Jennifer S. Yu

4.5k total citations · 1 hit paper
91 papers, 2.6k citations indexed

About

Jennifer S. Yu is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Jennifer S. Yu has authored 91 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Pulmonary and Respiratory Medicine, 41 papers in Genetics and 26 papers in Molecular Biology. Recurrent topics in Jennifer S. Yu's work include Glioma Diagnosis and Treatment (39 papers), Brain Metastases and Treatment (35 papers) and Meningioma and schwannoma management (8 papers). Jennifer S. Yu is often cited by papers focused on Glioma Diagnosis and Treatment (39 papers), Brain Metastases and Treatment (35 papers) and Meningioma and schwannoma management (8 papers). Jennifer S. Yu collaborates with scholars based in United States, China and India. Jennifer S. Yu's co-authors include Shideng Bao, Erin S. Murphy, Samuel T. Chao, John H. Suh, Per-Olof Malmström, Matthew Maurer, Hanina Hibshoosh, Tao Su, Mahesh Mansukhani and Lao H. Saal and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jennifer S. Yu

86 papers receiving 2.5k citations

Hit Papers

PIK3CA Mutations Correlat... 2005 2026 2012 2019 2005 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer S. Yu United States 24 1.2k 869 826 823 569 91 2.6k
Carmen Balañá Spain 25 839 0.7× 774 0.9× 848 1.0× 1.2k 1.5× 644 1.1× 119 2.7k
Benoît Lhermitte France 18 821 0.7× 710 0.8× 702 0.8× 1.1k 1.4× 647 1.1× 77 2.5k
Mehdi Touat France 19 835 0.7× 688 0.8× 440 0.5× 800 1.0× 444 0.8× 74 2.1k
Yu Yao China 33 1.1k 0.9× 893 1.0× 563 0.7× 1.1k 1.4× 772 1.4× 112 3.0k
Shouwei Li China 23 793 0.7× 702 0.8× 423 0.5× 1.0k 1.2× 713 1.3× 77 2.3k
Jason T. Huse United States 22 1.1k 0.9× 1.1k 1.3× 978 1.2× 1.6k 2.0× 755 1.3× 49 3.5k
Christopher E. Pelloski United States 17 1.1k 0.9× 532 0.6× 439 0.5× 847 1.0× 540 0.9× 35 2.2k
Viive M. Howell Australia 26 852 0.7× 672 0.8× 418 0.5× 310 0.4× 568 1.0× 74 2.2k
Dana Cernea Romania 8 595 0.5× 462 0.5× 557 0.7× 1.4k 1.7× 486 0.9× 16 2.0k
Andreas M. Stark Germany 24 681 0.6× 850 1.0× 919 1.1× 833 1.0× 415 0.7× 47 2.4k

Countries citing papers authored by Jennifer S. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer S. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer S. Yu. 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 Jennifer S. Yu. The network helps show where Jennifer S. Yu may publish in the future.

Co-authorship network of co-authors of Jennifer S. Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer S. Yu. A scholar is included among the top collaborators of Jennifer S. Yu 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 Jennifer S. Yu. Jennifer S. Yu 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.
Wang, Qingzhu, Eric E. Irons, Belinda Willard, et al.. (2025). Cisplatin-Induced APE2 Overexpression Disrupts MYH9 Function and Causes Hearing Loss. Cancer Research Communications. 5(6). 994–1007.
2.
Yu, Jennifer S., Ran Zhao, Wei Wei, et al.. (2025). Expedited chemoradiation after laser interstitial thermal therapy (LITT) is feasible and safe in patients with newly diagnosed glioblastoma. Neuro-Oncology Advances. 7(1). vdaf038–vdaf038. 2 indexed citations
3.
4.
Banerjee, Rakhee, Chase J. Wehrle, Zeneng Wang, et al.. (2024). Circulating Gut Microbe-Derived Metabolites Are Associated with Hepatocellular Carcinoma. Biomedicines. 12(9). 1946–1946. 4 indexed citations
6.
Xia, Ping, et al.. (2023). Radio-Immune Response of Spatially Fractionated Radiotherapy for VMAT Lattice Plans. International Journal of Radiation Oncology*Biology*Physics. 117(2). e654–e655.
7.
Yu, Jennifer S., Hao Jing, Haidong Huang, et al.. (2023). Sema3C Signaling is an Alternative Activator of the Canonical WNT Pathway in Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 117(2). S138–S138. 2 indexed citations
8.
Tom, Martin C., Wei Wei, Samuel T. Chao, et al.. (2022). Sex-Specific Differences in Low-Grade Glioma Presentation and Outcome. International Journal of Radiation Oncology*Biology*Physics. 114(2). 283–292. 6 indexed citations
9.
Jing, Hao, et al.. (2021). Interactions between semaphorins and plexin–neuropilin receptor complexes in the membranes of live cells. Journal of Biological Chemistry. 297(2). 100965–100965. 12 indexed citations
10.
Knackstedt, Rebecca, Timothy D. Smile, Jennifer S. Yu, & Brian Gastman. (2021). Non-Operative Options for Loco-regional Melanoma. Clinics in Plastic Surgery. 48(4). 631–642. 2 indexed citations
11.
Murphy, Erin S., Kailin Yang, John H. Suh, et al.. (2019). Prospective Phase I Dose Escalation Study for Neoadjuvant Radiosurgery for Large Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 105(1). S10–S11. 3 indexed citations
12.
Jing, Hao, Andrew Godley, Jocelyn D. Shoemake, et al.. (2018). The effects of extra high dose rate irradiation on glioma stem-like cells. PLoS ONE. 13(8). e0202533–e0202533. 4 indexed citations
13.
Yu, Jennifer S., Leisha C. Elmore, Amy Cyr, et al.. (2017). Cost Analysis of a Surgical Consensus Guideline in Breast-Conserving Surgery. Journal of the American College of Surgeons. 225(2). 294–301. 18 indexed citations
14.
Liu, Ying, Melody S. Goodman, Shumei Yun, et al.. (2016). Comparing treatment and outcomes of ductal carcinoma in situ among women in Missouri by race. Breast Cancer Research and Treatment. 160(3). 563–572. 11 indexed citations
15.
Man, Jianghong, Jocelyn D. Shoemake, Anthony Rizzo, et al.. (2015). Hyperthermia Sensitizes Glioma Stem-like Cells to Radiation by Inhibiting AKT Signaling. Cancer Research. 75(8). 1760–1769. 86 indexed citations
16.
Marta, Gustavo Nader, Erin S. Murphy, Samuel T. Chao, Jennifer S. Yu, & John H. Suh. (2014). The incidence of second brain tumors related to cranial irradiation. Expert Review of Anticancer Therapy. 15(3). 295–304. 9 indexed citations
17.
Man, Jianghong, Jocelyn D. Shoemake, Wenchao Zhou, et al.. (2014). Sema3C Promotes the Survival and Tumorigenicity of Glioma Stem Cells through Rac1 Activation. Cell Reports. 9(5). 1812–1826. 95 indexed citations
18.
Rivera, Maricruz, Kumar Sukhdeo, & Jennifer S. Yu. (2013). Ionizing Radiation in Glioblastoma Initiating Cells. Frontiers in Oncology. 3. 74–74. 25 indexed citations
19.
Saal, Lao H., Karolina Holm, Matthew Maurer, et al.. (2005). PIK3CA Mutations Correlate with Hormone Receptors, Node Metastasis, and ERBB2, and Are Mutually Exclusive with PTEN Loss in Human Breast Carcinoma. Cancer Research. 65(7). 2554–2559. 681 indexed citations breakdown →
20.
Smrekar, S. E. & Jennifer S. Yu. (1996). Admittance Spectra and Elastic Thickness Estimates for Venusian Coronae. LPI. 27. 1229. 1 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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