Sarah Du

692 total citations
10 papers, 450 citations indexed

About

Sarah Du is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Sarah Du has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Sarah Du's work include Estrogen and related hormone effects (3 papers), Cancer-related molecular mechanisms research (2 papers) and Transgenic Plants and Applications (2 papers). Sarah Du is often cited by papers focused on Estrogen and related hormone effects (3 papers), Cancer-related molecular mechanisms research (2 papers) and Transgenic Plants and Applications (2 papers). Sarah Du collaborates with scholars based in United States, Canada and Australia. Sarah Du's co-authors include Jessica D. Dietz, Xiao Hu, L. Erickson, Chunsheng Xia, David von Schack, Yongzhong Wu, Maria Payne, James R. Blinn, Shanrong Zhao and Charles W. Bolten and has published in prestigious journals such as The Journal of Immunology, Endocrinology and Hypertension.

In The Last Decade

Sarah Du

10 papers receiving 438 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah Du United States	9	262	167	86	83	60	10	450
Vijay Chauthaiwale India	15	225 0.9×	112 0.7×	26 0.3×	41 0.5×	30 0.5×	25	482
Lan Jiang China	15	388 1.5×	61 0.4×	149 1.7×	48 0.6×	119 2.0×	51	617
Tanya D. Russell United States	13	342 1.3×	42 0.3×	46 0.5×	139 1.7×	131 2.2×	16	807
L. H. Preis United States	10	401 1.5×	93 0.6×	23 0.3×	107 1.3×	72 1.2×	10	603
Cibele C. Cardoso Brazil	14	234 0.9×	53 0.3×	24 0.3×	32 0.4×	83 1.4×	24	461
Luisa García-Haro Spain	7	335 1.3×	58 0.3×	25 0.3×	40 0.5×	39 0.7×	8	539
Fumiaki Uchiyama Japan	8	168 0.6×	255 1.5×	21 0.2×	66 0.8×	82 1.4×	9	411
Jing Cui China	10	184 0.7×	36 0.2×	69 0.8×	30 0.4×	72 1.2×	13	390
Agnese Granata Italy	11	146 0.6×	56 0.3×	37 0.4×	31 0.4×	52 0.9×	23	362

Countries citing papers authored by Sarah Du

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Du

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

All Works

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10 of 10 papers shown

Zhao, Shanrong, William Gordon, Sarah Du, et al.. (2017). QuickMIRSeq: a pipeline for quick and accurate quantification of both known miRNAs and isomiRs by jointly processing multiple samples from microRNA sequencing. BMC Bioinformatics. 18(1). 180–180. 36 indexed citations

Zhao, Shanrong, Ying Zhang, William Gordon, et al.. (2015). Comparison of stranded and non-stranded RNA-seq transcriptome profiling and investigation of gene overlap. BMC Genomics. 16(1). 675–675. 77 indexed citations

Benson, Micah J., David von Schack, Sean Keegan, et al.. (2014). Modeling the Clinical Phenotype of BTK Inhibition in the Mature Murine Immune System. The Journal of Immunology. 193(1). 185–197. 19 indexed citations

Hu, Xiao, Sarah Du, Elizabeth Webb, et al.. (2011). The Antagonists But Not Partial Agonists of Glucocorticoid Receptor Ligands Show Substantial Side Effect Dissociation. Endocrinology. 152(8). 3123–3134. 46 indexed citations

Dietz, Jessica D., Sarah Du, Charles W. Bolten, et al.. (2008). A Number of Marketed Dihydropyridine Calcium Channel Blockers Have Mineralocorticoid Receptor Antagonist Activity. Hypertension. 51(3). 742–748. 103 indexed citations

Krasnoperova, Nataliia V., Suzhen Li, Sarah Du, et al.. (2005). The Ligand-Dependent Interaction of Mineralocorticoid Receptor with Coactivator and Corepressor Peptides Suggests Multiple Activation Mechanisms. Molecular Endocrinology. 19(6). 1460–1473. 79 indexed citations

Qiu, Xiao, Yongzhong Wu, Sarah Du, & L. Erickson. (1997). A new arabinogalactan protein-like gene expressed in the pollen of alfalfa. Plant Science. 124(1). 41–47. 11 indexed citations

Wu, Yongzhong, et al.. (1996). Cloning and characterization of PO22, a pollen-expressed gene in alfalfa. Plant Molecular Biology. 32(6). 1205–1207. 4 indexed citations

Wu, Yongzhong, Xiao Qiu, Sarah Du, & L. Erickson. (1996). PO149, a new member of pollen pectate lyase-like gene family from alfalfa. Plant Molecular Biology. 32(6). 1037–1042. 42 indexed citations

10.

Du, Sarah, et al.. (1994). Effect of plant genotype on the transformation of cultivated alfalfa (Medicago sativa) by Agrobacterium tumefaciens. Plant Cell Reports. 13(6). 330–4. 33 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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