Yingjuan Lu

2.3k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Yingjuan Lu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yingjuan Lu has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Oncology. Recurrent topics in Yingjuan Lu's work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Immune Cell Function and Interaction (5 papers). Yingjuan Lu is often cited by papers focused on MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Immune Cell Function and Interaction (5 papers). Yingjuan Lu collaborates with scholars based in United States, China and Finland. Yingjuan Lu's co-authors include Philip S. Low, Emanuela Sega, Christopher P. Leamon, Jun J. Yang, Elaine Westrick, Haiyan Chu, Iontcho R. Vlahov, Madduri Srinivasarao, Yong Gu Lee and Patrick Klein and has published in prestigious journals such as Nature Communications, Cancer Research and Advanced Drug Delivery Reviews.

In The Last Decade

Yingjuan Lu

33 papers receiving 1.8k citations

Hit Papers

Folate-mediated delivery of macromolecular anticancer the... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingjuan Lu United States 18 876 622 509 313 213 34 1.8k
Imran Vhora India 21 877 1.0× 617 1.0× 386 0.8× 325 1.0× 136 0.6× 25 1.8k
Hanqing Qian China 25 689 0.8× 752 1.2× 725 1.4× 254 0.8× 249 1.2× 58 1.8k
Ehud Segal United States 21 987 1.1× 375 0.6× 543 1.1× 503 1.6× 312 1.5× 26 2.2k
Hae Yun Nam South Korea 22 1.1k 1.2× 835 1.3× 497 1.0× 206 0.7× 271 1.3× 32 2.2k
Sang Mun Bae South Korea 18 742 0.8× 858 1.4× 622 1.2× 168 0.5× 182 0.9× 26 1.8k
Wangxiao He China 28 920 1.1× 393 0.6× 570 1.1× 457 1.5× 295 1.4× 72 1.9k
Cheng‐Liang Peng Taiwan 24 630 0.7× 806 1.3× 1000 2.0× 273 0.9× 395 1.9× 61 2.1k
Yuan Fan China 14 1.3k 1.4× 874 1.4× 741 1.5× 274 0.9× 183 0.9× 29 2.3k
Arash Hatefi United States 25 1.1k 1.3× 630 1.0× 377 0.7× 238 0.8× 89 0.4× 57 2.1k
Shuang Dou China 20 1.3k 1.5× 1.1k 1.7× 848 1.7× 215 0.7× 293 1.4× 32 2.5k

Countries citing papers authored by Yingjuan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Yingjuan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingjuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Yingjuan Lu. A scholar is included among the top collaborators of Yingjuan Lu 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 Yingjuan Lu. Yingjuan Lu 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.
Lu, Yingjuan, Leroy W. Wheeler, Haiyan Chu, et al.. (2021). Targeting folate receptor beta on monocytes/macrophages renders rapid inflammation resolution independent of root causes. Cell Reports Medicine. 2(10). 100422–100422. 13 indexed citations
2.
Li, Xiang‐Guo, Heidi Liljenbäck, Maria Gardberg, et al.. (2021). Efficacy and tolerability of folate-aminopterin therapy in a rat focal model of multiple sclerosis. Journal of Neuroinflammation. 18(1). 30–30. 9 indexed citations
3.
Xu, Li, Xuan Zhang, Yingjuan Lu, Yanhua Zheng, & Guangxun Gao. (2020). Pulmonary Lymphomatoid Granulomatosis With Hemophagocytic Lymphohistiocytosis as the Initial Manifestation. Frontiers in Oncology. 10. 34–34. 3 indexed citations
4.
Tian, Tian, Xiaobin Lv, Guokai Pan, et al.. (2019). Long Noncoding RNA MPRL Promotes Mitochondrial Fission and Cisplatin Chemosensitivity via Disruption of Pre-miRNA Processing. Clinical Cancer Research. 25(12). 3673–3688. 60 indexed citations
5.
Lee, Yong Gu, Haiyan Chu, Yingjuan Lu, et al.. (2019). Regulation of CAR T cell-mediated cytokine release syndrome-like toxicity using low molecular weight adapters. Nature Communications. 10(1). 2681–2681. 82 indexed citations
6.
Lu, Yingjuan, Haiyan Chu, Leroy W. Wheeler, et al.. (2019). Preclinical Evaluation of Bispecific Adaptor Molecule Controlled Folate Receptor CAR-T Cell Therapy With Special Focus on Pediatric Malignancies. Frontiers in Oncology. 9. 151–151. 46 indexed citations
7.
Chu, Haiyan, Jonathan M. Shillingford, Joseph A. Reddy, et al.. (2019). Detecting Functional and Accessible Folate Receptor Expression in Cancer and Polycystic Kidneys. Molecular Pharmaceutics. 16(9). 3985–3995. 6 indexed citations
9.
Wang, Jianhong, Xiangxiang Liu, Yingjuan Lu, et al.. (2018). MEG3 modulates TIGIT expression and CD4 + T cell activation through absorbing miR-23a. Molecular and Cellular Biochemistry. 454(1-2). 67–76. 23 indexed citations
10.
Lu, Yingjuan, et al.. (2016). Folate-Hapten–Mediated Immunotherapy Synergizes with Vascular Endothelial Growth Factor Receptor Inhibitors in Treating Murine Models of Cancer. Molecular Cancer Therapeutics. 16(3). 461–468. 8 indexed citations
11.
Lu, Yingjuan, Nikki Parker, Paul J. Kleindl, et al.. (2015). Antiinflammatory Activity of a Novel Folic Acid Targeted Conjugate of the mTOR Inhibitor Everolimus. Molecular Medicine. 21(1). 584–596. 21 indexed citations
13.
Lu, Yingjuan, Elaine Westrick, Leroy W. Wheeler, et al.. (2013). Folate receptor-targeted aminopterin therapy is highly effective and specific in experimental models of autoimmune uveitis and autoimmune encephalomyelitis. Clinical Immunology. 150(1). 64–77. 17 indexed citations
14.
Amato, Robert J., et al.. (2013). A Phase I Study of Folate Immune Therapy (EC90 Vaccine Administered With GPI-0100 Adjuvant Followed by EC17) in Patients With Renal Cell Carcinoma. Journal of Immunotherapy. 36(4). 268–275. 36 indexed citations
15.
Henne, Walter A., et al.. (2011). Synthesis and activity of folate conjugated didemnin B for potential treatment of inflammatory diseases. Bioorganic & Medicinal Chemistry Letters. 22(1). 709–712. 14 indexed citations
16.
Lu, Yingjuan, Elaine Westrick, Patrick Klein, et al.. (2011). Treatment of experimental adjuvant arthritis with a novel folate receptor-targeted folic acid-aminopterin conjugate. Arthritis Research & Therapy. 13(2). R56–R56. 62 indexed citations
17.
Lu, Yingjuan, Patrick Klein, Elaine Westrick, et al.. (2009). Strategy to Prevent Drug-Related Hypersensitivity in Folate-Targeted Hapten Immunotherapy of Cancer. The AAPS Journal. 11(3). 628–638. 9 indexed citations
18.
Sega, Emanuela, et al.. (2008). Low-Dose Radiation Potentiates the Therapeutic Efficacy of Folate Receptor–Targeted Hapten Therapy. International Journal of Radiation Oncology*Biology*Physics. 71(2). 559–566. 8 indexed citations
19.
Lu, Yingjuan, Jun J. Yang, & Emanuela Sega. (2006). Issues related to targeted delivery of proteins and peptides. The AAPS Journal. 8(3). E466–E478. 68 indexed citations
20.
Lu, Yingjuan & Philip S. Low. (2002). Folate-mediated delivery of macromolecular anticancer therapeutic agents. Advanced Drug Delivery Reviews. 54(5). 675–693. 786 indexed citations breakdown →

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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