Ryan J. Cecchi

1.3k total citations · 1 hit paper
7 papers, 865 citations indexed

About

Ryan J. Cecchi is a scholar working on Molecular Biology, Sociology and Political Science and Oncology. According to data from OpenAlex, Ryan J. Cecchi has authored 7 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Sociology and Political Science and 1 paper in Oncology. Recurrent topics in Ryan J. Cecchi's work include CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA Interference and Gene Delivery (2 papers). Ryan J. Cecchi is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (3 papers) and RNA Interference and Gene Delivery (2 papers). Ryan J. Cecchi collaborates with scholars based in United States, Denmark and United Kingdom. Ryan J. Cecchi's co-authors include Alejandro Chavez, George M. Church, James J. Collins, Marcelle Tuttle, Benjamin W. Pruitt, Raj Chari, Emma J. K. Kowal, Ben Ewen‐Campen, Benjamin E. Housden and Norbert Perrimon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Methods.

In The Last Decade

Ryan J. Cecchi

6 papers receiving 858 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.

Comparison of Cas9 activators in multiple species

2016 381 citations Alejandro Chavez, Marcelle Tuttle et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ryan J. Cecchi United States	5	770	143	76	68	56	7	865
Florence M. Chardon United States	8	742 1.0×	162 1.1×	123 1.6×	42 0.6×	59 1.1×	12	851
Namritha Ravinder United States	7	950 1.2×	242 1.7×	90 1.2×	63 0.9×	68 1.2×	11	1.0k
Martin Del Castillo Velasco‐Herrera United Kingdom	9	925 1.2×	161 1.1×	109 1.4×	63 0.9×	42 0.8×	14	1.1k
Wei Wen China	13	737 1.0×	198 1.4×	98 1.3×	69 1.0×	44 0.8×	18	803
Daniel J. Wiegand United States	6	1.3k 1.7×	204 1.4×	74 1.0×	122 1.8×	89 1.6×	6	1.4k
Rene H. Quintanilla United States	7	694 0.9×	155 1.1×	73 1.0×	32 0.5×	47 0.8×	11	757
Jason Potter United States	9	984 1.3×	297 2.1×	101 1.3×	66 1.0×	44 0.8×	12	1.1k
Lior Nissim Israel	9	628 0.8×	104 0.7×	92 1.2×	25 0.4×	57 1.0×	14	723
Mollie S. Schubert United States	6	559 0.7×	130 0.9×	55 0.7×	19 0.3×	58 1.0×	6	626

Countries citing papers authored by Ryan J. Cecchi

Since Specialization

Citations

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

Fields of papers citing papers by Ryan J. Cecchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan J. Cecchi

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan J. Cecchi. A scholar is included among the top collaborators of Ryan J. Cecchi 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 J. Cecchi. Ryan J. Cecchi 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:

7 of 7 papers shown

1.

Adams, Tamara S., et al.. (2023). Advanced Analytics Drives Reengineering of Field Operations for the 2020 U.S. Census. RePEc: Research Papers in Economics. 53(1). 47–58. 1 indexed citations

2.

Tung, Angela, Xiaoge Guo, Ryan J. Cecchi, et al.. (2021). Generation and Application of a Versatile CRISPR Toolkit for Mammalian Cell Engineering.

3.

Chavez, Alejandro, Benjamin W. Pruitt, Marcelle Tuttle, et al.. (2018). Precise Cas9 targeting enables genomic mutation prevention. Proceedings of the National Academy of Sciences. 115(14). 3669–3673. 26 indexed citations

4.

Guo, Xiaoge, Alejandro Chavez, Angela Tung, et al.. (2018). High-throughput creation and functional profiling of DNA sequence variant libraries using CRISPR–Cas9 in yeast. Nature Biotechnology. 36(6). 540–546. 70 indexed citations

5.

Yeo, Nan Cher, Alejandro Chavez, Yingleong Chan, et al.. (2018). An enhanced CRISPR repressor for targeted mammalian gene regulation. Nature Methods. 15(8). 611–616. 323 indexed citations

6.

Chavez, Alejandro, Marcelle Tuttle, Benjamin W. Pruitt, et al.. (2016). Comparison of Cas9 activators in multiple species. Nature Methods. 13(7). 563–567. 381 indexed citations breakdown →

7.

Tevis, Kristie M., Ryan J. Cecchi, Yolonda L. Colson, & Mark W. Grinstaff. (2016). Mimicking the tumor microenvironment to regulate macrophage phenotype and assessing chemotherapeutic efficacy in embedded cancer cell/macrophage spheroid models. Acta Biomaterialia. 50. 271–279. 64 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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