Ryan A. Pak

2.5k total citations · 2 hit papers
6 papers, 1.3k citations indexed

About

Ryan A. Pak is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Ryan A. Pak has authored 6 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Genetics. Recurrent topics in Ryan A. Pak's work include CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Viral Infections and Immunology Research (1 paper). Ryan A. Pak is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Viral Infections and Immunology Research (1 paper). Ryan A. Pak collaborates with scholars based in United States. Ryan A. Pak's co-authors include Jonathan S. Weissman, Luke A. Gilbert, Max A. Horlbeck, Jacqueline E. Villalta, Britt Adamson, Yuwen Chen, Martin Kampmann, Alexander P. Fields, Chong Yon Park and Jacob E. Corn and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Ryan A. Pak

6 papers receiving 1.3k citations

Hit Papers

align trajectories

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.

A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response

2016 690 citations Britt Adamson, Thomas M. Norman et al. Cell profile →
Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation

2016 512 citations Max A. Horlbeck, Luke A. Gilbert et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan A. Pak United States	6	1.1k	147	140	136	110	6	1.3k
Luis M. Soares United States	12	1.3k 1.1×	112 0.8×	90 0.6×	86 0.6×	44 0.4×	12	1.5k
Sharan Janjuha Switzerland	11	627 0.5×	132 0.9×	170 1.2×	80 0.6×	30 0.3×	14	832
Noa Sher Israel	8	907 0.8×	262 1.8×	64 0.5×	61 0.4×	44 0.4×	11	1.1k
Jiashun Zheng United States	16	1.3k 1.2×	96 0.7×	154 1.1×	165 1.2×	107 1.0×	23	1.6k
Matthias Muhar Austria	11	1.6k 1.4×	168 1.1×	140 1.0×	191 1.4×	137 1.2×	14	1.9k
Dara J. Dunican United Kingdom	11	731 0.6×	65 0.4×	77 0.6×	191 1.4×	54 0.5×	13	1.0k
Carla Mulas United Kingdom	16	1.5k 1.3×	99 0.7×	123 0.9×	151 1.1×	20 0.2×	19	1.7k
Ramya Raviram United States	18	1.5k 1.3×	175 1.2×	194 1.4×	45 0.3×	59 0.5×	22	1.7k
Tian Lu China	9	838 0.7×	113 0.8×	102 0.7×	38 0.3×	35 0.3×	17	1.0k
Dina A. Faddah United States	9	1.9k 1.6×	113 0.8×	180 1.3×	80 0.6×	30 0.3×	12	2.0k

Countries citing papers authored by Ryan A. Pak

Since Specialization

Citations

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

Fields of papers citing papers by Ryan A. Pak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan A. Pak

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Koster, Anna K., Oleg Yarishkin, Adrienne E. Dubin, et al.. (2024). Chemical mapping of the surface interactome of PIEZO1 identifies CADM1 as a modulator of channel inactivation. Proceedings of the National Academy of Sciences. 121(41). e2415934121–e2415934121. 10 indexed citations

2.

Replogle, Joseph M., Jessica L. Bonnar, Angela N. Pogson, et al.. (2022). Maximizing CRISPRi efficacy and accessibility with dual-sgRNA libraries and optimal effectors. eLife. 11. 52 indexed citations

3.

Zhang, Yaru, Marco Jost, Ryan A. Pak, et al.. (2022). Adaptive exchange sustains cullin–RING ubiquitin ligase networks and proper licensing of DNA replication. Proceedings of the National Academy of Sciences. 119(36). e2205608119–e2205608119. 16 indexed citations

4.

Horlbeck, Max A., Luke A. Gilbert, Jacqueline E. Villalta, et al.. (2016). Compact and highly active next-generation libraries for CRISPR-mediated gene repression and activation. eLife. 5. 512 indexed citations breakdown →

5.

Shang, Yulei, Stephanie Redmond, Anatoly Urisman, et al.. (2016). Activation of HIPK2 Promotes ER Stress-Mediated Neurodegeneration in Amyotrophic Lateral Sclerosis. Neuron. 91(1). 41–55. 64 indexed citations

6.

Adamson, Britt, Thomas M. Norman, Marco Jost, et al.. (2016). A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response. Cell. 167(7). 1867–1882.e21. 690 indexed citations breakdown →

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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