J. Kim de Riel
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cell Biology top 10%
- Genetics
- Cancer Research
- Co-authors
- Leszek KaczmarekBruno CalabrettaRenato BasergaRenata BattiniLee‐Yuan Liu‐ChenChongguang ChenKristoffer ValerieEarl E. Henderson
- Topics
- Receptor Mechanisms and Signaling (11 papers)Neuropeptides and Animal Physiology (11 papers)DNA Repair Mechanisms (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesSwedenSpain
In The Last Decade
J. Kim de Riel
30 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 429
- Cell Biology 159
- Genetics 155
- Cancer Research 110
Countries citing papers authored by J. Kim de Riel
This map shows the geographic impact of J. Kim de Riel'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 J. Kim de Riel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kim de Riel more than expected).
Fields of papers citing papers by J. Kim de Riel
This network shows the impact of papers produced by J. Kim de Riel. 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 J. Kim de Riel. The network helps show where J. Kim de Riel may publish in the future.
Co-authorship network of co-authors of J. Kim de Riel
This figure shows the co-authorship network connecting the top 25 collaborators of J. Kim de Riel. A scholar is included among the top collaborators of J. Kim de Riel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Kim de Riel. J. Kim de Riel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 57 | |
| 3 | 25 | |
| 4 | 38 | |
| 5 | 68 | |
| 6 | 74 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 68 | |
| 10 | 34 | |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 12 | |
| 14 | 9 | |
| 15 | 7 | |
| 16 | 45 | |
| 17 | Transient and stable complementation of ultraviolet repair in xeroderma pigmentosum cells by the denV gene of bacteriophage T4. | 31 |
| 18 | 60 | |
| 19 | 11 | |
| 20 | 41 |
About J. Kim de Riel
J. Kim de Riel is a scholar working on Cellular and Molecular Neuroscience, Aging and Molecular Biology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and DNA Repair Mechanisms (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (429 citations), Molecular Biology (1.2k citations) and Cell Biology (159 citations). J. Kim de Riel has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Leszek Kaczmarek, Bruno Calabretta, Renato Baserga, Renata Battini, Lee‐Yuan Liu‐Chen, Chongguang Chen, Kristoffer Valerie, Earl E. Henderson, Sérgio Ferrari and Jinmin Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.