Greg Von Kuster

4.6k citations
2 papers · 1.5k · 1 hit paper · h-index 2

Impact in

  • Aging top 10%
    • Genomics and Phylogenetic Studies
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering

Papers in

Greg Von Kuster

2 papers receiving 1.5k citations

Greg Von Kuster's Hit Papers

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update 2016 · 1.5k citations
1.5k0+3+6Years since publication4008001.2k

Peers

Greg Von Kuster
Comparison fields: 5 of 128
  • Aging 25
  • Molecular Biology 822
  • Information Systems and Management 81
  • Endocrinology 54
  • Molecular Medicine 43
Replace Carl Eberhard with:
Carl Eberhard United States
Eric Rasche United States
Nitesh Turaga United States
Mahmut Uludağ Saudi Arabia
Gregory Von Kuster United States
W. James Kent United States
Richard Burhans United States
Gerhard Mayer Germany
Bérénice Batut Germany
Frédéric Lemoine France
Greg Von Kuster relative to Carl Eberhard United States Carl Eberhard's profile →
Citations per field
00.5×1.5×
Carl Eberhard · 1×
Citations per year

Countries citing papers authored by Greg Von Kuster

Since Specialization
Citations

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

Fields of papers citing papers by Greg Von Kuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg Von Kuster. 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 Greg Von Kuster. The network helps show where Greg Von Kuster may publish in the future.

Co-authors

The 21 scholars most cited alongside Greg Von Kuster, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Greg Von Kuster Line = papers co-authored together Greg Von Kuster links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Greg Von Kuster

Greg Von Kuster is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Biophysics and Infectious Diseases, having authored 2 papers that have together received 1.5k indexed citations. Recurring topics across this work include Research Data Management Practices (1 paper), Scientific Computing and Data Management (1 paper), Epigenetics and DNA Methylation (1 paper), RNA modifications and cancer (1 paper), Cell Image Analysis Techniques (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Aging (25 citations), Molecular Biology (822 citations), Information Systems and Management (81 citations), Endocrinology (54 citations) and Molecular Medicine (43 citations). Greg Von Kuster has collaborated with scholars based in Germany, United States and France. Frequent co-authors include James Taylor, Anton Nekrutenko, Nate Coraor, Jennifer Hillman‐Jackson, Nicola Soranzo, Aysam Guerler, Daniel Blankenberg, Dave Bouvier, Carl Eberhard and Jeremy Goecks. Their work appears in journals such as Nucleic Acids Research and Methods in molecular biology.

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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