Ramon Grima
Impact in
- Modeling and Simulation top 1%
- Biophysics top 1%
Papers in
-
- Gene Regulatory Network Analysis 87
- Single-cell and spatial transcriptomics 14
- Microbial Metabolic Engineering and Bioproduction 12
- Bioinformatics and Genomic Networks 10
- RNA Research and Splicing 9
- Genetics 30
- Evolution and Genetic Dynamics 22
- Co-authors
- Santiago Schnell (8 shared papers)Zhixing Cao (12 shared papers)Philipp Thomas (12 shared papers)Stephen Smith (9 shared papers)Chen Jia (9 shared papers)Arthur V. Straube (4 shared papers)Nikola Popović (5 shared papers)T. J. Newman (2 shared papers)
- Journals
- The Journal of Chemical Physics (14 papers)Nature Communications (9 papers)Journal of The Royal Society Interface (7 papers)Physical review. E (6 papers)PLoS Computational Biology (5 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Ramon Grima
110 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 139
- Modeling and Simulation 234
- Biophysics 295
- Molecular Biology 2.3k
- Statistical and Nonlinear Physics 422
- Genetics 601
Countries citing papers authored by Ramon Grima
This map shows the geographic impact of Ramon Grima'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 Ramon Grima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramon Grima more than expected).
Fields of papers citing papers by Ramon Grima
This network shows the impact of papers produced by Ramon Grima. 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 Ramon Grima. The network helps show where Ramon Grima may publish in the future.
Co-authors
The 25 scholars most cited alongside Ramon Grima, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2020 | 115 | |
| 3 | 2018 | 92 | |
| 4 | 2010 | 91 | |
| 5 | 2012 | 87 | |
| 6 | 2006 | 85 | |
| 7 | 2012 | 84 | |
| 8 | 2021 | 84 | |
| 9 | 2004 | 76 | |
| 10 | 2012 | 70 | |
| 11 | 2007 | 67 | |
| 12 | 2014 | 66 | |
| 13 | 2008 | 61 | |
| 14 | 2007 | 61 | |
| 15 | 2009 | 60 | |
| 16 | 2016 | 55 | |
| 17 | 2017 | 50 | |
| 18 | 2014 | 47 | |
| 19 | 2013 | 47 | |
| 20 | 2016 | 46 |
About Ramon Grima
Ramon Grima is a scholar working on Molecular Biology, Genetics, Statistical and Nonlinear Physics, Biophysics and Biomedical Engineering, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (87 papers), Evolution and Genetic Dynamics (22 papers), Single-cell and spatial transcriptomics (14 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), stochastic dynamics and bifurcation (11 papers), Advanced Fluorescence Microscopy Techniques (10 papers), Bioinformatics and Genomic Networks (10 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Modeling and Simulation (234 citations), Biophysics (295 citations), Molecular Biology (2.3k citations), Statistical and Nonlinear Physics (422 citations) and Genetics (601 citations). Ramon Grima has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Santiago Schnell, Zhixing Cao, Philipp Thomas, Stephen Smith, Chen Jia, Arthur V. Straube, Nikola Popović, T. J. Newman, Philip K. Maini and Christian Fleck. Their work appears in journals such as The Journal of Chemical Physics, Nature Communications, Journal of The Royal Society Interface, Physical review. E and PLoS Computational 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.