Susanna Wang

5.3k total citations · 1 hit paper
15 papers, 1.8k citations indexed

About

Susanna Wang is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Susanna Wang has authored 15 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Physiology. Recurrent topics in Susanna Wang's work include Bioinformatics and Genomic Networks (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic and phenotypic traits in livestock (2 papers). Susanna Wang is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Genetic and phenotypic traits in livestock (2 papers). Susanna Wang collaborates with scholars based in United States, Poland and Sweden. Susanna Wang's co-authors include Aldons J. Lusis, Eric E. Schadt, Thomas A. Drake, Xia Yang, Arthur P. Arnold, Leslie Ingram-Drake, Hui Wang, Anatole Ghazalpour, Nadir Yehya and Sudheer Doss and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Genome Research.

In The Last Decade

Susanna Wang

14 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.

Tissue-specific expression and regulation of sexually dimorphic genes in mice

2006 672 citations Xia Yang, Eric E. Schadt et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Susanna Wang United States	11	889	883	208	198	133	15	1.8k
Jeanette C. Papp United States	17	923 1.0×	598 0.7×	151 0.7×	204 1.0×	75 0.6×	54	1.8k
Leslie Ingram-Drake United States	14	693 0.8×	694 0.8×	65 0.3×	179 0.9×	82 0.6×	15	1.5k
Aaron Isaacs Netherlands	13	505 0.6×	936 1.1×	188 0.9×	155 0.8×	48 0.4×	16	1.8k
Shu Fang China	24	691 0.8×	626 0.7×	234 1.1×	80 0.4×	202 1.5×	91	1.9k
J. Arvid Ågren Finland	23	582 0.7×	348 0.4×	306 1.5×	285 1.4×	179 1.3×	58	1.7k
Neil A. Youngson Australia	22	2.1k 2.4×	1.3k 1.4×	194 0.9×	328 1.7×	60 0.5×	58	3.0k
Mary Sara McPeek United States	24	800 0.9×	1.7k 2.0×	343 1.6×	147 0.7×	41 0.3×	52	2.5k
Hyuna Yang United States	14	722 0.8×	686 0.8×	124 0.6×	103 0.5×	59 0.4×	23	1.6k
Shinji Yamaguchi Japan	24	951 1.1×	243 0.3×	77 0.4×	296 1.5×	115 0.9×	89	2.2k
Albert V. Smith United States	22	1.3k 1.4×	733 0.8×	209 1.0×	199 1.0×	21 0.2×	59	2.4k

Countries citing papers authored by Susanna Wang

Since Specialization

Citations

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

Fields of papers citing papers by Susanna Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Wang

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

15 of 15 papers shown

Chen, Yen-Wei, In Sook Ahn, Susanna Wang, et al.. (2025). Multitissue single-cell analysis reveals differential cellular and molecular sensitivity between fructose and high-fat high-sucrose diets. Cell Reports. 44(5). 115690–115690.

Zhang, Victor Wei, Graciel Diamante, In Sook Ahn, et al.. (2024). Thyroid hormone T4 mitigates traumatic brain injury in mice by dynamically remodeling cell type specific genes, pathways, and networks in hippocampus and frontal cortex. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(8). 167344–167344. 5 indexed citations

Kurt, Zeyneb, Jenny Cheng, Calvin Pan, et al.. (2023). Shared and distinct pathways and networks genetically linked to coronary artery disease between human and mouse. eLife. 12. 3 indexed citations

Wang, Susanna, et al.. (2023). Systematic transcriptome-wide meta-analysis across endocrine disrupting chemicals reveals shared and unique liver pathways, gene networks, and disease associations. Environment International. 183. 108339–108339. 5 indexed citations

Li, Xiaobo, Hongbao Yang, Hao Sun, et al.. (2017). Taurine ameliorates particulate matter-induced emphysema by switching on mitochondrial NADH dehydrogenase genes. Proceedings of the National Academy of Sciences. 114(45). E9655–E9664. 68 indexed citations

Orozco, Luz D., Shawn Cokus, Anatole Ghazalpour, et al.. (2009). Copy number variation influences gene expression and metabolic traits in mice. Human Molecular Genetics. 18(21). 4118–4129. 87 indexed citations

Itoh, Yuichiro, Esther Melamed, Xia Yang, et al.. (2007). Dosage compensation is less effective in birds than in mammals. Journal of Biology. 6(1). 2–2. 275 indexed citations

Ghazalpour, Anatole, Sudheer Doss, Bin Zhang, et al.. (2006). Integrating Genetic and Network Analysis to Characterize Genes Related to Mouse Weight. PLoS Genetics. 2(8). e130–e130. 336 indexed citations

Wang, Susanna, Nadir Yehya, Eric E. Schadt, et al.. (2006). Genetic and Genomic Analysis of a Fat Mass Trait with Complex Inheritance Reveals Marked Sex Specificity. PLoS Genetics. 2(2). e15–e15. 129 indexed citations

10.

Lum, Pek Yee, Yanqing Chen, Jun Zhu, et al.. (2006). Elucidating the murine brain transcriptional network in a segregating mouse population to identify core functional modules for obesity and diabetes. Journal of Neurochemistry. 97(s1). 50–62. 66 indexed citations

11.

Yang, Xia, Eric E. Schadt, Susanna Wang, et al.. (2006). Tissue-specific expression and regulation of sexually dimorphic genes in mice. Genome Research. 16(8). 995–1004. 672 indexed citations breakdown →

12.

Ghazalpour, Anatole, Sudheer Doss, Bin Zhang, et al.. (2005). Integrating Genetic and Network Analysis to Characterize Genes Related to Mouse Weight. PLoS Genetics. preprint(2006). e130–e130. 16 indexed citations

13.

Cervino, Alessandra, Stephen W. Edwards, Jun Zhu, et al.. (2005). Integrating QTL and high-density SNP analyses in mice to identify Insig2 as a susceptibility gene for plasma cholesterol levels. Genomics. 86(5). 505–517. 114 indexed citations

14.

Ghazalpour, Anatole, Sudheer Doss, Xia Yang, et al.. (2004). Thematic review series: The Pathogenesis of Atherosclerosis. Toward a biological network for atherosclerosis. Journal of Lipid Research. 45(10). 1793–1805. 36 indexed citations

15.

Cheng, Jin-Chen, Kvin Lertpiriyapong, Susanna Wang, & Z. Renee Sung. (2000). The Role of the Arabidopsis ELD1 Gene in Cell Development and Photomorphogenesis in Darkness. PLANT PHYSIOLOGY. 123(2). 509–520. 29 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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