Brian Idoni

9 total papers · 555 total citations
4 papers, 433 citations indexed

About

Brian Idoni is a scholar working on Molecular Biology, Genetics and Organic Chemistry. According to data from OpenAlex, Brian Idoni has authored 4 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Organic Chemistry. Recurrent topics in Brian Idoni's work include Fibroblast Growth Factor Research (2 papers), Connective tissue disorders research (2 papers) and Genetic Syndromes and Imprinting (2 papers). Brian Idoni is often cited by papers focused on Fibroblast Growth Factor Research (2 papers), Connective tissue disorders research (2 papers) and Genetic Syndromes and Imprinting (2 papers). Brian Idoni collaborates with scholars based in United States, Czechia and Canada. Brian Idoni's co-authors include Steven B. Oppenheimer, Haike Ghazarian, Deborah Krakow, Amy E. Merrill, Cynthia L. Neben, Creighton T. Tuzon, Judd C. Rice, Kristine D. Estrada, H. B. Robinson and Karen M. Lyons and has published in prestigious journals such as The American Journal of Human Genetics, Human Molecular Genetics and Experimental Cell Research.

In The Last Decade

Brian Idoni

4 papers receiving 428 citations

Author Peers

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

Author Last Decade Papers Cites
Brian Idoni 336 95 94 70 34 4 433
Maurice S. Brozzo 342 1.0× 56 0.6× 83 0.9× 42 0.6× 17 0.5× 7 429
Jérémy Boilevin 375 1.1× 140 1.5× 62 0.7× 46 0.7× 37 1.1× 10 455
Richard Bernasconi 283 0.8× 44 0.5× 31 0.3× 79 1.1× 50 1.5× 9 428
David Damerell 388 1.2× 96 1.0× 39 0.4× 47 0.7× 21 0.6× 7 458
Willem M. Blanken 404 1.2× 247 2.6× 97 1.0× 61 0.9× 55 1.6× 11 492
Elisabeth Mohorko 322 1.0× 63 0.7× 95 1.0× 18 0.3× 27 0.8× 6 389
M. E. van der Stelt 328 1.0× 60 0.6× 168 1.8× 31 0.4× 25 0.7× 9 423
Shawn Lawrence 354 1.1× 82 0.9× 69 0.7× 17 0.2× 79 2.3× 9 404
Florent Clerc 378 1.1× 83 0.9× 113 1.2× 60 0.9× 9 0.3× 5 482
Ruye Xing 286 0.9× 51 0.5× 36 0.4× 33 0.5× 33 1.0× 9 399

Countries citing papers authored by Brian Idoni

Since Specialization
Citations

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

Fields of papers citing papers by Brian Idoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian Idoni. 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 Brian Idoni. The network helps show where Brian Idoni may publish in the future.

Co-authorship network of co-authors of Brian Idoni

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Idoni. A scholar is included among the top collaborators of Brian Idoni 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 Brian Idoni. Brian Idoni 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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