Ryan T. Bell

1.0k total citations · 1 hit paper
7 papers, 609 citations indexed

About

Ryan T. Bell is a scholar working on Molecular Biology, Genetics and Aging. According to data from OpenAlex, Ryan T. Bell has authored 7 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Aging. Recurrent topics in Ryan T. Bell's work include CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Ryan T. Bell is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA modifications and cancer (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Ryan T. Bell collaborates with scholars based in United States, Jordan and Argentina. Ryan T. Bell's co-authors include Becky Xu Hua Fu, Andrew Fire, Joshua A. Arribere, Phil S. Hartman, Karen L. Artiles, Yuri I. Wolf, Eugene V. Koonin, Marina Muzzio, Carlos D. Bustamante and Cláudio M. Bravi and has published in prestigious journals such as Genetics, PLoS Genetics and eLife.

In The Last Decade

Ryan T. Bell

6 papers receiving 601 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.

Efficient Marker-Free Recovery of Custom Genetic Modifications with CRISPR/Cas9 in Caenorhabditis elegans

2014 546 citations Joshua A. Arribere, Ryan T. Bell et al. Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan T. Bell United States	5	460	393	110	86	58	7	609
Becky Xu Hua Fu United States	10	720 1.6×	420 1.1×	135 1.2×	89 1.0×	58 1.0×	16	871
Margaret MacMorris United States	19	650 1.4×	420 1.1×	77 0.7×	76 0.9×	91 1.6×	22	891
Rock Pulak United States	6	671 1.5×	313 0.8×	51 0.5×	53 0.6×	42 0.7×	9	851
Mara Schvarzstein United States	13	459 1.0×	343 0.9×	113 1.0×	124 1.4×	52 0.9×	17	639
Caroline A. Spike United States	14	589 1.3×	536 1.4×	162 1.5×	91 1.1×	110 1.9×	19	836
Laura D. Mathies United States	14	534 1.2×	255 0.6×	173 1.6×	58 0.7×	50 0.9×	29	749
Peishan Yi China	15	411 0.9×	196 0.5×	137 1.2×	153 1.8×	45 0.8×	22	555
Eillen Tecle United States	10	245 0.5×	175 0.4×	57 0.5×	96 1.1×	61 1.1×	13	477
Rebecca M. Fox United States	9	418 0.9×	377 1.0×	45 0.4×	121 1.4×	109 1.9×	10	700
Decai Mao China	9	638 1.4×	123 0.3×	131 1.2×	69 0.8×	32 0.6×	13	819

Countries citing papers authored by Ryan T. Bell

Since Specialization

Citations

This map shows the geographic impact of Ryan T. Bell'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 T. Bell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Bell more than expected).

Fields of papers citing papers by Ryan T. Bell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan T. Bell

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

All Works

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7 of 7 papers shown

1.

Haddad, Nizar, Rajesh Patidar, Ryan T. Bell, et al.. (2025). The Alia Camel of Jordan: a genetically distinct dromedary breed. Journal of Heredity. 116(4). 435–440. 1 indexed citations

2.

Bell, Ryan T., et al.. (2024). CoCoNuTs are a diverse subclass of Type IV restriction systems predicted to target RNA. eLife. 13. 5 indexed citations

3.

Bell, Ryan T., et al.. (2024). CoCoNuTs are a diverse subclass of Type IV restriction systems predicted to target RNA. eLife. 13. 1 indexed citations

4.

Bell, Ryan T., Yuri I. Wolf, & Eugene V. Koonin. (2020). Modified base-binding EVE and DCD domains: striking diversity of genomic contexts in prokaryotes and predicted involvement in a variety of cellular processes. BMC Biology. 18(1). 159–159. 9 indexed citations

5.

Cooke, Thomas F., Muh‐Ching Yee, Marina Muzzio, et al.. (2016). GBStools: A Statistical Method for Estimating Allelic Dropout in Reduced Representation Sequencing Data. PLoS Genetics. 12(2). e1005631–e1005631. 27 indexed citations

6.

Bell, Ryan T., Becky Xu Hua Fu, & Andrew Fire. (2015). Cas9 Variants Expand the Target Repertoire in Caenorhabditis elegans. Genetics. 202(2). 381–388. 20 indexed citations

7.

Arribere, Joshua A., Ryan T. Bell, Becky Xu Hua Fu, et al.. (2014). Efficient Marker-Free Recovery of Custom Genetic Modifications with CRISPR/Cas9 in Caenorhabditis elegans. Genetics. 198(3). 837–846. 546 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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