Kyle S. Sanchez

1.1k total citations · 1 hit paper
6 papers, 428 citations indexed

About

Kyle S. Sanchez is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Kyle S. Sanchez has authored 6 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Biophysics. Recurrent topics in Kyle S. Sanchez's work include Computational Drug Discovery Methods (4 papers), Cell Image Analysis Techniques (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Kyle S. Sanchez is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Cell Image Analysis Techniques (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). Kyle S. Sanchez collaborates with scholars based in United States. Kyle S. Sanchez's co-authors include Trey Ideker, Jason F. Kreisberg, Samson Fong, Jisoo Park, Brent M. Kuenzi, John J. Y. Lee, Jianzhu Ma, Wei Zhang, Justin K. Huang and John Paul Shen and has published in prestigious journals such as Nature Genetics, Cancer Cell and Cancer Research.

In The Last Decade

Kyle S. Sanchez

6 papers receiving 419 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.

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

2020 285 citations Brent M. Kuenzi, Jisoo Park et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kyle S. Sanchez United States	4	291	135	92	48	42	6	428
John J. Y. Lee Canada	6	195 0.7×	134 1.0×	59 0.6×	26 0.5×	45 1.1×	10	345
Yuqi Wen China	15	432 1.5×	223 1.7×	60 0.7×	47 1.0×	47 1.1×	48	619
Jouhyun Jeon Canada	10	266 0.9×	66 0.5×	107 1.2×	31 0.6×	33 0.8×	15	439
Vasileios Stathias United States	10	388 1.3×	200 1.5×	93 1.0×	85 1.8×	31 0.7×	21	644
Somayah Albaradei Saudi Arabia	11	361 1.2×	263 1.9×	60 0.7×	41 0.9×	69 1.6×	28	604
Peiran Jiang China	9	369 1.3×	124 0.9×	50 0.5×	31 0.6×	76 1.8×	12	583
Weikaixin Kong China	10	251 0.9×	118 0.9×	67 0.7×	40 0.8×	13 0.3×	26	368
Suleiman A. Khan Finland	12	255 0.9×	150 1.1×	50 0.5×	20 0.4×	47 1.1×	24	386
George Alexandru Adam Canada	3	117 0.4×	92 0.7×	42 0.5×	27 0.6×	41 1.0×	4	242
Mingkun Lu China	9	224 0.8×	114 0.8×	43 0.5×	23 0.5×	20 0.5×	16	346

Countries citing papers authored by Kyle S. Sanchez

Since Specialization

Citations

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

Fields of papers citing papers by Kyle S. Sanchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle S. Sanchez. 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 Kyle S. Sanchez. The network helps show where Kyle S. Sanchez may publish in the future.

Co-authorship network of co-authors of Kyle S. Sanchez

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

All Works

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6 of 6 papers shown

1.

Fong, Samson, Brent M. Kuenzi, John J. Y. Lee, et al.. (2024). A multilineage screen identifies actionable synthetic lethal interactions in human cancers. Nature Genetics. 57(1). 154–164. 5 indexed citations

2.

Fong, Samson, Brent M. Kuenzi, J. Jack Lee, et al.. (2021). Abstract 2133: Systematic mapping of genetic interactions in human cancer cells reveals context dependent cancer signaling pathways. Cancer Research. 81(13_Supplement). 2133–2133. 1 indexed citations

3.

Kuenzi, Brent M., Jisoo Park, Samson Fong, et al.. (2020). Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells. Cancer Cell. 38(5). 672–684.e6. 285 indexed citations breakdown →

4.

Kuenzi, Brent M., Jisoo Park, Samson Fong, et al.. (2020). Abstract 1925: DrugCell: A visible neural network to guide personalized medicine. Cancer Research. 80(16_Supplement). 1925–1925. 2 indexed citations

5.

Bui, Nam Q., Justin K. Huang, Ana Bojorquez-Gomez, et al.. (2018). Disruption of NSD1 in Head and Neck Cancer Promotes Favorable Chemotherapeutic Responses Linked to Hypomethylation. Molecular Cancer Therapeutics. 17(7). 1585–1594. 50 indexed citations

6.

Zhang, Wei, Ana Bojorquez-Gomez, Daniel Ortiz Velez, et al.. (2018). A global transcriptional network connecting noncoding mutations to changes in tumor gene expression. Nature Genetics. 50(4). 613–620. 85 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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