Jaeseung Hahn

980 total citations · 2 hit papers
10 papers, 717 citations indexed

About

Jaeseung Hahn is a scholar working on Ecology, Molecular Biology and Biotechnology. According to data from OpenAlex, Jaeseung Hahn has authored 10 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Ecology, 5 papers in Molecular Biology and 5 papers in Biotechnology. Recurrent topics in Jaeseung Hahn's work include Bacteriophages and microbial interactions (6 papers), Cancer Research and Treatments (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jaeseung Hahn is often cited by papers focused on Bacteriophages and microbial interactions (6 papers), Cancer Research and Treatments (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Jaeseung Hahn collaborates with scholars based in United States, Australia and Germany. Jaeseung Hahn's co-authors include William M. Shih, Shelley F. J. Wickham, Steven D. Perrault, Jongwon Im, Tal Danino, Tetsuhiro Harimoto, Kam W. Leong, Fangda Li, Nicholas Arpaia and Nicholas Hou and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jaeseung Hahn

10 papers receiving 712 citations

Hit Papers

A programmable encapsulat... 2022 2026 2023 2024 2022 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaeseung Hahn United States 7 492 274 173 130 53 10 717
Wangteng Wu China 10 263 0.5× 332 1.2× 120 0.7× 71 0.5× 111 2.1× 18 792
Thapakorn Jaroentomeechai United States 15 514 1.0× 66 0.2× 77 0.4× 114 0.9× 56 1.1× 24 718
Shuang Qing China 9 343 0.7× 294 1.1× 106 0.6× 61 0.5× 248 4.7× 10 705
Neetu M. Gulati United States 13 188 0.4× 82 0.3× 68 0.4× 131 1.0× 50 0.9× 15 456
Piper A. Rawding United States 8 170 0.3× 142 0.5× 80 0.5× 36 0.3× 54 1.0× 12 383
Martina L. Jones Australia 15 454 0.9× 127 0.5× 37 0.2× 76 0.6× 98 1.8× 39 786
Frank A. Veliz United States 11 109 0.2× 105 0.4× 134 0.8× 159 1.2× 87 1.6× 14 450
Špela Peternel Slovenia 11 422 0.9× 66 0.2× 144 0.8× 95 0.7× 30 0.6× 16 568
Nhung Thi Hong Dinh South Korea 5 330 0.7× 268 1.0× 134 0.8× 92 0.7× 124 2.3× 8 628
Fabian J. Eber Germany 12 352 0.7× 152 0.6× 99 0.6× 404 3.1× 9 0.2× 16 693

Countries citing papers authored by Jaeseung Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Jaeseung Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaeseung Hahn

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

All Works

10 of 10 papers shown
1.
Im, Jongwon, Fangda Li, Mathieu Rouanne, et al.. (2024). Probiotic neoantigen delivery vectors for precision cancer immunotherapy. Nature. 635(8038). 453–461. 70 indexed citations breakdown →
2.
Hahn, Jaeseung, Zihan Wang, Suwan Ding, et al.. (2024). Iron-Tannin Coating Reduces Clearance and Increases Tumor Colonization of Systemically Delivered Bacteria. ACS Synthetic Biology. 13(12). 3948–3960. 1 indexed citations
3.
Hahn, Jaeseung, Suwan Ding, Jongwon Im, et al.. (2023). Bacterial therapies at the interface of synthetic biology and nanomedicine. Nature Reviews Bioengineering. 2(2). 120–135. 60 indexed citations
4.
Molotkov, Andrei, et al.. (2023). SYST-31 PROBIOTIC DELIVERY TO ORTHOTOPIC GLIOBLASTOMA MULTIFORME MODELS AS AN IMMUNOTHERAPY. Neuro-Oncology Advances. 5(Supplement_3). iii33–iii34. 1 indexed citations
5.
Harimoto, Tetsuhiro, Jaeseung Hahn, Yuyu Chen, et al.. (2022). A programmable encapsulation system improves delivery of therapeutic bacteria in mice. Nature Biotechnology. 40(8). 1259–1269. 171 indexed citations breakdown →
6.
Pinharanda, Ana, et al.. (2021). Evaluation of at-home methods for N95 filtering facepiece respirator decontamination. Scientific Reports. 11(1). 19750–19750. 3 indexed citations
7.
Wickham, Shelley F. J., Alexander Auer, Nandhini Ponnuswamy, et al.. (2020). Complex multicomponent patterns rendered on a 3D DNA-barrel pegboard. Nature Communications. 11(1). 5768–5768. 46 indexed citations
8.
Hahn, Jaeseung, et al.. (2020). Extrusion of RNA from a DNA-Origami-Based Nanofactory. ACS Nano. 14(2). 1550–1559. 34 indexed citations
9.
Hahn, Jaeseung & William M. Shih. (2019). Thermal cycling of DNA devices via associative strand displacement. Nucleic Acids Research. 47(20). 10968–10975. 14 indexed citations
10.
Hahn, Jaeseung, Shelley F. J. Wickham, William M. Shih, & Steven D. Perrault. (2014). Addressing the Instability of DNA Nanostructures in Tissue Culture. ACS Nano. 8(9). 8765–8775. 317 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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