 2
- Oncology 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Iain L. Johnstone (1 shared paper)Paul R. Murdock (1 shared paper)Mark A. Scheideler (1 shared paper)Martine Garnier (1 shared paper)Robert J. White (3 shared papers)Malcolm Duckworth (1 shared paper)Kendall Blumer (1 shared paper)Jean‐Philippe Walhin (1 shared paper)
- Journals
- Nature Genetics (1 paper)Nature Communications (1 paper)Drug Discovery Today (1 paper)European Journal of Pharmacology (1 paper)DNA and Cell Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Christopher Larminie
15 papers receiving 732 citations
Peers
Comparison fields: 5 of 85
- Aging 30
- Biological Psychiatry 36
- Molecular Biology 493
- Immunology 148
- Genetics 127
Countries citing papers authored by Christopher Larminie
This map shows the geographic impact of Christopher Larminie'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 Christopher Larminie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Larminie more than expected).
Fields of papers citing papers by Christopher Larminie
This network shows the impact of papers produced by Christopher Larminie. 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 Christopher Larminie. The network helps show where Christopher Larminie may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Larminie, 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 | 2009 | 150 | |
| 2 | 2020 | 145 | |
| 3 | 2004 | 114 | |
| 4 | 1997 | 86 | |
| 5 | 2019 | 63 | |
| 6 | 1996 | 50 | |
| 7 | 1999 | 41 | |
| 8 | 1998 | 30 | |
| 9 | 2004 | 16 | |
| 10 | 2014 | 16 | |
| 11 | 2011 | 11 | |
| 12 | 1998 | 6 | |
| 13 | 2010 | 5 | |
| 14 | 2017 | 4 | |
| 15 | Literature mining, gene-set enrichment and pathway analysis for target identification in Behçet's disease. | 2017 | 4 |
About Christopher Larminie
Christopher Larminie is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Aging, having authored 15 papers that have together received 741 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Single-cell and spatial transcriptomics (2 papers), T-cell and B-cell Immunology (2 papers), Receptor Mechanisms and Signaling (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cancer-related Molecular Pathways (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Aging (30 citations), Biological Psychiatry (36 citations), Molecular Biology (493 citations), Immunology (148 citations) and Genetics (127 citations). Christopher Larminie has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Iain L. Johnstone, Paul R. Murdock, Mark A. Scheideler, Martine Garnier, Robert J. White, Malcolm Duckworth, Kendall Blumer, Jean‐Philippe Walhin, Blagoje Soskic and Deborah J. Smyth. Their work appears in journals such as Nature Genetics, Nature Communications, Drug Discovery Today, European Journal of Pharmacology and DNA and Cell Biology.
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.