Green Kim
Impact in
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- Phytochemicals and Medicinal Plants
- Medicinal Plants and Neuroprotection
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
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- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 6
- Clostridium difficile and Clostridium perfringens research 3
- Viral Infections and Vectors 3
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- Gut microbiota and health 3
- Co-authors
- Jong‐Hwan Park (9 shared papers)Jung Joo Hong (16 shared papers)Eunha Hwang (14 shared papers)Bon‐Sang Koo (14 shared papers)Hanseul Oh (9 shared papers)Kyu‐Tae Chang (2 shared papers)JooHee Choi (1 shared paper)Tae‐Hyoun Kim (2 shared papers)
- Journals
- Journal of Medical Primatology (2 papers)Frontiers in Microbiology (2 papers)The Journal of Infectious Diseases (2 papers)Archives of Virology (2 papers)Immune Network (2 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Green Kim
20 papers receiving 237 citations
Peers
Comparison fields: 5 of 72
- Complementary and alternative medicine 36
- Infectious Diseases 79
- Food Science 47
- Immunology 40
- Animal Science and Zoology 14
Countries citing papers authored by Green Kim
This map shows the geographic impact of Green Kim'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 Green Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Green Kim more than expected).
Fields of papers citing papers by Green Kim
This network shows the impact of papers produced by Green Kim. 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 Green Kim. The network helps show where Green Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Green Kim, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 54 | |
| 2 | 2017 | 32 | |
| 3 | 2020 | 25 | |
| 4 | 2017 | 17 | |
| 5 | 2019 | 17 | |
| 6 | 2015 | 15 | |
| 7 | 2024 | 11 | |
| 8 | 2017 | 10 | |
| 9 | 2020 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2023 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Green Kim
Green Kim is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Surgery and Epidemiology, having authored 23 papers that have together received 241 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (6 papers), Gut microbiota and health (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Viral Infections and Vectors (3 papers), Mosquito-borne diseases and control (3 papers), Phytochemicals and Medicinal Plants (2 papers) and Gastrointestinal motility and disorders (2 papers). The work is most often cited by research in Complementary and alternative medicine (36 citations), Infectious Diseases (79 citations), Food Science (47 citations), Immunology (40 citations) and Animal Science and Zoology (14 citations). Green Kim has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Jong‐Hwan Park, Jung Joo Hong, Eunha Hwang, Bon‐Sang Koo, Hanseul Oh, Kyu‐Tae Chang, JooHee Choi, Tae‐Hyoun Kim, Jae‐Hak Park and Sanggyu Yim. Their work appears in journals such as Journal of Medical Primatology, Frontiers in Microbiology, The Journal of Infectious Diseases, Archives of Virology and Immune Network.
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.