Robert Garces

1.2k total citations · 1 hit paper
8 papers, 995 citations indexed

About

Robert Garces is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Robert Garces has authored 8 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Epidemiology and 1 paper in Infectious Diseases. Recurrent topics in Robert Garces's work include Mitochondrial Function and Pathology (2 papers), Lipid Membrane Structure and Behavior (2 papers) and RNA modifications and cancer (1 paper). Robert Garces is often cited by papers focused on Mitochondrial Function and Pathology (2 papers), Lipid Membrane Structure and Behavior (2 papers) and RNA modifications and cancer (1 paper). Robert Garces collaborates with scholars based in United States, Canada and Sweden. Robert Garces's co-authors include Gerhard Wagner, Sebastian Hiller, T. Malia, Vladislav Orekhov, Marco Colombini, Jingyu Diao, Christopher D. Richardson, W. Gillon, E.F. Pai and Katherine A. Edmonds and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Robert Garces

8 papers receiving 984 citations

Hit Papers

Solution Structure of the Integral Human Membrane Protein... 2008 2026 2014 2020 2008 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 Garces United States 7 812 119 107 101 78 8 995
Craig W. Vander Kooi United States 11 969 1.2× 47 0.4× 183 1.7× 62 0.6× 54 0.7× 13 1.2k
Bertil Macao Sweden 17 942 1.2× 54 0.5× 74 0.7× 64 0.6× 20 0.3× 26 1.2k
Karol Fiedorczuk United States 11 1.2k 1.4× 31 0.3× 58 0.5× 58 0.6× 57 0.7× 14 1.5k
Jürgen Kast Germany 14 950 1.2× 162 1.4× 73 0.7× 135 1.3× 38 0.5× 20 1.4k
Joseph E. Coyle United States 12 787 1.0× 58 0.5× 67 0.6× 126 1.2× 321 4.1× 13 1.1k
Martin Soste Switzerland 14 803 1.0× 414 3.5× 72 0.7× 50 0.5× 49 0.6× 19 1.1k
Karol Kaszuba Finland 13 828 1.0× 28 0.2× 88 0.8× 29 0.3× 34 0.4× 17 980
Uthpala Seneviratne United States 13 482 0.6× 50 0.4× 69 0.6× 33 0.3× 89 1.1× 22 965
Aviv Paz Israel 18 594 0.7× 64 0.5× 73 0.7× 29 0.3× 19 0.2× 39 936
Edward Avezov United Kingdom 21 742 0.9× 69 0.6× 93 0.9× 190 1.9× 67 0.9× 36 1.3k

Countries citing papers authored by Robert Garces

Since Specialization
Citations

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

Fields of papers citing papers by Robert Garces

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Garces

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

All Works

8 of 8 papers shown
1.
Betz, Ulrich, Robert Garces, Norbert Beier, et al.. (2025). Open Source Repurposing Reveals Broad-Spectrum Antiviral Activity of Diphenylureas. Viruses. 17(3). 385–385. 1 indexed citations
2.
Eddy, Matthew T., Ta‐Chung Ong, Lindsay Clark, et al.. (2012). Lipid Dynamics and Protein–Lipid Interactions in 2D Crystals Formed with the β-Barrel Integral Membrane Protein VDAC1. Journal of the American Chemical Society. 134(14). 6375–6387. 60 indexed citations
3.
Hiller, Sebastian, T. Malia, Robert Garces, Vladislav Orekhov, & Gerhard Wagner. (2009). Backbone and ILV side chain methyl group assignments of the integral human membrane protein VDAC-1. Biomolecular NMR Assignments. 4(1). 29–32. 8 indexed citations
4.
Hiller, Sebastian, Robert Garces, T. Malia, et al.. (2008). Solution Structure of the Integral Human Membrane Protein VDAC-1 in Detergent Micelles. Science. 321(5893). 1206–1210. 546 indexed citations breakdown →
5.
Garces, Robert, Katherine A. Edmonds, Sebastian Hiller, et al.. (2008). PDCD4 inhibits translation initiation by binding to eIF4A using both its MA3 domains. Proceedings of the National Academy of Sciences. 105(9). 3274–3279. 124 indexed citations
6.
Garces, Robert, W. Gillon, & E.F. Pai. (2006). Atomic model of human Rcd‐1 reveals an armadillo‐like‐repeat protein with in vitro nucleic acid binding properties. Protein Science. 16(2). 176–188. 50 indexed citations
7.
Garces, Robert, Ning Wu, W. Gillon, & E.F. Pai. (2004). Anabaena circadian clock proteins KaiA and KaiB reveal a potential common binding site to their partner KaiC. The EMBO Journal. 23(8). 1688–1698. 69 indexed citations
8.
Diao, Jingyu, Robert Garces, & Christopher D. Richardson. (2001). X protein of hepatitis B virus modulates cytokine and growth factor related signal transduction pathways during the course of viral infections and hepatocarcinogenesis. Cytokine & Growth Factor Reviews. 12(2-3). 189–205. 137 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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