Ryan D. Kibler

1.2k total citations · 3 hit papers
15 papers, 616 citations indexed

About

Ryan D. Kibler is a scholar working on Molecular Biology, Biomaterials and Pollution. According to data from OpenAlex, Ryan D. Kibler has authored 15 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Biomaterials and 2 papers in Pollution. Recurrent topics in Ryan D. Kibler's work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Bacteriophages and microbial interactions (2 papers). Ryan D. Kibler is often cited by papers focused on Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Bacteriophages and microbial interactions (2 papers). Ryan D. Kibler collaborates with scholars based in United States, United Kingdom and Mexico. Ryan D. Kibler's co-authors include David Baker, Anna Kuchina, Matthew Hirano, Charles M. Roco, Alexander Rosenberg, R. William DePaolo, Alberto Carignano, Georg Seelig, Leandra Brettner and Basile I. M. Wicky and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Ryan D. Kibler

14 papers receiving 608 citations

Hit Papers

Microbial single-cell RNA sequencing by split-pool barcoding 2020 2026 2022 2024 2021 2020 2022 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Microbial single-cell RNA sequencing by split-pool barcoding
    2021 183 citations Anna Kuchina, Leandra Brettner et al. Science profile →
  2. De novo design of protein logic gates
    2020 158 citations Zibo Chen, Ryan D. Kibler et al. Science profile →
  3. Hallucinating symmetric protein assemblies
    2022 113 citations Basile I. M. Wicky, Lukas F. Milles et al. Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan D. Kibler United States 9 461 74 72 57 51 15 616
Tiago Q. Faria Portugal 16 469 1.0× 50 0.7× 49 0.7× 96 1.7× 59 1.2× 28 661
Stéphane Bernatchez Canada 12 307 0.7× 69 0.9× 93 1.3× 49 0.9× 38 0.7× 13 698
Anne Spriestersbach Germany 7 536 1.2× 68 0.9× 39 0.5× 94 1.6× 37 0.7× 9 713
Nagasundarapandian Soundrarajan South Korea 13 459 1.0× 38 0.5× 49 0.7× 74 1.3× 39 0.8× 30 623
Andreja Majerle Slovenia 13 504 1.1× 31 0.4× 53 0.7× 41 0.7× 58 1.1× 20 708
Lisa M. Willis Canada 14 473 1.0× 50 0.7× 117 1.6× 98 1.7× 15 0.3× 25 792
Yuanxing Zhang China 20 473 1.0× 172 2.3× 80 1.1× 120 2.1× 25 0.5× 43 910
Cristina Aranda Mexico 15 545 1.2× 57 0.8× 60 0.8× 116 2.0× 61 1.2× 25 936
Vaibhav Upadhyay United States 9 444 1.0× 38 0.5× 55 0.8× 75 1.3× 21 0.4× 18 605
Alexandre Cassago Brazil 14 429 0.9× 30 0.4× 27 0.4× 40 0.7× 46 0.9× 23 748

Countries citing papers authored by Ryan D. Kibler

Since Specialization
Citations

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

Fields of papers citing papers by Ryan D. Kibler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan D. Kibler. 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 Ryan D. Kibler. The network helps show where Ryan D. Kibler may publish in the future.

Co-authorship network of co-authors of Ryan D. Kibler

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

All Works

15 of 15 papers shown
1.
Wang, Shunzhi, Ryan D. Kibler, Andrew J. Borst, et al.. (2025). Bond-centric modular design of protein assemblies. Nature Materials. 24(10). 1644–1652. 1 indexed citations
2.
Rankovic, Sanela, Justin Decarreau, Ryan D. Kibler, et al.. (2025). Computational design of bifaceted protein nanomaterials. Nature Materials. 24(10). 1635–1643.
3.
Gregorio, Nicole E., Fan Zhang, Ryan D. Kibler, et al.. (2024). Genetically Encoded XTEN‐based Hydrogels with Tunable Viscoelasticity and Biodegradability for Injectable Cell Therapies. Advanced Science. 11(24). e2301708–e2301708. 16 indexed citations
4.
Lee, Sangmin, Ryan D. Kibler, Green Ahn, et al.. (2024). Four-component protein nanocages designed by programmed symmetry breaking. Nature. 638(8050). 546–552. 16 indexed citations
5.
Kibler, Ryan D., Sangmin Lee, Basile I. M. Wicky, et al.. (2024). Design of pseudosymmetric protein hetero-oligomers. Nature Communications. 15(1). 10684–10684. 5 indexed citations
6.
Doyle, Lindsey, Ryan D. Kibler, Lukas F. Milles, et al.. (2023). De novo design of knotted tandem repeat proteins. Nature Communications. 14(1). 6746–6746. 10 indexed citations
7.
Bethel, Neville P., Andrew J. Borst, Fabio Parmeggiani, et al.. (2023). Precisely patterned nanofibres made from extendable protein multiplexes. Nature Chemistry. 15(12). 1664–1671. 17 indexed citations
8.
Kibler, Ryan D., et al.. (2023). Elucidation of the Photochemical Fate of Methionine in the Presence of Surrogate and Standard Dissolved Organic Matter under Sunlight Irradiation. Environmental Science & Technology. 57(38). 14363–14372. 4 indexed citations
9.
Wicky, Basile I. M., Lukas F. Milles, Alexis Courbet, et al.. (2022). Hallucinating symmetric protein assemblies. Science. 378(6615). 56–61. 113 indexed citations breakdown →
10.
Nguyen, Taylor H., Galen Dods, Mariana Gómez-Schiavon, et al.. (2022). Competitive Displacement of De Novo Designed HeteroDimers Can Reversibly Control Protein–Protein Interactions and Implement Feedback in Synthetic Circuits. 1(1). 91–100. 2 indexed citations
11.
Kuchina, Anna, Leandra Brettner, Charles M. Roco, et al.. (2021). Microbial single-cell RNA sequencing by split-pool barcoding. Science. 371(6531). 183 indexed citations breakdown →
12.
Cockburn, Darrell, Ryan D. Kibler, Haley A. Brown, et al.. (2021). Structure and substrate recognition by the Ruminococcus bromii amylosome pullulanases. Journal of Structural Biology. 213(3). 107765–107765. 10 indexed citations
13.
Chen, Zibo, Ryan D. Kibler, Andrew C. Hunt, et al.. (2020). De novo design of protein logic gates. Science. 368(6486). 78–84. 158 indexed citations breakdown →
14.
Kibler, Ryan D., et al.. (2020). Group Contribution Method to Predict the Mass Transfer Coefficients of Organics through Various RO Membranes. Environmental Science & Technology. 54(8). 5167–5177. 7 indexed citations
15.
Mukhopadhya, Indrani, Sarah Moraïs, Jenny A. Laverde-Gomez, et al.. (2017). Sporulation capability and amylosome conservation among diverse human colonic and rumen isolates of the keystone starch‐degrader Ruminococcus bromii. Environmental Microbiology. 20(1). 324–336. 74 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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