Jiwon Shim
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Immunology top 5%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
- Immune Cell Function and Interaction
Papers in
- Immunology 20
- Invertebrate Immune Response Mechanisms 19
- Aquaculture disease management and microbiota 6
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- Neurobiology and Insect Physiology Research 12
- Co-authors
- Utpal Banerjee (6 shared papers)Tina Mukherjee (3 shared papers)Bumsik Cho (9 shared papers)Sergey Sinenko (1 shared paper)Jin‐Wu Nam (4 shared papers)Bama Charan Mondal (2 shared papers)Mingyu Shin (8 shared papers)Shubha Gururaja Rao (1 shared paper)
- Journals
- BMB Reports (3 papers)eLife (3 papers)Nature Communications (2 papers)Molecules and Cells (2 papers)Development (2 papers)
- Partner nations
- South KoreaUnited StatesHungary
In The Last Decade
Jiwon Shim
30 papers receiving 918 citations
Peers
Comparison fields: 5 of 80
- Aging 100
- Immunology 598
- Insect Science 245
- Cellular and Molecular Neuroscience 300
- Cell Biology 91
Countries citing papers authored by Jiwon Shim
This map shows the geographic impact of Jiwon Shim'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 Jiwon Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiwon Shim more than expected).
Fields of papers citing papers by Jiwon Shim
This network shows the impact of papers produced by Jiwon Shim. 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 Jiwon Shim. The network helps show where Jiwon Shim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiwon Shim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 125 | |
| 2 | 2012 | 109 | |
| 3 | 2011 | 96 | |
| 4 | 2020 | 95 | |
| 5 | 2013 | 89 | |
| 6 | 2013 | 62 | |
| 7 | 2014 | 48 | |
| 8 | 2009 | 46 | |
| 9 | 2020 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2016 | 20 | |
| 13 | 2017 | 19 | |
| 14 | 2024 | 19 | |
| 15 | 2017 | 14 | |
| 16 | 2004 | 14 | |
| 17 | 2012 | 14 | |
| 18 | 2015 | 13 | |
| 19 | 2020 | 11 | |
| 20 | 2022 | 9 |
About Jiwon Shim
Jiwon Shim is a scholar working on Immunology, Cellular and Molecular Neuroscience, Molecular Biology, Insect Science and Ecology, having authored 31 papers that have together received 928 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (19 papers), Neurobiology and Insect Physiology Research (12 papers), Insect symbiosis and bacterial influences (6 papers), Aquaculture disease management and microbiota (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Physiological and biochemical adaptations (4 papers), Insect Utilization and Effects (2 papers) and Neural and Behavioral Psychology Studies (2 papers). The work is most often cited by research in Aging (100 citations), Immunology (598 citations), Insect Science (245 citations), Cellular and Molecular Neuroscience (300 citations) and Cell Biology (91 citations). Jiwon Shim has collaborated with scholars based in South Korea, United States and Hungary. Frequent co-authors include Utpal Banerjee, Tina Mukherjee, Bumsik Cho, Sergey Sinenko, Jin‐Wu Nam, Bama Charan Mondal, Mingyu Shin, Shubha Gururaja Rao, Junho Lee and Sang-Ho Yoon. Their work appears in journals such as BMB Reports, eLife, Nature Communications, Molecules and Cells and Development.
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.