Chan-Ki Min
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
Papers in
-
- Toxin Mechanisms and Immunotoxins 2
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
-
- Vector-borne infectious diseases 7
- Co-authors
- Nam‐Hyuk Cho (14 shared papers)Myung‐Sik Choi (13 shared papers)Yuri Kim (8 shared papers)Na‐Young Ha (7 shared papers)Kim Ys (5 shared papers)Abdimadiyeva Aigerim (3 shared papers)Hyun Mu Shin (3 shared papers)Shinhye Cheon (2 shared papers)
- Journals
- Emerging Microbes & Infections (2 papers)PLoS neglected tropical diseases (2 papers)PLoS ONE (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- South KoreaEthiopiaUnited States
In The Last Decade
Chan-Ki Min
16 papers receiving 656 citations
Peers
Comparison fields: 5 of 77
- Parasitology 169
- Infectious Diseases 389
- Modeling and Simulation 34
- Neurology 111
- Animal Science and Zoology 52
Countries citing papers authored by Chan-Ki Min
This map shows the geographic impact of Chan-Ki Min'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 Chan-Ki Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan-Ki Min more than expected).
Fields of papers citing papers by Chan-Ki Min
This network shows the impact of papers produced by Chan-Ki Min. 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 Chan-Ki Min. The network helps show where Chan-Ki Min may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan-Ki Min, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 289 | |
| 2 | 2016 | 74 | |
| 3 | 2017 | 61 | |
| 4 | 2015 | 46 | |
| 5 | 2008 | 42 | |
| 6 | 2020 | 28 | |
| 7 | 2014 | 25 | |
| 8 | 2018 | 24 | |
| 9 | 2017 | 23 | |
| 10 | 2019 | 17 | |
| 11 | 2021 | 9 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 6 | |
| 14 | 2014 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2017 | 2 |
About Chan-Ki Min
Chan-Ki Min is a scholar working on Immunology, Parasitology, Molecular Biology, Plant Science and Infectious Diseases, having authored 16 papers that have together received 666 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (7 papers), Plant Virus Research Studies (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Parasitology (169 citations), Infectious Diseases (389 citations), Modeling and Simulation (34 citations), Neurology (111 citations) and Animal Science and Zoology (52 citations). Chan-Ki Min has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Nam‐Hyuk Cho, Myung‐Sik Choi, Yuri Kim, Na‐Young Ha, Kim Ys, Abdimadiyeva Aigerim, Hyun Mu Shin, Shinhye Cheon, Kyung Mok Sohn and Ik-Sang Kim. Their work appears in journals such as Emerging Microbes & Infections, PLoS neglected tropical diseases, PLoS ONE, Frontiers in Cellular and Infection Microbiology and Frontiers in Microbiology.
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.