Jonathan M. Riel

45 total papers · 630 total citations
26 papers, 475 citations indexed

About

Jonathan M. Riel is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Jonathan M. Riel has authored 26 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Genetics and 12 papers in Reproductive Medicine. Recurrent topics in Jonathan M. Riel's work include Sperm and Testicular Function (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Reproductive Biology and Fertility (6 papers). Jonathan M. Riel is often cited by papers focused on Sperm and Testicular Function (12 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers) and Reproductive Biology and Fertility (6 papers). Jonathan M. Riel collaborates with scholars based in United States, United Kingdom and Netherlands. Jonathan M. Riel's co-authors include Monika A. Ward, Yasuhiro Yamauchi, Zoia Stoytcheva, Paul S. Burgoyne, Obah A. Ojarikre, Julie Cocquet, Thomas Huang, Men‐Jean Lee, Peter J. I. Ellis and Michael Mitchell and has published in prestigious journals such as Science, Journal of Clinical Oncology and Scientific Reports.

In The Last Decade

Jonathan M. Riel

24 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Jonathan M. Riel 240 233 152 105 59 26 475
Houyang Chen 67 0.3× 173 0.7× 256 1.7× 159 1.5× 34 0.6× 37 526
Frédéric Leduc 125 0.5× 262 1.1× 185 1.2× 151 1.4× 57 1.0× 17 476
Silvia González-Rojo 113 0.5× 136 0.6× 130 0.9× 64 0.6× 15 0.3× 19 510
Sofia Boeg Winge 124 0.5× 168 0.7× 171 1.1× 73 0.7× 56 0.9× 22 445
Seung‐Bin Yoon 48 0.2× 215 0.9× 120 0.8× 253 2.4× 28 0.5× 33 493
Kristina Rathsack 107 0.4× 343 1.5× 137 0.9× 188 1.8× 22 0.4× 13 479
Nathália de Lima e Martins Lara 112 0.5× 175 0.8× 229 1.5× 126 1.2× 24 0.4× 27 437
Christine Kervarrec 74 0.3× 174 0.7× 129 0.8× 84 0.8× 140 2.4× 14 496
Parikipandla Sridevi 255 1.1× 92 0.4× 92 0.6× 44 0.4× 20 0.3× 39 505
Marc A. Beal 76 0.3× 204 0.9× 51 0.3× 38 0.4× 86 1.5× 32 521

Countries citing papers authored by Jonathan M. Riel

Since Specialization
Citations

This map shows the geographic impact of Jonathan M. 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 Jonathan M. Riel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan M. Riel more than expected).

Fields of papers citing papers by Jonathan M. Riel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. 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 Jonathan M. Riel. The network helps show where Jonathan M. Riel may publish in the future.

Co-authorship network of co-authors of Jonathan M. Riel

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan M. Riel. A scholar is included among the top collaborators of Jonathan M. 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 Jonathan M. Riel. Jonathan M. 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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