C. K. Lin
Impact in
- Biochemistry top 2%
- Blood transfusion and management
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Blood transfusion and management 5
- Epidemiology 12
- Hepatitis B Virus Studies 7
- Cervical Cancer and HPV Research 2
- Influenza Virus Research Studies 2
- Co-authors
- Pak‐Leung Ho (7 shared papers)Cheuk Kwong Lee (4 shared papers)Kwok‐Yung Yuen (2 shared papers)Ivan Fan‐Ngai Hung (2 shared papers)James Fung (5 shared papers)Richard Man Fung Yuen (5 shared papers)Ching‐Lung Lai (5 shared papers)Danny Ka‐Ho Wong (5 shared papers)
In The Last Decade
C. K. Lin
30 papers receiving 1.5k citations
C. K. Lin's Hit Papers
Peers
Comparison fields: 5 of 48
- Biochemistry 173
- Infectious Diseases 452
- Management of Technology and Innovation 151
- Epidemiology 470
- Genetics 38
Countries citing papers authored by C. K. Lin
This map shows the geographic impact of C. K. Lin'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 C. K. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. K. Lin more than expected).
Fields of papers citing papers by C. K. Lin
This network shows the impact of papers produced by C. K. Lin. 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 C. K. Lin. The network helps show where C. K. Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside C. K. Lin, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convalescent Plasma Treatment Reduced Mortality in Patients With Severe Pandemic Influenza A (H1N1) 2009 Virus Infection Hit paper breakdown → | 2011 | 553 |
| 2 | 2013 | 249 | |
| 3 | 2005 | 129 | |
| 4 | 2011 | 80 | |
| 5 | 2010 | 62 | |
| 6 | 1999 | 56 | |
| 7 | 2002 | 55 | |
| 8 | 2014 | 53 | |
| 9 | 2011 | 41 | |
| 10 | 2013 | 41 | |
| 11 | 2002 | 39 | |
| 12 | 2013 | 37 | |
| 13 | 2003 | 35 | |
| 14 | 2004 | 34 | |
| 15 | 2007 | 33 | |
| 16 | 2005 | 32 | |
| 17 | 2014 | 20 | |
| 18 | 2012 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2013 | 12 |
About C. K. Lin
C. K. Lin is a scholar working on Biochemistry, Epidemiology, Management of Technology and Innovation, Hematology and Pharmacology, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Blood transfusion and management (5 papers), Blood donation and transfusion practices (4 papers), Cervical Cancer and HPV Research (2 papers), Influenza Virus Research Studies (2 papers), Hemophilia Treatment and Research (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Biochemistry (173 citations), Infectious Diseases (452 citations), Management of Technology and Innovation (151 citations), Epidemiology (470 citations) and Genetics (38 citations). C. K. Lin has collaborated with scholars based in Hong Kong, China and Japan. Frequent co-authors include Pak‐Leung Ho, Cheuk Kwong Lee, Kwok‐Yung Yuen, Ivan Fan‐Ngai Hung, James Fung, Richard Man Fung Yuen, Ching‐Lung Lai, Danny Ka‐Ho Wong, Raymond Liu and Candy C. Y. Lau. Their work appears in journals such as Vox Sanguinis, Transfusion, Clinical Infectious Diseases, Transfusion Medicine and PLoS ONE.
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.