Yen Low

1.1k total citations · 1 hit paper
16 papers, 733 citations indexed

About

Yen Low is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Yen Low has authored 16 papers receiving a total of 733 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 3 papers in Surgery. Recurrent topics in Yen Low's work include Computational Drug Discovery Methods (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Yen Low is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Biomedical Text Mining and Ontologies (3 papers). Yen Low collaborates with scholars based in United States, Ukraine and Singapore. Yen Low's co-authors include Alexander Tropsha, Alexander Sedykh, Ivan Rusyn, Denis Fourches, Nigam H. Shah, Eugene Muratov, Rave Harpaz, Paea LePendu, Kenneth Jung and Sam Finlayson and has published in prestigious journals such as Cell, Journal of Clinical Oncology and Green Chemistry.

In The Last Decade

Yen Low

15 papers receiving 715 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.

A widely distributed gene cluster compensates for uricase loss in hominids

2023 75 citations Yuanyuan Liu, John B. Jarman et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yen Low United States	11	345	304	97	76	76	16	733
R. Benz United States	24	581 1.7×	343 1.1×	209 2.2×	157 2.1×	79 1.0×	50	1.5k
Mohamed Diwan M. AbdulHameed United States	19	284 0.8×	367 1.2×	96 1.0×	10 0.1×	28 0.4×	39	750
Jens Loesel United Kingdom	6	489 1.4×	403 1.3×	166 1.7×	17 0.2×	22 0.3×	7	885
Shraddha Thakkar United States	18	423 1.2×	359 1.2×	381 3.9×	39 0.5×	79 1.0×	43	1.3k
Jinghai J. Xu United States	14	388 1.1×	548 1.8×	715 7.4×	57 0.8×	20 0.3×	23	1.8k
Katya Tsaioun United States	13	132 0.4×	215 0.7×	69 0.7×	64 0.8×	6 0.1×	34	776
Vishal B. Siramshetty United States	16	488 1.4×	443 1.5×	108 1.1×	31 0.4×	19 0.3×	24	848
Heather L. Ciallella United States	8	277 0.8×	168 0.6×	36 0.4×	35 0.5×	24 0.3×	11	460
Kevin P. Cross United States	18	343 1.0×	260 0.9×	56 0.6×	53 0.7×	16 0.2×	41	735
Iurii Sushko Germany	6	523 1.5×	265 0.9×	61 0.6×	27 0.4×	14 0.2×	13	709

Countries citing papers authored by Yen Low

Since Specialization

Citations

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

Fields of papers citing papers by Yen Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yen Low. 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 Yen Low. The network helps show where Yen Low may publish in the future.

Co-authorship network of co-authors of Yen Low

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

16 of 16 papers shown

Hui, Gavin, Yen Low, Saurabh Gombar, et al.. (2024). Real world evidence comparison of first-line (1L) immune-oncology(IO)/tyrosine kinase inhibitor (TKI) vs. IO/IO combination therapy in renal cell carcinoma (RCC).. Journal of Clinical Oncology. 42(4_suppl). 402–402. 1 indexed citations

Liu, Yuanyuan, John B. Jarman, Yen Low, et al.. (2023). A widely distributed gene cluster compensates for uricase loss in hominids. Cell. 186(16). 3400–3413.e20. 75 indexed citations breakdown →

Low, Yen, Vinícius M. Alves, Denis Fourches, et al.. (2018). Chemistry-Wide Association Studies (CWAS): A Novel Framework for Identifying and Interpreting Structure–Activity Relationships. Journal of Chemical Information and Modeling. 58(11). 2203–2213. 4 indexed citations

Low, Yen, Aaron C. Daugherty, Elizabeth A. Schroeder, et al.. (2016). Synergistic drug combinations from electronic health records and gene expression. Journal of the American Medical Informatics Association. 24(3). 565–576. 8 indexed citations

Alves, Vinícius M., Eugene Muratov, Stephen J. Capuzzi, et al.. (2016). Alarms about structural alerts. Green Chemistry. 18(16). 4348–4360. 93 indexed citations

Afghahi, Anosheh, Maya B. Mathur, Tina Seto, et al.. (2015). Lymphopenia after adjuvant radiotherapy (RT) to predict poor survival in triple-negative breast cancer (TNBC).. Journal of Clinical Oncology. 33(15_suppl). 1069–1069. 10 indexed citations

Low, Yen, Blanca Gallego, & Nigam H. Shah. (2015). Comparing high-dimensional confounder control methods for rapid cohort studies from electronic health records. Journal of Comparative Effectiveness Research. 5(2). 179–192. 17 indexed citations

Low, Yen, Ola Caster, Tomas Bergvall, et al.. (2015). Cheminformatics-aided pharmacovigilance: application to Stevens-Johnson Syndrome. Journal of the American Medical Informatics Association. 23(5). 968–978. 11 indexed citations

Harpaz, Rave, Alison Callahan, Suzanne Tamang, et al.. (2014). Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art. Drug Safety. 37(10). 777–790. 164 indexed citations

10.

Low, Yen, Alexander Sedykh, Ivan Rusyn, & Alexander Tropsha. (2014). Integrative Approaches for Predicting In Vivo Effects of Chemicals from their Structural Descriptors and the Results of Short-Term Biological Assays. Current Topics in Medicinal Chemistry. 14(11). 1356–1364. 10 indexed citations

11.

Low, Yen, N. Armstrong, Sara A. Sun, et al.. (2014). Repurposing cAMP-Modulating Medications to Promote β-Cell Replication. Molecular Endocrinology. 28(10). 1682–1697. 28 indexed citations

12.

Low, Yen, Alexander Sedykh, Denis Fourches, et al.. (2013). Integrative Chemical–Biological Read-Across Approach for Chemical Hazard Classification. Chemical Research in Toxicology. 26(8). 1199–1208. 95 indexed citations

13.

Rusyn, Ivan, Alexander Sedykh, Yen Low, Kathryn Z. Guyton, & Alexander Tropsha. (2012). Predictive Modeling of Chemical Hazard by Integrating Numerical Descriptors of Chemical Structures and Short-term Toxicity Assay Data. Toxicological Sciences. 127(1). 1–9. 52 indexed citations

14.

Low, Yen, Takeki Uehara, Yohsuke Minowa, et al.. (2011). Predicting Drug-Induced Hepatotoxicity Using QSAR and Toxicogenomics Approaches. Chemical Research in Toxicology. 24(8). 1251–1262. 164 indexed citations

15.

Low, Yen, et al.. (2009). Uterine rupture during the mid-trimester management of intrauterine fetal death. Journal of Obstetrics and Gynaecology. 29(5). 443–443. 1 indexed citations

16.

Tan, T. Y. T., et al.. (2007). Intestinal atresia of co-twin after spontaneous cessation of blood flow through an acardiac twin.. PubMed. 48(9). 862–5.

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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