Robert Buels

6.5k total citations · 2 hit papers
18 papers, 1.6k citations indexed

About

Robert Buels is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Robert Buels has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Plant Science. Recurrent topics in Robert Buels's work include Genomics and Phylogenetic Studies (15 papers), Genetic diversity and population structure (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Robert Buels is often cited by papers focused on Genomics and Phylogenetic Studies (15 papers), Genetic diversity and population structure (4 papers) and Biomedical Text Mining and Ontologies (2 papers). Robert Buels collaborates with scholars based in United States, Canada and United Kingdom. Robert Buels's co-authors include Ian Holmes, Lincoln Stein, Suzanna Lewis, Christine G. Elsik, Mónica Muñoz-Torres, Gregg Helt, Lukas A. Mueller, Naama Menda, Colin Diesh and David Goodstein and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLANT PHYSIOLOGY.

In The Last Decade

Robert Buels

18 papers receiving 1.5k citations

Hit Papers

JBrowse: a dynamic web platform for genome visualization ... 2016 2026 2019 2022 2016 2023 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Buels United States 12 1.0k 800 268 148 69 18 1.6k
Christopher Dunn United States 3 978 0.9× 699 0.9× 332 1.2× 177 1.2× 80 1.2× 4 1.4k
Bernardo Clavijo United Kingdom 13 789 0.8× 654 0.8× 252 0.9× 144 1.0× 74 1.1× 19 1.3k
Jane M. Landolin United States 7 1.4k 1.3× 589 0.7× 401 1.5× 163 1.1× 46 0.7× 9 1.7k
Tobias Dezulian Germany 7 1000 1.0× 855 1.1× 220 0.8× 182 1.2× 66 1.0× 9 1.8k
Eli Kaminuma Japan 24 1.3k 1.2× 1.2k 1.5× 189 0.7× 200 1.4× 100 1.4× 39 2.0k
Mónica Muñoz-Torres United States 10 762 0.7× 398 0.5× 265 1.0× 172 1.2× 50 0.7× 19 1.2k
Henrik Bjørn Nielsen Denmark 15 1.1k 1.1× 1.3k 1.6× 143 0.5× 82 0.6× 67 1.0× 24 2.0k
Alex Warwick Vesztrocy Switzerland 9 806 0.8× 295 0.4× 215 0.8× 121 0.8× 54 0.8× 16 1.2k
Chen Zhang China 23 711 0.7× 894 1.1× 163 0.6× 77 0.5× 48 0.7× 101 1.7k
Mario Cáccamo United Kingdom 16 748 0.7× 423 0.5× 308 1.1× 217 1.5× 28 0.4× 21 1.4k

Countries citing papers authored by Robert Buels

Since Specialization
Citations

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

Fields of papers citing papers by Robert Buels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Buels

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Buels. A scholar is included among the top collaborators of Robert Buels 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 Robert Buels. Robert Buels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Diesh, Colin, Robert Buels, Garrett Stevens, et al.. (2024). Setting Up the JBrowse 2 Genome Browser. Current Protocols. 4(8). e1120–e1120. 1 indexed citations
2.
Diesh, Colin, Garrett Stevens, Peter Xie, et al.. (2023). JBrowse 2: a modular genome browser with views of synteny and structural variation. Genome biology. 24(1). 74–74. 128 indexed citations breakdown →
3.
Martinez, Teresa De Jesus, Elliot A. Hershberg, Garrett Stevens, et al.. (2023). JBrowse Jupyter: a Python interface to JBrowse 2. Bioinformatics. 39(1). 4 indexed citations
4.
Cain, Scott, Robin Haw, Caroline Bridge, et al.. (2022). Abstract 6400: JBrowse 2: An extensible open-source platform for modern genome analysis. Cancer Research. 82(12_Supplement). 6400–6400. 1 indexed citations
5.
Hershberg, Elliot A., Garrett Stevens, Colin Diesh, et al.. (2021). JBrowseR: an R interface to the JBrowse 2 genome browser. Bioinformatics. 37(21). 3914–3915. 13 indexed citations
6.
Yao, Eric, Robert Buels, Lincoln Stein, Taner Z. Sen, & Ian Holmes. (2020). JBrowse Connect: A server API to connect JBrowse instances and users. PLoS Computational Biology. 16(8). e1007261–e1007261. 2 indexed citations
7.
Buels, Robert, Shihab Dider, Colin Diesh, James Robinson, & Ian Holmes. (2019). Cram-JS: reference-based decompression in node and the browser. Bioinformatics. 35(21). 4451–4452. 2 indexed citations
8.
Unni, Deepak, Nathan Dunn, Eric Yao, et al.. (2017). GMOD/Apollo: Apollo2.1.0(JB#d3827c). Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
9.
Bolleman, Jerven, Chris Mungall, Francesco Strozzi, et al.. (2016). FALDO: a semantic standard for describing the location of nucleotide and protein feature annotation. Journal of Biomedical Semantics. 7(1). 39–39. 16 indexed citations
10.
Buels, Robert, Eric Yao, Colin Diesh, et al.. (2016). JBrowse: a dynamic web platform for genome visualization and analysis. Genome biology. 17(1). 66–66. 503 indexed citations breakdown →
11.
Helt, Gregg, Justin Reese, Mónica Muñoz-Torres, et al.. (2013). Web Apollo: a web-based genomic annotation editing platform. Genome biology. 14(8). 226 indexed citations
12.
Jung, Sook, Naama Menda, Seth Redmond, et al.. (2011). The Chado Natural Diversity module: a new generic database schema for large-scale phenotyping and genotyping data. Database. 2011(0). bar051–bar051. 32 indexed citations
13.
Bombarely, Aureliano, Naama Menda, Isaak Tecle, et al.. (2010). The Sol Genomics Network (solgenomics.net): growing tomatoes using Perl. Nucleic Acids Research. 39(Database). D1149–D1155. 207 indexed citations
14.
Tecle, Isaak, Naama Menda, Robert Buels, Esther van der Knaap, & Lukas A. Mueller. (2010). solQTL: a tool for QTL analysis, visualization and linking to genomes at SGN database. BMC Bioinformatics. 11(1). 525–525. 12 indexed citations
15.
Datema, Erwin, Lukas A. Mueller, Robert Buels, et al.. (2008). Comparative BAC end sequence analysis of tomato and potato reveals overrepresentation of specific gene families in potato. BMC Plant Biology. 8(1). 34–34. 27 indexed citations
16.
Menda, Naama, Robert Buels, Isaak Tecle, & Lukas A. Mueller. (2008). A Community-Based Annotation Framework for Linking Solanaceae Genomes with Phenomes. PLANT PHYSIOLOGY. 147(4). 1788–1799. 23 indexed citations
17.
Buels, Robert, et al.. (2008). The SGN comparative map viewer. Bioinformatics. 24(3). 422–423. 19 indexed citations
18.
Mueller, Lukas A., Nicolas L. Taylor, Robert Buels, et al.. (2005). The SOL Genomics Network. A Comparative Resource for Solanaceae Biology and Beyond. PLANT PHYSIOLOGY. 138(3). 1310–1317. 343 indexed citations

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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