Jongwon Im

979 citations
6 papers · 548 · 3 hit papers · h-index 6

Impact in

Papers in

    • Cancer Research and Treatments 4
    • Bacteriophages and microbial interactions 3

Jongwon Im

6 papers receiving 540 citations

Jongwon Im's Hit Papers

Probiotic neoantigen delivery vectors for precision cancer immunotherapy 2024 · 94 citations
940+1+2Years since publication50100150

Peers

Jongwon Im
Comparison fields: 5 of 64
  • Biotechnology 273
  • Biomedical Engineering 240
  • Immunology 77
  • Oncology 84
  • Genetics 85
Replace Fangda Li with:
Fangda Li China
Kelly Pu United States
Sreyan Chowdhury United States
Christopher Plescia United States
Rudy Christmas United States
Tetsuhiro Harimoto United States
Kenia de los Santos-Alexis United States
Rosa L. Vincent United States
Mai T. Duong South Korea
Candice R. Gurbatri United States
Jongwon Im relative to Fangda Li China Fangda Li's profile →
Citations per field
00.5×1.5×
Fangda Li · 1×
Citations per year

Countries citing papers authored by Jongwon Im

Since Specialization
Citations

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

Fields of papers citing papers by Jongwon Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jongwon Im, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jongwon Im Line = papers co-authored together Jongwon Im links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
A programmable encapsulation system improves delivery of therapeutic bacteria in mice
Hit paper breakdown →
2022185
2
Probiotic-guided CAR-T cells for solid tumor targeting
Hit paper breakdown →
2023170
3
Probiotic neoantigen delivery vectors for precision cancer immunotherapy
Hit paper breakdown →
202494
4 202373
5 202116
6 202410

About Jongwon Im

Jongwon Im is a scholar working on Biotechnology, Ecology, Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 548 indexed citations. Recurring topics across this work include Cancer Research and Treatments (4 papers), Bacteriophages and microbial interactions (3 papers), Virus-based gene therapy research (1 paper), Nanoplatforms for cancer theranostics (1 paper), Immunotherapy and Immune Responses (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Biotechnology (273 citations), Biomedical Engineering (240 citations), Immunology (77 citations), Oncology (84 citations) and Genetics (85 citations). Jongwon Im has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Tal Danino, Jaeseung Hahn, Nicholas Arpaia, Fangda Li, Tetsuhiro Harimoto, Kam W. Leong, Courtney Coker, Candice R. Gurbatri, Andrew Redenti and Mathieu Rouanne. Their work appears in journals such as Advanced Science, Nature Biotechnology, Nature Chemical Biology, Science and Nature.

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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