Y. K. Paik
- Pathology and Forensic Medicine top 5%
- Epidemiology
- Molecular Biology
- Genetics
- Endocrinology, Diabetes and Metabolism
- Co-authors
- H. W. GoeddeR LiskerN. SahaD. P. AgarwalFrancisco RothhammerBingliang FangSurjit SinghL. M. Srivastava
- Topics
- Genetic diversity and population structure (3 papers)Advanced Proteomics Techniques and Applications (2 papers)Genetic factors in colorectal cancer (2 papers)
- Partner nations
- South KoreaGermanyAustralia
In The Last Decade
Y. K. Paik
12 papers receiving 589 citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 343
- Epidemiology 216
- Molecular Biology 150
- Genetics 88
- Endocrinology, Diabetes and Metabolism 63
Countries citing papers authored by Y. K. Paik
This map shows the geographic impact of Y. K. Paik'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 Y. K. Paik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. K. Paik more than expected).
Fields of papers citing papers by Y. K. Paik
This network shows the impact of papers produced by Y. K. Paik. 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 Y. K. Paik. The network helps show where Y. K. Paik may publish in the future.
Co-authorship network of co-authors of Y. K. Paik
This figure shows the co-authorship network connecting the top 25 collaborators of Y. K. Paik. A scholar is included among the top collaborators of Y. K. Paik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Y. K. Paik. Y. K. Paik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | Expression of hMLH1 is inactivated in the gastric adenomas with enhanced microsatellite instability | 2 |
| 5 | 80 | |
| 6 | 2 | |
| 7 | 436 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | Clostridium perfringens cultured from a Hawaiian sardine, Sardinella marquesensis. | 4 |
| 11 | 26 | |
| 12 | Temporal pattern of gene arrangement frequency in altitudinal populations of Drosophila immigrans on Mauna Loa, Hawaii | 1 |
| 13 | Urinary C-reactive protein and lysozyme in renal homotransplantation. | 2 |
About Y. K. Paik
Y. K. Paik is a scholar working on Transplantation, Genetics and Pathology and Forensic Medicine, having authored 13 papers that have together received 613 indexed citations. Recurring topics across this work include Genetic diversity and population structure (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (343 citations), Biochemistry (50 citations) and Epidemiology (216 citations). Y. K. Paik has collaborated with scholars based in South Korea, Germany and Australia. Frequent co-authors include H. W. Goedde, R Lisker, N. Saha, D. P. Agarwal, Francisco Rothhammer, Bingliang Fang, Surjit Singh, L. M. Srivastava, K. Bhatia and B Segal. Their work appears in journals such as Nucleic Acids Research, British Journal of Cancer and Human Genetics.
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.