Sven Heinz

94 total papers · 22.9k total citations
52 papers, 13.1k citations indexed

About

Sven Heinz is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Sven Heinz has authored 52 papers receiving a total of 13.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 17 papers in Immunology and 7 papers in Cancer Research. Recurrent topics in Sven Heinz's work include Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (13 papers) and Epigenetics and DNA Methylation (8 papers). Sven Heinz is often cited by papers focused on Genomics and Chromatin Dynamics (16 papers), RNA Research and Splicing (13 papers) and Epigenetics and DNA Methylation (8 papers). Sven Heinz collaborates with scholars based in United States, Germany and United Kingdom. Sven Heinz's co-authors include Christopher Benner, Christopher K. Glass, Nathanael J. Spann, Yin C. Lin, Cornelis Murre, Eric Bertolino, Harinder Singh, Peter Laslo, Jason X. Cheng and Casey E. Romanoski and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sven Heinz

50 papers receiving 13.0k citations

Hit Papers

Simple Combinations of Li... 2010 2026 2015 2020 2010 2015 2013 2.5k 5.0k 7.5k

Author Peers

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

Author Last Decade Papers Cites
Sven Heinz 9.6k 2.8k 1.9k 1.4k 1.1k 52 13.1k
Jason D. Buenrostro 11.3k 1.2× 2.3k 0.8× 2.4k 1.2× 1.5k 1.1× 1.0k 0.9× 66 14.0k
Yin C. Lin 7.5k 0.8× 2.3k 0.8× 1.3k 0.7× 1.1k 0.8× 898 0.8× 34 10.0k
Peter Laslo 7.3k 0.8× 2.0k 0.7× 1.3k 0.7× 1.1k 0.8× 833 0.8× 20 9.8k
Joanna Wysocka 16.4k 1.7× 1.4k 0.5× 2.7k 1.4× 2.4k 1.8× 2.0k 1.8× 111 19.3k
Gregory E. Crawford 13.8k 1.4× 1.2k 0.4× 1.5k 0.8× 3.4k 2.5× 1.4k 1.3× 120 16.1k
David I. K. Martin 9.1k 0.9× 987 0.4× 1.6k 0.8× 2.8k 2.0× 1.1k 1.0× 94 11.5k
Laurie A. Boyer 12.6k 1.3× 770 0.3× 2.2k 1.1× 1.6k 1.2× 831 0.8× 48 14.1k
Neville E. Sanjana 10.2k 1.1× 1.1k 0.4× 1.6k 0.8× 1.7k 1.2× 469 0.4× 74 12.4k
Alexander Tarakhovsky 9.0k 0.9× 5.7k 2.0× 2.5k 1.3× 1.7k 1.3× 325 0.3× 100 15.2k
Jacob H. Hanna 15.6k 1.6× 3.7k 1.3× 2.0k 1.0× 2.3k 1.7× 469 0.4× 111 20.2k

Countries citing papers authored by Sven Heinz

Since Specialization
Citations

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

Fields of papers citing papers by Sven Heinz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Heinz

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