Christopher D. Guzman

2.5k total citations · 1 hit paper
5 papers, 1.8k citations indexed

About

Christopher D. Guzman is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Christopher D. Guzman has authored 5 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Oncology. Recurrent topics in Christopher D. Guzman's work include CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (1 paper) and interferon and immune responses (1 paper). Christopher D. Guzman is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (1 paper) and interferon and immune responses (1 paper). Christopher D. Guzman collaborates with scholars based in United States, Switzerland and Japan. Christopher D. Guzman's co-authors include George M. Church, Alejandro Chavez, Jonathan Scheiman, Benjamin W. Pruitt, Daniel J. Wiegand, Noah Davidsohn, John Aach, Suhani Vora, Eswar Prasad R. Iyer and Samira Kiani and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Neuroscience.

In The Last Decade

Christopher D. Guzman

5 papers receiving 1.8k 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.

Highly efficient Cas9-mediated transcriptional programming

2015 1.2k citations Alejandro Chavez, Jonathan Scheiman 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
Christopher D. Guzman United States	5	1.6k	312	266	144	142	5	1.8k
Marcelle Tuttle United States	6	2.1k 1.3×	358 1.1×	124 0.5×	72 0.5×	209 1.5×	13	2.2k
Michael C. Bassik United States	2	1.8k 1.1×	286 0.9×	131 0.5×	81 0.6×	128 0.9×	2	1.9k
Suhani Vora United States	5	1.6k 1.0×	247 0.8×	109 0.4×	61 0.4×	155 1.1×	6	1.7k
Quan Ho United States	6	1.4k 0.8×	266 0.9×	141 0.5×	55 0.4×	105 0.7×	6	1.6k
Sowmya Iyer United States	14	2.0k 1.2×	465 1.5×	158 0.6×	159 1.1×	88 0.6×	18	2.2k
Shaohua Yao China	21	1.1k 0.6×	281 0.9×	114 0.4×	73 0.5×	38 0.3×	58	1.3k
Heon Seok Kim South Korea	14	1.7k 1.1×	471 1.5×	94 0.4×	59 0.4×	149 1.0×	24	1.9k
Russell C. DeKelver United States	15	2.0k 1.2×	673 2.2×	179 0.7×	60 0.4×	47 0.3×	29	2.2k
Chul‐Yong Park South Korea	20	866 0.5×	237 0.8×	192 0.7×	57 0.4×	51 0.4×	27	1.2k
Jenna Persson Sweden	9	1.2k 0.7×	291 0.9×	166 0.6×	41 0.3×	58 0.4×	10	1.2k

Countries citing papers authored by Christopher D. Guzman

Since Specialization

Citations

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

Fields of papers citing papers by Christopher D. Guzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher D. Guzman

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

All Works

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5 of 5 papers shown

1.

Dong, Matthew B., Guangchuan Wang, Ryan D. Chow, et al.. (2019). Systematic Immunotherapy Target Discovery Using Genome-Scale In Vivo CRISPR Screens in CD8 T Cells. Cell. 178(5). 1189–1204.e23. 213 indexed citations

2.

Wang, Guangchuan, Ryan D. Chow, Lupeng Ye, et al.. (2018). Mapping a functional cancer genome atlas of tumor suppressors in mouse liver using AAV-CRISPR–mediated direct in vivo screening. Science Advances. 4(2). eaao5508–eaao5508. 72 indexed citations

3.

Chow, Ryan D., Christopher D. Guzman, Guangchuan Wang, et al.. (2017). AAV-mediated direct in vivo CRISPR screen identifies functional suppressors in glioblastoma. Nature Neuroscience. 20(10). 1329–1341. 175 indexed citations

4.

Rogers, Jameson K., et al.. (2015). Synthetic biosensors for precise gene control and real-time monitoring of metabolites. Nucleic Acids Research. 43(15). 7648–7660. 174 indexed citations

5.

Chavez, Alejandro, Jonathan Scheiman, Suhani Vora, et al.. (2015). Highly efficient Cas9-mediated transcriptional programming. Nature Methods. 12(4). 326–328. 1183 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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