Szabolcs Szelinger

114 total papers · 7.3k total citations
26 papers, 1.3k citations indexed

About

Szabolcs Szelinger is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Szabolcs Szelinger has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 15 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Szabolcs Szelinger's work include Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Rare Diseases (7 papers) and CRISPR and Genetic Engineering (4 papers). Szabolcs Szelinger is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Genomics and Rare Diseases (7 papers) and CRISPR and Genetic Engineering (4 papers). Szabolcs Szelinger collaborates with scholars based in United States, Belgium and Czechia. Szabolcs Szelinger's co-authors include David W. Craig, John V. Pearson, Nils Homer, Dietrich A. Stephan, Waibhav Tembe, Jill Muehling, Stanley F. Nelson, David Duggan, Matthew J. Huentelman and Jason J. Corneveaux and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Szabolcs Szelinger

22 papers receiving 1.3k citations

Hit Papers

Resolving Individuals Con... 2008 2026 2014 2020 2008 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Szabolcs Szelinger 499 490 372 264 156 26 1.3k
George Tucker 606 1.2× 630 1.3× 418 1.1× 53 0.2× 56 0.4× 32 1.8k
Jeantine E. Lunshof 519 1.0× 366 0.7× 74 0.2× 494 1.9× 79 0.5× 44 1.4k
Michelle Turcotte 632 1.3× 614 1.3× 63 0.2× 145 0.5× 126 0.8× 17 1.8k
Larsson Omberg 571 1.1× 302 0.6× 129 0.3× 59 0.2× 217 1.4× 40 1.5k
James R. Giles 284 0.6× 325 0.7× 131 0.4× 301 1.1× 92 0.6× 43 1.1k
Nicole Vasilevsky 647 1.3× 325 0.7× 147 0.4× 119 0.5× 68 0.4× 48 1.3k
Rong Chen 840 1.7× 510 1.0× 128 0.3× 65 0.2× 258 1.7× 57 1.8k
Randall Pruim 573 1.1× 719 1.5× 110 0.3× 50 0.2× 123 0.8× 19 1.7k
Nicole Washington 1.1k 2.3× 859 1.8× 153 0.4× 68 0.3× 182 1.2× 43 1.8k
Faraz Faghri 796 1.6× 177 0.4× 281 0.8× 81 0.3× 119 0.8× 26 1.7k

Countries citing papers authored by Szabolcs Szelinger

Since Specialization
Citations

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

Fields of papers citing papers by Szabolcs Szelinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szabolcs Szelinger

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