Simon P. Shen

768 total citations · 1 hit paper
5 papers, 521 citations indexed

About

Simon P. Shen is a scholar working on Molecular Biology, Clinical Biochemistry and Media Technology. According to data from OpenAlex, Simon P. Shen has authored 5 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Clinical Biochemistry and 2 papers in Media Technology. Recurrent topics in Simon P. Shen's work include Bacterial Identification and Susceptibility Testing (2 papers), CRISPR and Genetic Engineering (2 papers) and Image Processing Techniques and Applications (2 papers). Simon P. Shen is often cited by papers focused on Bacterial Identification and Susceptibility Testing (2 papers), CRISPR and Genetic Engineering (2 papers) and Image Processing Techniques and Applications (2 papers). Simon P. Shen collaborates with scholars based in United States. Simon P. Shen's co-authors include James W. Nelson, Andrew V. Anzalone, Peter J. Chen, Kelcee A. Everette, Alvin Hsu, Meirui An, Peyton B. Randolph, Gregory A. Newby, David Liu and Jonathan C. Chen and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Review of Scientific Instruments.

In The Last Decade

Simon P. Shen

5 papers receiving 511 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.

Engineered pegRNAs improve prime editing efficiency

2021 463 citations James W. Nelson, Peyton B. Randolph et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon P. Shen United States	4	460	121	62	31	30	5	521
Saman Majeed United States	5	354 0.8×	76 0.6×	48 0.8×	32 1.0×	29 1.0×	12	405
James R. Rybarski United States	7	505 1.1×	59 0.5×	51 0.8×	39 1.3×	28 0.9×	13	537
Maximiliaan Huisman United States	6	541 1.2×	65 0.5×	64 1.0×	20 0.6×	33 1.1×	13	582
Younggwang Kim South Korea	6	593 1.3×	116 1.0×	50 0.8×	12 0.4×	51 1.7×	10	632
James Y.S. Kim United States	2	397 0.9×	81 0.7×	37 0.6×	13 0.4×	20 0.7×	2	442
Anthony J. Garrity United States	4	521 1.1×	63 0.5×	45 0.7×	42 1.4×	54 1.8×	5	567
Eric J. Aird United States	7	268 0.6×	80 0.7×	47 0.8×	12 0.4×	18 0.6×	10	303
Julia Fakhiri Germany	10	392 0.9×	181 1.5×	34 0.5×	17 0.5×	48 1.6×	13	485
Maria S. Tikhomirova Russia	6	517 1.1×	96 0.8×	27 0.4×	26 0.8×	69 2.3×	11	570
Laetitia Maroc Canada	7	419 0.9×	77 0.6×	49 0.8×	19 0.6×	20 0.7×	10	516

Countries citing papers authored by Simon P. Shen

Since Specialization

Citations

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

Fields of papers citing papers by Simon P. Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon P. Shen. 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 Simon P. Shen. The network helps show where Simon P. Shen may publish in the future.

Co-authorship network of co-authors of Simon P. Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Simon P. Shen. A scholar is included among the top collaborators of Simon P. Shen 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 Simon P. Shen. Simon P. Shen 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.

Roh, Heejin, Simon P. Shen, Hui Si Kwok, et al.. (2025). Coupling CRISPR scanning with targeted chromatin accessibility profiling using a double-stranded DNA deaminase. Nature Methods. 22(10). 2083–2093. 1 indexed citations

2.

Nelson, James W., Peyton B. Randolph, Simon P. Shen, et al.. (2021). Engineered pegRNAs improve prime editing efficiency. Nature Biotechnology. 40(3). 402–410. 463 indexed citations breakdown →

3.

Shen, Simon P., Hua-an Tseng, Kyle Hansen, et al.. (2018). Automatic Cell Segmentation by Adaptive Thresholding (ACSAT) for Large-Scale Calcium Imaging Datasets. eNeuro. 5(5). ENEURO.0056–18.2018. 18 indexed citations

4.

Syal, Karan, Simon P. Shen, Yunze Yang, et al.. (2017). Rapid Antibiotic Susceptibility Testing of Uropathogenic E. coli by Tracking Submicron Scale Motion of Single Bacterial Cells. ACS Sensors. 2(8). 1231–1239. 35 indexed citations

5.

Shen, Simon P., Karan Syal, Nongjian Tao, & Shaopeng Wang. (2015). Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions. Review of Scientific Instruments. 86(12). 126104–126104. 4 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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