J. Kim de Riel

33 total papers · 1.5k total citations
30 papers, 1.4k citations indexed

About

J. Kim de Riel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology. According to data from OpenAlex, J. Kim de Riel has authored 30 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 5 papers in Ecology. Recurrent topics in J. Kim de Riel's work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and DNA Repair Mechanisms (9 papers). J. Kim de Riel is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (11 papers) and DNA Repair Mechanisms (9 papers). J. Kim de Riel collaborates with scholars based in United States, Sweden and Spain. J. Kim de Riel's co-authors include Bruno Calabretta, Leszek Kaczmarek, Renato Baserga, Renata Battini, Lee‐Yuan Liu‐Chen, Chongguang Chen, Kristoffer Valerie, Earl E. Henderson, Sérgio Ferrari and Jinmin Zhu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

J. Kim de Riel

30 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Kim de Riel 1.2k 429 159 154 109 30 1.4k
Dennis Van Hoof 992 0.8× 191 0.4× 93 0.6× 150 1.0× 58 0.5× 25 1.4k
Petur H. Petersen 840 0.7× 161 0.4× 187 1.2× 224 1.5× 77 0.7× 31 1.3k
Jesús Cruces 1.1k 0.9× 206 0.5× 191 1.2× 188 1.2× 45 0.4× 32 1.4k
Alphonse Krystosek 851 0.7× 343 0.8× 267 1.7× 120 0.8× 397 3.6× 25 1.5k
Kent L. Nastiuk 799 0.7× 243 0.6× 100 0.6× 174 1.1× 168 1.5× 45 1.5k
Carlo Rinaldi 1.2k 1.0× 531 1.2× 94 0.6× 147 1.0× 174 1.6× 47 1.7k
Anthea Letsou 1.2k 1.0× 170 0.4× 243 1.5× 241 1.6× 62 0.6× 29 1.5k
Karel Dorey 1.1k 0.9× 133 0.3× 238 1.5× 119 0.8× 62 0.6× 20 1.7k
Sofia J. Araújo 1.0k 0.8× 197 0.5× 183 1.2× 138 0.9× 220 2.0× 31 1.2k
Kwan‐Hee You 571 0.5× 455 1.1× 125 0.8× 203 1.3× 83 0.8× 35 1.3k

Countries citing papers authored by J. Kim de Riel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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