Enping Hong

1.0k total citations
23 papers, 762 citations indexed

About

Enping Hong is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Enping Hong has authored 23 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 13 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Enping Hong's work include Immunotherapy and Immune Responses (14 papers), CAR-T cell therapy research (11 papers) and RNA Interference and Gene Delivery (11 papers). Enping Hong is often cited by papers focused on Immunotherapy and Immune Responses (14 papers), CAR-T cell therapy research (11 papers) and RNA Interference and Gene Delivery (11 papers). Enping Hong collaborates with scholars based in United States, Australia and Slovakia. Enping Hong's co-authors include Marina A. Dobrovolskaia, Kirill A. Afonin, Justin R. Halman, Tarek M. Fahmy, Emil F. Khisamutdinov, Fiona A. Sharp, Ankit Shah, Sune Justesen, Ragy Ragheb and Dongin Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Enping Hong

21 papers receiving 757 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enping Hong United States 11 423 339 211 170 79 23 762
Bongseo Choi United States 16 395 0.9× 295 0.9× 290 1.4× 165 1.0× 135 1.7× 26 974
Zhenguo Cheng China 19 458 1.1× 181 0.5× 114 0.5× 405 2.4× 37 0.5× 40 929
Zixi Hu China 15 349 0.8× 190 0.6× 183 0.9× 141 0.8× 91 1.2× 29 626
Ajay S. Thatte United States 16 512 1.2× 159 0.5× 177 0.8× 139 0.8× 98 1.2× 21 798
Allan Tobi Estonia 12 319 0.8× 156 0.5× 166 0.8× 99 0.6× 161 2.0× 15 597
Shozo Ohtsuki United States 15 345 0.8× 346 1.0× 152 0.7× 116 0.7× 67 0.8× 20 754
Daniel Yuen Australia 11 367 0.9× 192 0.6× 120 0.6× 64 0.4× 121 1.5× 17 610
Seong A Kim South Korea 12 387 0.9× 155 0.5× 146 0.7× 100 0.6× 33 0.4× 19 636
Saly Al‐Taei United Kingdom 10 759 1.8× 315 0.9× 88 0.4× 189 1.1× 42 0.5× 13 1.1k
Nianxi Zhao United States 14 585 1.4× 104 0.3× 167 0.8× 85 0.5× 76 1.0× 21 743

Countries citing papers authored by Enping Hong

Since Specialization
Citations

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

Fields of papers citing papers by Enping Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enping Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Enping Hong. A scholar is included among the top collaborators of Enping Hong 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 Enping Hong. Enping Hong 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.
Müftüoğlu, Muharrem, Enping Hong, Stephen A. Strickland, et al.. (2025). Abstract CT143: First-in-human, multicenter study of SENTI-202, a CD33/FLT3 selective off-the-shelf logic gated CAR NK cell therapy in hematologic malignancies including AML: Correlative data. Cancer Research. 85(8_Supplement_2). CT143–CT143. 2 indexed citations
2.
Hong, Enping & Marina A. Dobrovolskaia. (2024). Antigen-Specific Stimulation of CD8+ T Cells by Murine Bone Marrow–Derived Dendritic Cells After Treatment with Nanoparticles. Methods in molecular biology. 2789. 171–184. 1 indexed citations
3.
Hong, Enping & Marina A. Dobrovolskaia. (2024). Detection of Antigen Presentation by Murine Bone Marrow–Derived Dendritic Cells After Treatment with Nanoparticles. Methods in molecular biology. 2789. 161–169. 2 indexed citations
5.
Hong, Enping, Elizabeth Leitner, Priscilla Wong, et al.. (2023). Abstract 2905: SENTI-301A, an off-the-shelf multi-armed preclinical CAR-NK cell therapy, for the treatment of GPC3 expressing tumors. Cancer Research. 83(7_Supplement). 2905–2905. 2 indexed citations
6.
Chandler, Morgan, Sankalp Jain, Justin R. Halman, et al.. (2022). Artificial Immune Cell, AI‐cell , a New Tool to Predict Interferon Production by Peripheral Blood Monocytes in Response to Nucleic Acid Nanoparticles. Small. 18(46). e2204941–e2204941. 28 indexed citations
8.
McArdel, Shannon, Anne‐Sophie Dugast, Enping Hong, et al.. (2021). Anti-tumor effects of RTX-240: an engineered red blood cell expressing 4-1BB ligand and interleukin-15. Cancer Immunology Immunotherapy. 70(9). 2701–2719. 15 indexed citations
9.
Dugast, Anne‐Sophie, Shannon McArdel, Zafira Castaño, et al.. (2021). 208 RTX-224, an engineered allogeneic red cell therapeutic expressing 4–1BBL and IL-12, activates immune cells in blood and spleen to promote tumor growth inhibition in mice. SHILAP Revista de lepidopterología. A219–A219. 2 indexed citations
10.
11.
Dugast, Anne‐Sophie, Shannon McArdel, Enping Hong, et al.. (2020). 144 RTX-240, an allogeneic engineered red blood cell expressing 4–1BBL and IL-15TP, promotes NK cell functionality in vitro and in vivo. SHILAP Revista de lepidopterología. A87.1–A87. 1 indexed citations
12.
Hong, Enping, Justin R. Halman, Ankit Shah, et al.. (2019). Toll-Like Receptor-Mediated Recognition of Nucleic Acid Nanoparticles (NANPs) in Human Primary Blood Cells. Molecules. 24(6). 1094–1094. 46 indexed citations
13.
Hong, Enping & Marina A. Dobrovolskaia. (2018). Addressing barriers to effective cancer immunotherapy with nanotechnology: achievements, challenges, and roadmap to the next generation of nanoimmunotherapeutics. Advanced Drug Delivery Reviews. 141. 3–22. 44 indexed citations
14.
Hong, Enping, Justin R. Halman, Ankit Shah, et al.. (2018). Structure and Composition Define Immunorecognition of Nucleic Acid Nanoparticles. Nano Letters. 18(7). 4309–4321. 104 indexed citations
15.
Ke, Weina, Enping Hong, Renata de Freitas Saito, et al.. (2018). RNA–DNA fibers and polygons with controlled immunorecognition activate RNAi, FRET and transcriptional regulation of NF-κB in human cells. Nucleic Acids Research. 47(3). 1350–1361. 63 indexed citations
16.
Kibbi, Nour, Enping Hong, Harib Ezaldein, et al.. (2016). Quantifying in vivo murine antigen-specific T cell responses without requirement for prior knowledge of antigen identity. Transfusion and Apheresis Science. 56(2). 179–189.
17.
Hong, Enping, Ilana M. Usiskin, Cristina Bergamaschi, et al.. (2015). Configuration-dependent Presentation of Multivalent IL-15:IL-15Rα Enhances the Antigen-specific T Cell Response and Anti-tumor Immunity. Journal of Biological Chemistry. 291(17). 8931–8950. 26 indexed citations
18.
Fadel, Tarek R., Fiona A. Sharp, Nalini Vudattu, et al.. (2014). A carbon nanotube–polymer composite for T-cell therapy. Nature Nanotechnology. 9(8). 639–647. 200 indexed citations
19.
Hanlon, Douglas, Sandeep Saluja, Fiona A. Sharp, et al.. (2014). Targeting human dendritic cells via DEC-205 using PLGA nanoparticles leads to enhanced cross-presentation of a melanoma-associated antigen. International Journal of Nanomedicine. 9. 5231–5231. 82 indexed citations
20.
Malik, Ahsan, Rafaz Hoque, Xinshou Ouyang, et al.. (2011). Inflammasome components Asc and caspase-1 mediate biomaterial-induced inflammation and foreign body response. Proceedings of the National Academy of Sciences. 108(50). 20095–20100. 85 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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