Tiejuan Mi

4.8k total citations · 1 hit paper
39 papers, 3.8k citations indexed

About

Tiejuan Mi is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Tiejuan Mi has authored 39 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 12 papers in Molecular Biology and 11 papers in Immunology. Recurrent topics in Tiejuan Mi's work include CAR-T cell therapy research (19 papers), Immune Cell Function and Interaction (6 papers) and CRISPR and Genetic Engineering (6 papers). Tiejuan Mi is often cited by papers focused on CAR-T cell therapy research (19 papers), Immune Cell Function and Interaction (6 papers) and CRISPR and Genetic Engineering (6 papers). Tiejuan Mi collaborates with scholars based in United States, China and United Kingdom. Tiejuan Mi's co-authors include Margaret A. Goodell, Kathyjo A. Jackson, Yang Xia, Laurence J.N. Cooper, Rodney E. Kellems, Simon Olivares, Harjeet Singh, Richard E. Champlin, Helen Huls and Dean A. Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Circulation.

In The Last Decade

Tiejuan Mi

37 papers receiving 3.7k citations

Hit Papers

Hematopoietic potential of stem cells isolated from murin... 1999 2026 2008 2017 1999 250 500 750

Peers

Tiejuan Mi
Tiejuan Mi
Citations per year, relative to Tiejuan Mi Tiejuan Mi (= 1×) peers Jean Michel Foidart

Countries citing papers authored by Tiejuan Mi

Since Specialization
Citations

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

Fields of papers citing papers by Tiejuan Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejuan Mi

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejuan Mi. A scholar is included among the top collaborators of Tiejuan Mi 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 Tiejuan Mi. Tiejuan Mi 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.
Qi, Yun, Jinrui Zhang, Huan Li, et al.. (2025). Stimulated Brillouin scattering microscopy with a high-peak-power 780-nm pulsed laser system. Nature Photonics. 19(8). 879–887. 1 indexed citations
2.
Hurton, Lenka V., Harjeet Singh, Amer Najjar, et al.. (2016). Tethered IL-15 augments antitumor activity and promotes a stem-cell memory subset in tumor-specific T cells. Proceedings of the National Academy of Sciences. 113(48). E7788–E7797. 341 indexed citations
3.
Torikai, Hiroki, Tiejuan Mi, Loren Gragert, et al.. (2016). Genetic editing of HLA expression in hematopoietic stem cells to broaden their human application. Scientific Reports. 6(1). 21757–21757. 38 indexed citations
4.
Najjar, Amer, Pallavi R. Manuri, Simon Olivares, et al.. (2016). Imaging of Sleeping Beauty-Modified CD19-Specific T Cells Expressing HSV1-Thymidine Kinase by Positron Emission Tomography. Molecular Imaging and Biology. 18(6). 838–848. 19 indexed citations
5.
Thokala, Radhika, Simon Olivares, Tiejuan Mi, et al.. (2016). Redirecting Specificity of T cells Using the Sleeping Beauty System to Express Chimeric Antigen Receptors by Mix-and-Matching of VL and VH Domains Targeting CD123+ Tumors. PLoS ONE. 11(8). e0159477–e0159477. 51 indexed citations
6.
Hurton, Lenka V., Harjeet Singh, Kirsten C. Switzer, et al.. (2016). Very Rapid Production of CAR+ T-Cells upon Non-Viral Gene Transfer Using the Sleeping Beauty System. Blood. 128(22). 2807–2807. 1 indexed citations
7.
Krishnamurthy, Janani, Brian Rabinovich, Tiejuan Mi, et al.. (2015). Genetic Engineering of T Cells to Target HERV-K, an Ancient Retrovirus on Melanoma. Clinical Cancer Research. 21(14). 3241–3251. 89 indexed citations
8.
Caruso, Hillary G., Lenka V. Hurton, Amer Najjar, et al.. (2015). Tuning Sensitivity of CAR to EGFR Density Limits Recognition of Normal Tissue While Maintaining Potent Antitumor Activity. Cancer Research. 75(17). 3505–3518. 324 indexed citations
9.
Deniger, Drew C., Jianqiang Yu, M. Helen Huls, et al.. (2015). Sleeping Beauty Transposition of Chimeric Antigen Receptors Targeting Receptor Tyrosine Kinase-Like Orphan Receptor-1 (ROR1) into Diverse Memory T-Cell Populations. PLoS ONE. 10(6). e0128151–e0128151. 44 indexed citations
10.
Deniger, Drew C., Sourindra N. Maiti, Tiejuan Mi, et al.. (2014). Activating and Propagating Polyclonal Gamma Delta T Cells with Broad Specificity for Malignancies. Clinical Cancer Research. 20(22). 5708–5719. 104 indexed citations
11.
Switzer, Kirsten C., Tiejuan Mi, Sourindra Maiti, et al.. (2013). Bispecific T-cells Expressing Polyclonal Repertoire of Endogenous γδ T-cell Receptors and Introduced CD19-specific Chimeric Antigen Receptor. Molecular Therapy. 21(3). 638–647. 150 indexed citations
12.
Zhou, Cissy Chenyi, Jiang Chang, Tiejuan Mi, et al.. (2012). Targeted Expression of Cre Recombinase Provokes Placental-Specific DNA Recombination in Transgenic Mice. PLoS ONE. 7(2). e29236–e29236. 12 indexed citations
13.
Singh, Harjeet, Matthew J. Figliola, Margaret J. Dawson, et al.. (2011). Reprogramming CD19-Specific T Cells with IL-21 Signaling Can Improve Adoptive Immunotherapy of B-Lineage Malignancies. Cancer Research. 71(10). 3516–3527. 161 indexed citations
14.
Mi, Tiejuan, Sandeep Deverasetty, Michael R. Gryk, et al.. (2011). Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences. Nucleic Acids Research. 40(D1). D252–D260. 47 indexed citations
15.
Wilson, Matthew H., Sourindra N. Maiti, Tiejuan Mi, et al.. (2009). piggyBac Transposon/Transposase System to Generate CD19-Specific T Cells for the Treatment of B-Lineage Malignancies. Human Gene Therapy. 21(4). 427–437. 108 indexed citations
16.
Mi, Tiejuan, Shahrzad Abbasi, Hong Zhang, et al.. (2008). Excess adenosine in murine penile erectile tissues contributes to priapism via A2B adenosine receptor signaling. Journal of Clinical Investigation. 118(4). 1491–1501. 122 indexed citations
17.
Rajasekaran, Sanguthevar, Michael R. Gryk, Krishna Kadaveru, et al.. (2008). Minimotif miner 2nd release: a database and web system for motif search. Nucleic Acids Research. 37(Database). D185–D190. 52 indexed citations
18.
Zhou, Cissy Chenyi, Yujin Zhang, Roxanna A. Irani, et al.. (2008). Angiotensin receptor agonistic autoantibodies induce pre-eclampsia in pregnant mice. Nature Medicine. 14(8). 855–862. 350 indexed citations
19.
Chunn, Janci L., Jose G. Molina, Tiejuan Mi, et al.. (2005). Adenosine-Dependent Pulmonary Fibrosis in Adenosine Deaminase-Deficient Mice. The Journal of Immunology. 175(3). 1937–1946. 105 indexed citations
20.
Goodell, Margaret A., Kathyjo A. Jackson, Susan M. Majka, et al.. (2001). Stem Cell Plasticity in Muscle and Bone Marrow. Annals of the New York Academy of Sciences. 938(1). 208–220. 151 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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