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
-
- Vector-borne infectious diseases 7
- Toxoplasma gondii Research Studies 2
-
- Immune Cell Function and Interaction 2
- Immune Response and Inflammation 2
- Co-authors
- Nam‐Hyuk ChoMyung‐Sik ChoiYuri KimNa‐Young HaKim YsKyung Mok SohnAbdimadiyeva AigerimShinhye Cheon
- Journals
- Emerging Microbes & Infections (2 papers)PLoS neglected tropical diseases (2 papers)PLoS ONE (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesEthiopia
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-authorship network
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 | 2021 | 9 | |
| 2 | 2020 | 28 | |
| 3 | 2020 | 5 | |
| 4 | 2019 | 17 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 61 | |
| 7 | 2017 | 2 | |
| 8 | 2017 | 23 | |
| 9 | 2016 | 6 | |
| 10 | 2016 | 289 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 74 | |
| 13 | 2015 | 46 | |
| 14 | 2014 | 25 | |
| 15 | 2014 | 6 | |
| 16 | 2008 | 42 |
About Chan-Ki Min
Chan-Ki Min is a scholar working on Parasitology, Immunology, Infectious Diseases, Clinical Biochemistry and Hepatology, 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), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Immune Cell Function and Interaction (2 papers), Herpesvirus Infections and Treatments (2 papers), Immune Response and Inflammation (2 papers) and Toxoplasma gondii Research Studies (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, United States and Ethiopia. Frequent co-authors include Nam‐Hyuk Cho, Myung‐Sik Choi, Yuri Kim, Na‐Young Ha, Kim Ys, Kyung Mok Sohn, Abdimadiyeva Aigerim, Shinhye Cheon, Hyun Mu Shin 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 Scientific Reports.
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.