Jingwei Lu

647 total citations
17 papers, 330 citations indexed

About

Jingwei Lu is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Jingwei Lu has authored 17 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Jingwei Lu's work include Mesenchymal stem cell research (6 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (4 papers). Jingwei Lu is often cited by papers focused on Mesenchymal stem cell research (6 papers), CAR-T cell therapy research (5 papers) and T-cell and B-cell Immunology (4 papers). Jingwei Lu collaborates with scholars based in United States and China. Jingwei Lu's co-authors include Hiranmoy Das, Vincent J. Pompili, Suman Kanji, Manjusri Das, Matthew Joseph, Javier F. Morales, Lucas H. Horan, Lianxing Liu, Yiyang Xu and Shon Green and has published in prestigious journals such as PLoS ONE, Biomaterials and Cancer Research.

In The Last Decade

Jingwei Lu

17 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingwei Lu United States 10 138 110 89 78 45 17 330
Riam Shammaa Canada 10 76 0.6× 78 0.7× 101 1.1× 103 1.3× 47 1.0× 14 349
Trupti D. Vardam United States 8 213 1.5× 176 1.6× 187 2.1× 59 0.8× 124 2.8× 10 546
S. Bucher Italy 10 95 0.7× 45 0.4× 62 0.7× 76 1.0× 42 0.9× 27 374
Н. В. Данилова Russia 8 105 0.8× 55 0.5× 77 0.9× 35 0.4× 48 1.1× 61 315
Andriana Lebid United States 5 77 0.6× 111 1.0× 125 1.4× 19 0.2× 50 1.1× 10 365
Kevin Lynch United States 10 134 1.0× 131 1.2× 75 0.8× 70 0.9× 19 0.4× 29 355
Jianyu Yu United States 11 84 0.6× 94 0.9× 143 1.6× 53 0.7× 18 0.4× 25 349
Brad Rybinski United States 5 113 0.8× 35 0.3× 108 1.2× 22 0.3× 34 0.8× 10 277

Countries citing papers authored by Jingwei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jingwei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Lu

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

All Works

17 of 17 papers shown
1.
Ge, Heng’an, et al.. (2025). Viral and non-viral vectors for gene therapy in the treatment of bone-related disorders: molecular insights and clinical perspectives. Molecular Aspects of Medicine. 105. 101400–101400. 2 indexed citations
2.
Lu, Jingwei, Gentao Fan, & Guangxin Zhou. (2020). Parosteal lipoma of humerus with a medical history of 24 years: a case report. Annals of Joint. 5. 45–45. 4 indexed citations
3.
Li, Lan, Jingwei Lu, Longfei Yang, et al.. (2019). Stability evaluation of anterior external fixation in patient with unstable pelvic ring fracture: a finite element analysis. Annals of Translational Medicine. 7(14). 303–303. 11 indexed citations
4.
Xu, Yiyang, Zhiyuan Yang, Lucas H. Horan, et al.. (2018). A novel antibody-TCR (AbTCR) platform combines Fab-based antigen recognition with gamma/delta-TCR signaling to facilitate T-cell cytotoxicity with low cytokine release. Cell Discovery. 4(1). 62–62. 95 indexed citations
5.
Liu, Hong, Yiyang Xu, Jingyi Xiang, et al.. (2016). Abstract 2299: ET1402L1-CART, a T cell therapy targeting the intracellular tumor antigen AFP, demonstrates potent antitumor activity in hepatocellular carcinoma models. Cancer Research. 76(14_Supplement). 2299–2299. 1 indexed citations
6.
Wang, Yanhua, et al.. (2016). Rational design and molecular engineering of peptide aptamers to target human pancreatic trypsin in acute pancreatitis. Biotechnology and Bioprocess Engineering. 21(1). 144–152. 4 indexed citations
7.
Lu, Jingwei, Manjusri Das, Suman Kanji, et al.. (2014). Induction of ATM/ATR pathway combined with Vγ2Vδ2 T cells enhances cytotoxicity of ovarian cancer cells. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(7). 1071–1079. 8 indexed citations
8.
Joseph, Matthew, Manjusri Das, Suman Kanji, et al.. (2014). Retention of stemness and vasculogenic potential of human umbilical cord blood stem cells after repeated expansions on PES-nanofiber matrices. Biomaterials. 35(30). 8566–8575. 6 indexed citations
9.
Kanji, Suman, Manjusri Das, Jingwei Lu, et al.. (2014). Nanofiber‐expanded human umbilical cord blood–derived CD34+ cell therapy accelerates cutaneous wound closure in NOD/SCID mice. Journal of Cellular and Molecular Medicine. 18(4). 685–697. 14 indexed citations
10.
Das, Hiranmoy, Zhihui Wang, Muhammad Khalid Khan Niazi, et al.. (2013). Impact of Diffusion Barriers to Small Cytotoxic Molecules on the Efficacy of Immunotherapy in Breast Cancer. PLoS ONE. 8(4). e61398–e61398. 27 indexed citations
11.
Kanji, Suman, Manjusri Das, Jingwei Lu, et al.. (2013). Nanofiber-expanded human umbilical cord blood-derived CD34+ cell therapy accelerates murine cutaneous wound closure by attenuating pro-inflammatory factors and secreting IL-10. Stem Cell Research. 12(1). 275–288. 27 indexed citations
12.
Das, Hiranmoy, Zhihui Wang, Muhammad Khalid Khan Niazi, et al.. (2013). Correction: Impact of Diffusion Barriers to Small Cytotoxic Molecules on the Efficacy of Immunotherapy in Breast Cancer. PLoS ONE. 8(10). 4 indexed citations
13.
Lu, Jingwei, Suman Kanji, Manjusri Das, et al.. (2013). Human Vγ2Vδ2 T cells limit breast cancer growth by modulating cell survival‐, apoptosis‐related molecules and microenvironment in tumors. International Journal of Cancer. 133(9). 2133–2144. 30 indexed citations
14.
Lu, Jingwei, Suman Kanji, Matthew Joseph, et al.. (2012). Human Umbilical Cord Blood-Derived CD34+ Cells Reverse Osteoporosis in NOD/SCID Mice by Altering Osteoblastic and Osteoclastic Activities. PLoS ONE. 7(6). e39365–e39365. 32 indexed citations
15.
Lu, Jingwei, Vincent J. Pompili, & Hiranmoy Das. (2011). Neovascularization and Hematopoietic Stem Cells. Cell Biochemistry and Biophysics. 67(2). 235–245. 19 indexed citations
16.
Lu, Jingwei, Suman Kanji, Manjusri Das, et al.. (2011). Human Ovarian Tumor Cells Escape γδ T Cell Recognition Partly by Down Regulating Surface Expression of MICA and Limiting Cell Cycle Related Molecules. PLoS ONE. 6(9). e23348–e23348. 24 indexed citations
17.
Lu, Jingwei, et al.. (2010). A Novel Technology for Hematopoietic Stem Cell Expansion Using Combination of Nanofiber and Growth Factors. Recent Patents on Nanotechnology. 4(2). 125–134. 22 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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