Mary Wang

1.4k total citations
27 papers, 1.1k citations indexed

About

Mary Wang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Mary Wang has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Surgery. Recurrent topics in Mary Wang's work include Advanced biosensing and bioanalysis techniques (6 papers), Polymer Surface Interaction Studies (4 papers) and RNA Interference and Gene Delivery (3 papers). Mary Wang is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Polymer Surface Interaction Studies (4 papers) and RNA Interference and Gene Delivery (3 papers). Mary Wang collaborates with scholars based in United States, Japan and Canada. Mary Wang's co-authors include Gary L. Clayman, Adel K. El‐Naggar, Mitchell J. Frederick, Arumugam Jayakumar, Chad A. Mirkin, Ying C. Henderson, Soyoung E. Seo, A. K. El-Naggar, Timothy J. McDonnell and Dorothy Taylor and has published in prestigious journals such as Nano Letters, ACS Nano and Biomaterials.

In The Last Decade

Mary Wang

26 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Wang United States 18 484 310 169 151 122 27 1.1k
Serena Marchiò Italy 25 990 2.0× 494 1.6× 285 1.7× 273 1.8× 124 1.0× 45 1.9k
Yuliang Ran China 23 689 1.4× 345 1.1× 153 0.9× 348 2.3× 194 1.6× 55 1.5k
Guido Piontek Germany 26 684 1.4× 492 1.6× 311 1.8× 230 1.5× 101 0.8× 58 2.0k
Gabi Hanna United States 16 579 1.2× 239 0.8× 144 0.9× 279 1.8× 118 1.0× 22 1.4k
Tomoko Hashimoto Japan 20 640 1.3× 321 1.0× 141 0.8× 115 0.8× 58 0.5× 63 1.5k
Yoko Takahashi Japan 20 632 1.3× 369 1.2× 65 0.4× 210 1.4× 181 1.5× 46 1.6k
Noriko Ito Japan 26 433 0.9× 317 1.0× 218 1.3× 364 2.4× 303 2.5× 74 1.7k
Yusuke Satoh Japan 29 886 1.8× 244 0.8× 331 2.0× 170 1.1× 243 2.0× 74 2.2k
Satoshi Kawano Japan 16 355 0.7× 358 1.2× 88 0.5× 138 0.9× 67 0.5× 34 929
Taek-Chin Cheong United States 14 621 1.3× 216 0.7× 382 2.3× 62 0.4× 158 1.3× 22 1.2k

Countries citing papers authored by Mary Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mary Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Wang

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

All Works

20 of 20 papers shown
2.
Wang, Mary, Umesh K. Shandilya, Xiang Wu, David Huyben, & Niel A. Karrow. (2023). Assessing Larval Zebrafish Survival and Gene Expression Following Sodium Butyrate Exposure and Subsequent Lethal Bacterial Lipopolysaccharide (LPS) Endotoxin Challenge. Toxins. 15(10). 588–588. 5 indexed citations
3.
Osei, Emmanuel T., Leila B. Mostaço-Guidolin, Aileen Hsieh, et al.. (2020). Epithelial-interleukin-1 inhibits collagen formation by airway fibroblasts: Implications for asthma. Scientific Reports. 10(1). 8721–8721. 34 indexed citations
4.
Harland, Tessa, et al.. (2019). Frailty as a Predictor of Neurosurgical Outcomes in Brain Tumor Patients. World Neurosurgery. 133. e813–e818. 45 indexed citations
5.
Ung, Timothy H., Michael Yang, Mary Wang, Tessa Harland, & Kevin O. Lillehei. (2018). Benefit of Intracystic Bleomycin for Symptomatic Recurrent Rathke Cleft Cyst. Operative Neurosurgery. 17(3). 268–272. 4 indexed citations
6.
Oushy, Soliman, Justin E. Hellwinkel, Mary Wang, et al.. (2017). Glioblastoma multiforme-derived extracellular vesicles drive normal astrocytes towards a tumour-enhancing phenotype. Philosophical Transactions of the Royal Society B Biological Sciences. 373(1737). 20160477–20160477. 82 indexed citations
7.
Hellwinkel, Justin E., Helen J. Madsen, Tessa Harland, et al.. (2016). HSP90 inhibitors in the context of heat shock and the unfolded protein response: effects on a primary canine pulmonary adenocarcinoma cell line*. International Journal of Hyperthermia. 33(3). 303–317. 10 indexed citations
8.
Yang, Jun, et al.. (2016). Semiquantitative assessment of optic nerve injury using manganese-enhanced MRI. Japanese Journal of Radiology. 34(5). 356–365. 7 indexed citations
9.
Shade, Chad M., Robert D. Kennedy, Jessica L. Rouge, et al.. (2015). Duplex‐Selective Ruthenium‐Based DNA Intercalators. Chemistry - A European Journal. 21(31). 10983–10987. 16 indexed citations
10.
Seo, Soyoung E., Mary Wang, Chad M. Shade, et al.. (2015). Modulating the Bond Strength of DNA–Nanoparticle Superlattices. ACS Nano. 10(2). 1771–1779. 37 indexed citations
11.
Radha, Boya, Andrew J. Senesi, Matthew N. O’Brien, et al.. (2014). Reconstitutable Nanoparticle Superlattices. Nano Letters. 14(4). 2162–2167. 35 indexed citations
12.
Wang, Mary. (2011). Linguistic Dating of Biblical Texts, vol.1., Ian Young & Robert Rezetko, (with the assistance of Martin Ehrensvard). Old Testament Essays. 24(2). 537–543. 3 indexed citations
13.
Samuel, Raymond E., et al.. (2011). Osteoconductive protamine-based polyelectrolyte multilayer functionalized surfaces. Biomaterials. 32(30). 7491–7502. 33 indexed citations
14.
Ahn, Soon‐Hyun, Ying C. Henderson, Ya’an Kang, et al.. (2008). An Orthotopic Model of Papillary Thyroid Carcinoma in Athymic Nude Mice. Archives of Otolaryngology - Head and Neck Surgery. 134(2). 190–190. 41 indexed citations
15.
Shellenberger, Thomas D., Abhijit Mazumdar, Ying C. Henderson, et al.. (2005). Headpin: A Serpin with Endogenous and Exogenous Suppression of Angiogenesis. Cancer Research. 65(24). 11501–11509. 24 indexed citations
16.
Shellenberger, Thomas D., Mary Wang, Arumugam Jayakumar, et al.. (2004). BRAK/CXCL14 Is a Potent Inhibitor of Angiogenesis and a Chemotactic Factor for Immature Dendritic Cells. Cancer Research. 64(22). 8262–8270. 204 indexed citations
17.
Jayakumar, Arumugam, Ya’an Kang, Ying C. Henderson, et al.. (2004). Consequences of C-terminal domains and N-terminal signal peptide deletions on LEKTI secretion, stability, and subcellular distribution. Archives of Biochemistry and Biophysics. 435(1). 89–102. 19 indexed citations
18.
Jayakumar, Arumugam, Ya’an Kang, Kenji Mitsudo, et al.. (2004). Expression of LEKTI domains 6–9′ in the baculovirus expression system: recombinant LEKTI domains 6–9′ inhibit trypsin and subtilisin A. Protein Expression and Purification. 35(1). 93–101. 37 indexed citations
19.
Mitsudo, Kenji, Arumugam Jayakumar, Ying C. Henderson, et al.. (2003). Inhibition of Serine Proteinases Plasmin, Trypsin, Subtilisin A, Cathepsin G, and Elastase by LEKTI:  A Kinetic Analysis. Biochemistry. 42(13). 3874–3881. 80 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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