Lingfeng Liu

1.9k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Lingfeng Liu is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Lingfeng Liu has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Lingfeng Liu's work include CAR-T cell therapy research (7 papers), Nanowire Synthesis and Applications (4 papers) and Immunotherapy and Immune Responses (2 papers). Lingfeng Liu is often cited by papers focused on CAR-T cell therapy research (7 papers), Nanowire Synthesis and Applications (4 papers) and Immunotherapy and Immune Responses (2 papers). Lingfeng Liu collaborates with scholars based in United States, China and Germany. Lingfeng Liu's co-authors include Stanley R. Riddell, Daniel Sommermeyer, Michael Hudecek, Michael C. Jensen, Paula L. Kosasih, Christoph Rader, Anne Silva-Benedict, Alexander I. Salter, Anusha Rajan and Amanda G. Paulovich and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Nature Biotechnology.

In The Last Decade

Lingfeng Liu

11 papers receiving 1.4k citations

Hit Papers

The Nonsignaling Extracellular Spacer Domain of Chimeric ... 2014 2026 2018 2022 2014 100 200 300 400

Peers

Lingfeng Liu
Sang M. Nguyen United States
M. Eric Kohler United States
Gertrude Gunset United States
Anusha Rajan United States
Kelsey M. Wanhainen United States
Aruna Mahendravada United States
Waleed Haso United States
Sang M. Nguyen United States
Lingfeng Liu
Citations per year, relative to Lingfeng Liu Lingfeng Liu (= 1×) peers Sang M. Nguyen

Countries citing papers authored by Lingfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lingfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingfeng Liu

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

All Works

12 of 12 papers shown
2.
Wen, Jingjing, Jiajie Yang, Lilin Liu, et al.. (2023). Valproic acid increases CAR T cell cytotoxicity against acute myeloid leukemia. Journal for ImmunoTherapy of Cancer. 11(7). e006857–e006857. 25 indexed citations
3.
Liu, Zeying, Peng Xiao, Lingfeng Liu, et al.. (2020). Magnetothermally responsive composite submicron particles for recyclable catalytic applications. Chemical Engineering Journal. 399. 125553–125553. 11 indexed citations
4.
Pont, Margot J., Tyler Hill, Gabriel O. Cole, et al.. (2019). γ-Secretase inhibition increases efficacy of BCMA-specific chimeric antigen receptor T cells in multiple myeloma. Blood. 134(19). 1585–1597. 238 indexed citations
5.
Salter, Alexander I., Richard G. Ivey, Jacob J. Kennedy, et al.. (2018). Phosphoproteomic analysis of chimeric antigen receptor signaling reveals kinetic and quantitative differences that affect cell function. Science Signaling. 11(544). 342 indexed citations
6.
Paszkiewicz, Paulina J., Simon P. Fräßle, Shivani Srivastava, et al.. (2016). Targeted antibody-mediated depletion of murine CD19 CAR T cells permanently reverses B cell aplasia. Journal of Clinical Investigation. 126(11). 4262–4272. 222 indexed citations
7.
Wang, Jian, Haiping Tang, Yaping He, et al.. (2016). Epitomics: IgG-epitome decoding of E6, E7 and L1 proteins from oncogenic human papillomavirus type 58. Scientific Reports. 6(1). 34686–34686. 14 indexed citations
8.
Liu, Lingfeng, Daniel Sommermeyer, Alexandra Cabanov, et al.. (2016). Inclusion of Strep-tag II in design of antigen receptors for T-cell immunotherapy. Nature Biotechnology. 34(4). 430–434. 54 indexed citations
9.
Hudecek, Michael, Daniel Sommermeyer, Paula L. Kosasih, et al.. (2014). The Nonsignaling Extracellular Spacer Domain of Chimeric Antigen Receptors Is Decisive for In Vivo Antitumor Activity. Cancer Immunology Research. 3(2). 125–135. 406 indexed citations breakdown →
10.
Riddell, Stanley R., Daniel Sommermeyer, Carolina Berger, et al.. (2014). Adoptive Therapy With Chimeric Antigen Receptor–Modified T Cells of Defined Subset Composition. The Cancer Journal. 20(2). 141–144. 86 indexed citations
11.
Liu, Lingfeng, Chaoneng Ji, Jinzhong Chen, et al.. (2008). A global genomic view of MIF knockdown-mediated cell cycle arrest. Cell Cycle. 7(11). 1678–1692. 25 indexed citations
12.
Liu, Lingfeng, Jinzhong Chen, Chaoneng Ji, et al.. (2008). Macrophage Migration Inhibitory Factor (MIF) Interacts with Bim and Inhibits Bim-mediated Apoptosis. Molecules and Cells. 26(2). 193–199. 14 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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