Sarah Shigdar

4.5k total citations
68 papers, 3.6k citations indexed

About

Sarah Shigdar is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Sarah Shigdar has authored 68 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 15 papers in Biomedical Engineering and 13 papers in Oncology. Recurrent topics in Sarah Shigdar's work include Advanced biosensing and bioanalysis techniques (41 papers), RNA Interference and Gene Delivery (31 papers) and Nanoparticle-Based Drug Delivery (11 papers). Sarah Shigdar is often cited by papers focused on Advanced biosensing and bioanalysis techniques (41 papers), RNA Interference and Gene Delivery (31 papers) and Nanoparticle-Based Drug Delivery (11 papers). Sarah Shigdar collaborates with scholars based in Australia, China and United States. Sarah Shigdar's co-authors include Wei Duan, Dongxi Xiang, Yong Li, Tao Wang, Lingxue Kong, Jia Lin, Joanna Macdonald, Chunwen Pu, Wei Ming and Liang Qiao and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Sarah Shigdar

68 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Shigdar Australia 33 2.4k 828 799 483 449 68 3.6k
Hyewon Youn South Korea 30 1.6k 0.7× 1.0k 1.2× 500 0.6× 466 1.0× 493 1.1× 108 3.6k
Kun Cheng United States 36 2.5k 1.0× 684 0.8× 872 1.1× 698 1.4× 453 1.0× 102 4.4k
Dongxi Xiang China 26 1.7k 0.7× 535 0.6× 581 0.7× 291 0.6× 474 1.1× 50 2.7k
In-San Kim South Korea 36 2.1k 0.9× 886 1.1× 535 0.7× 967 2.0× 520 1.2× 68 3.8k
Pauline Chu United States 22 1.5k 0.6× 816 1.0× 544 0.7× 316 0.7× 238 0.5× 29 3.1k
Kenji Yokoi United States 29 1.5k 0.6× 624 0.8× 730 0.9× 342 0.7× 456 1.0× 90 2.8k
Anupama Munshi United States 42 3.0k 1.3× 617 0.7× 1.3k 1.7× 636 1.3× 960 2.1× 85 4.8k
Jia Lv China 34 2.0k 0.9× 727 0.9× 342 0.4× 603 1.2× 368 0.8× 78 3.6k
Yunching Chen Taiwan 32 2.1k 0.9× 905 1.1× 723 0.9× 795 1.6× 960 2.1× 80 4.1k
Yongping Shao China 31 1.4k 0.6× 551 0.7× 415 0.5× 366 0.8× 242 0.5× 76 2.6k

Countries citing papers authored by Sarah Shigdar

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Shigdar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Shigdar

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Shigdar. A scholar is included among the top collaborators of Sarah Shigdar 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 Shigdar. Sarah Shigdar 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
1.
DeRosa, Maria C., Ann Lin, Prabodhika Mallikaratchy, et al.. (2023). In vitro selection of aptamers and their applications. Nature Reviews Methods Primers. 3(1). 24 indexed citations
2.
Nakhjavani, Maryam, et al.. (2022). Cytotoxic effects of aptamer-doxorubicin conjugates in an ovarian cancer cell line. Biochimie. 204. 108–117. 11 indexed citations
3.
Nakhjavani, Maryam, et al.. (2022). Modelling of mass transport and distribution of aptamer in blood-brain barrier for tumour therapy and cancer treatment. European Journal of Pharmaceutics and Biopharmaceutics. 173. 121–131. 11 indexed citations
4.
Shigdar, Sarah, et al.. (2021). Diagnostics and Therapeutics in Targeting HER2 Breast Cancer: A Novel Approach. International Journal of Molecular Sciences. 22(11). 6163–6163. 14 indexed citations
5.
Nakhjavani, Maryam & Sarah Shigdar. (2021). Future of PD-1/PD-L1 axis modulation for the treatment of triple-negative breast cancer. Pharmacological Research. 175. 106019–106019. 28 indexed citations
6.
Wang, Tao, Dongxi Xiang, Yin Wang, et al.. (2020). Author Correction: Aptamer-mediated survivin RNAi enables 5-fluorouracil to eliminate colorectal cancer stem cells. Scientific Reports. 10(1). 22191–22191. 3 indexed citations
7.
Macdonald, Joanna, et al.. (2020). Bifunctional Aptamer–Doxorubicin Conjugate Crosses the Blood–Brain Barrier and Selectively Delivers Its Payload to EpCAM-Positive Tumor Cells. Nucleic Acid Therapeutics. 30(2). 117–128. 47 indexed citations
8.
Macdonald, Joanna, et al.. (2018). Development of transferrin receptor aptamers as drug delivery vehicles for the treatment of brain metastases. Own your potential (DEAKIN). 2. 15–27. 2 indexed citations
9.
Wang, Tao, Dongxi Xiang, Wang Yin, et al.. (2017). Aptamer-mediated survivin RNAi enables 5-fluorouracil to eliminate colorectal cancer stem cells. Scientific Reports. 7(1). 5898–5898. 44 indexed citations
10.
Duan, Wei, et al.. (2017). Aptamers and Glioblastoma: Their Potential Use for Imaging and Therapeutic Applications. International Journal of Molecular Sciences. 18(12). 2576–2576. 29 indexed citations
11.
Wang, Tao, Michael P. Gantier, Dongxi Xiang, et al.. (2015). EpCAM Aptamer-mediated Survivin Silencing Sensitized Cancer Stem Cells to Doxorubicin in a Breast Cancer Model. Theranostics. 5(12). 1456–1472. 87 indexed citations
12.
She, Xiaodong, Lijue Chen, Leonora Velleman, et al.. (2015). The control of epidermal growth factor grafted on mesoporous silica nanoparticles for targeted delivery. Journal of Materials Chemistry B. 3(29). 6094–6104. 12 indexed citations
13.
Xiang, Dongxi, Zheng Cong-long, Shufeng Zhou, et al.. (2015). Superior Performance of Aptamer in Tumor Penetration over Antibody: Implication of Aptamer-Based Theranostics in Solid Tumors. Theranostics. 5(10). 1083–1097. 168 indexed citations
14.
Shigdar, Sarah, Li Lv, Lifen Wang, & Wei Duan. (2015). Application of Aptamers in Histopathology. Methods in molecular biology. 1380. 191–196. 5 indexed citations
15.
She, Xiaodong, Lijue Chen, Leonora Velleman, et al.. (2014). Fabrication of high specificity hollow mesoporous silica nanoparticles assisted by Eudragit for targeted drug delivery. Journal of Colloid and Interface Science. 445. 151–160. 61 indexed citations
16.
Xiang, Dongxi, Sarah Shigdar, Wenrong Yang, et al.. (2014). Epithelial cell adhesion molecule aptamer functionalized PLGA-lecithin-curcumin-PEG nanoparticles for targeted drug delivery to human colorectal adenocarcinoma cells. International Journal of Nanomedicine. 9. 1083–1083. 132 indexed citations
17.
Lin, Jia, Sarah Shigdar, Ding Zhi Fang, et al.. (2014). Improved Efficacy and Reduced Toxicity of Doxorubicin Encapsulated in Sulfatide-Containing Nanoliposome in a Glioma Model. PLoS ONE. 9(7). e103736–e103736. 65 indexed citations
18.
Shigdar, Sarah, Li Lv, Chunwen Pu, et al.. (2013). The Use of Sensitive Chemical Antibodies for Diagnosis: Detection of Low Levels of Epcam in Breast Cancer. PLoS ONE. 8(2). e57613–e57613. 48 indexed citations
19.
Shigdar, Sarah, et al.. (2011). Clinical applications of aptamers and nucleic acid therapeutics in haematological malignancies. British Journal of Haematology. 155(1). 3–13. 36 indexed citations
20.
Shigdar, Sarah, David Cook, Paul L. Jones, Andrew J. Harford, & Alister C. Ward. (2007). Blood cells of Murray cod Maccullochella peelii peelii (Mitchell). Journal of Fish Biology. 70(3). 973–980. 13 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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