L. Lambourne
Impact in
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- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Gene expression and cancer classification
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- Computational Drug Discovery Methods
Papers in ⓘ
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- Advanced Proteomics Techniques and Applications 2
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- Particle physics theoretical and experimental studies 1
- High-Energy Particle Collisions Research 1
- Co-authors
- Marc Vidal (3 shared papers)Michael A. Calderwood (1 shared paper)Miguel A. Gutiérrez (1 shared paper)Diego Alonso‐López (1 shared paper)Javier De Las Rivas (1 shared paper)Francisco Campos‐Laborie (1 shared paper)Yu Xia (3 shared papers)Christopher Jacobs (1 shared paper)
- Journals
- PLoS Computational Biology (1 paper)PLoS ONE (1 paper)Database (1 paper)Journal of Molecular Biology (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
L. Lambourne
5 papers receiving 156 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 132
- Computational Theory and Mathematics 30
- Aging 2
- Cell Biology 12
- Nuclear and High Energy Physics 9
Countries citing papers authored by L. Lambourne
This map shows the geographic impact of L. Lambourne'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 L. Lambourne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Lambourne more than expected).
Fields of papers citing papers by L. Lambourne
This network shows the impact of papers produced by L. Lambourne. 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 L. Lambourne. The network helps show where L. Lambourne may publish in the future.
Co-authors
The 15 scholars most cited alongside L. Lambourne, 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 | 2019 | 112 | |
| 2 | 2017 | 25 | |
| 3 | 2013 | 9 | |
| 4 | 2017 | 7 | |
| 5 | 2018 | 6 | |
| 6 | 2022 | 0 |
About L. Lambourne
L. Lambourne is a scholar working on Spectroscopy, Nuclear and High Energy Physics, Molecular Biology, Food Science and Infectious Diseases, having authored 6 papers that have together received 159 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Protein Structure and Dynamics (2 papers), Fungal and yeast genetics research (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Particle physics theoretical and experimental studies (1 paper), High-Energy Particle Collisions Research (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Molecular Biology (132 citations), Computational Theory and Mathematics (30 citations), Aging (2 citations), Cell Biology (12 citations) and Nuclear and High Energy Physics (9 citations). L. Lambourne has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Marc Vidal, Michael A. Calderwood, Miguel A. Gutiérrez, Diego Alonso‐López, Javier De Las Rivas, Francisco Campos‐Laborie, Yu Xia, Christopher Jacobs, B. D. Cooper and D. R. Wardrope. Their work appears in journals such as PLoS Computational Biology, PLoS ONE, Database, Journal of Molecular Biology and Methods in molecular 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.