Ryan Conder

2.8k total citations · 1 hit paper
11 papers, 1.9k citations indexed

About

Ryan Conder is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ryan Conder has authored 11 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ryan Conder's work include Neurobiology and Insect Physiology Research (4 papers), Developmental Biology and Gene Regulation (4 papers) and Cellular Mechanics and Interactions (4 papers). Ryan Conder is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Developmental Biology and Gene Regulation (4 papers) and Cellular Mechanics and Interactions (4 papers). Ryan Conder collaborates with scholars based in Canada, Austria and Singapore. Ryan Conder's co-authors include Martin Ståhl, Patricia Prado, Vanessa Monteil, Alì Mirazimi, Carmen Hurtado del Pozo, Reiner Wimmer, Juan P. Romero, Hyesoo Kwon, Haibo Zhang and Núria Montserrat and has published in prestigious journals such as Cell, Development and Journal of Cell Science.

In The Last Decade

Ryan Conder

10 papers receiving 1.9k citations

Hit Papers

Inhibition of SARS-CoV-2 Infections in Engineered Human T... 2020 2026 2022 2024 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Conder Canada 9 1.2k 551 416 221 173 11 1.9k
Astrid Hagelkrüys Austria 12 1.2k 1.0× 827 1.5× 417 1.0× 162 0.7× 200 1.2× 21 2.1k
Anna C. Aschenbrenner Germany 16 452 0.4× 496 0.9× 199 0.5× 710 3.2× 127 0.7× 26 1.7k
Gustavo Garcia United States 16 604 0.5× 324 0.6× 247 0.6× 182 0.8× 97 0.6× 31 1.2k
Adam S. Cockrell United States 20 565 0.5× 647 1.2× 52 0.1× 285 1.3× 86 0.5× 38 1.7k
Hong-Long Ji United States 26 271 0.2× 1.3k 2.4× 114 0.3× 157 0.7× 118 0.7× 50 2.2k
Florence Vallelian Switzerland 25 259 0.2× 738 1.3× 173 0.4× 974 4.4× 87 0.5× 56 2.6k
Shu Wan China 12 331 0.3× 247 0.4× 135 0.3× 77 0.3× 51 0.3× 38 901
Ye Cui China 18 531 0.4× 261 0.5× 63 0.2× 126 0.6× 150 0.9× 67 1.3k
Francesco Ria Italy 29 338 0.3× 681 1.2× 180 0.4× 1.3k 6.0× 278 1.6× 84 2.6k
Bo Gong China 20 225 0.2× 663 1.2× 64 0.2× 59 0.3× 91 0.5× 113 1.5k

Countries citing papers authored by Ryan Conder

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Conder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan Conder

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

All Works

11 of 11 papers shown
1.
Ståhl, Martin, Wing Y. Chang, Sharon A. Louis, et al.. (2021). Culture Methods to Study Apical-Specific Interactions using Intestinal Organoid Models. Journal of Visualized Experiments. 3 indexed citations
2.
Ståhl, Martin, Wing Y. Chang, Sharon A. Louis, et al.. (2021). Culture Methods to Study Apical-Specific Interactions using Intestinal Organoid Models. Journal of Visualized Experiments. 19 indexed citations
3.
Monteil, Vanessa, Hyesoo Kwon, Patricia Prado, et al.. (2020). Inhibition of SARS-CoV-2 Infections in Engineered Human Tissues Using Clinical-Grade Soluble Human ACE2. Cell. 181(4). 905–913.e7. 1538 indexed citations breakdown →
4.
Clevers, Hans, Ryan Conder, Vivian Li, et al.. (2019). Tissue-Engineering the Intestine: The Trials before the Trials. Cell stem cell. 24(6). 855–859. 35 indexed citations
6.
Berger, Christian, et al.. (2013). FACS purification of Drosophila larval neuroblasts for next-generation sequencing. Nature Protocols. 8(6). 1088–1099. 47 indexed citations
7.
Goulas, Spyros, Ryan Conder, & Juergen A. Knoblich. (2012). The Par Complex and Integrins Direct Asymmetric Cell Division in Adult Intestinal Stem Cells. Cell stem cell. 11(4). 529–540. 152 indexed citations
9.
Bahri, Sami, Simon Wang, Ryan Conder, et al.. (2010). The leading edge during dorsal closure as a model for epithelial plasticity: Pak is required for recruitment of the Scribble complex and septate junction formation. Development. 137(12). 2023–2032. 54 indexed citations
11.
Conder, Ryan, Hong Yu, Michael G. Ricos, et al.. (2004). dPak is required for integrity of the leading edge cytoskeleton during Drosophila dorsal closure but does not signal through the JNK cascade. Developmental Biology. 276(2). 378–390. 26 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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