Les Grivell
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Aging top 5%
Papers in
-
- RNA and protein synthesis mechanisms 11
- Mitochondrial Function and Pathology 8
- Fungal and yeast genetics research 7
- RNA Research and Splicing 5
- Biomedical Text Mining and Ontologies 4
- Microbial Metabolic Engineering and Bioproduction 4
- RNA modifications and cancer 4
- Co-authors
- Leo Nijtmans (4 shared papers)Marta Artal‐Sanz (3 shared papers)Hans van der Spek (6 shared papers)L. Reijnders (3 shared papers)Philip J. Coates (1 shared paper)Barbara Plecko (1 shared paper)Piet Borst (2 shared papers)Fredoen Valianpour (1 shared paper)
- Journals
- Current Genetics (4 papers)EMBO Reports (4 papers)Genome biology (2 papers)Journal of Biological Chemistry (2 papers)The EMBO Journal (2 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Les Grivell
29 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 108
- Clinical Biochemistry 194
- Aging 47
- Molecular Biology 1.5k
- Biochemistry 92
- Cell Biology 156
Countries citing papers authored by Les Grivell
This map shows the geographic impact of Les Grivell'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 Les Grivell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Les Grivell more than expected).
Fields of papers citing papers by Les Grivell
This network shows the impact of papers produced by Les Grivell. 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 Les Grivell. The network helps show where Les Grivell may publish in the future.
Co-authors
The 25 scholars most cited alongside Les Grivell, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 335 | |
| 2 | 2002 | 256 | |
| 3 | 2003 | 181 | |
| 4 | 2002 | 146 | |
| 5 | 2003 | 135 | |
| 6 | 1971 | 99 | |
| 7 | 2002 | 88 | |
| 8 | 1975 | 80 | |
| 9 | 2008 | 72 | |
| 10 | 1972 | 61 | |
| 11 | 1987 | 52 | |
| 12 | 1971 | 49 | |
| 13 | 2002 | 48 | |
| 14 | 1996 | 44 | |
| 15 | 1992 | 38 | |
| 16 | 1987 | 25 | |
| 17 | 2004 | 19 | |
| 18 | 2006 | 14 | |
| 19 | 1990 | 7 | |
| 20 | 2001 | 5 |
About Les Grivell
Les Grivell is a scholar working on Molecular Biology, Information Systems and Management, Information Systems, Aging and Statistics, Probability and Uncertainty, having authored 29 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), Mitochondrial Function and Pathology (8 papers), Fungal and yeast genetics research (7 papers), RNA Research and Splicing (5 papers), Research Data Management Practices (4 papers), Biomedical Text Mining and Ontologies (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Clinical Biochemistry (194 citations), Aging (47 citations), Molecular Biology (1.5k citations), Biochemistry (92 citations) and Cell Biology (156 citations). Les Grivell has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Leo Nijtmans, Marta Artal‐Sanz, Hans van der Spek, L. Reijnders, Philip J. Coates, Barbara Plecko, Piet Borst, Fredoen Valianpour, P. Vreken and P. G. Barth. Their work appears in journals such as Current Genetics, EMBO Reports, Genome biology, Journal of Biological Chemistry and The EMBO Journal.
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.