Sin Kam
Impact in
- Family Practice top 5%
- Genetics top 5%
- Genetic Associations and Epidemiology
Papers in
- Genetics 30
- Genetic Associations and Epidemiology 30
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- Medication Adherence and Compliance 7
- Co-authors
- Tae Hoon Jung (32 shared papers)Jae Yong Park (30 shared papers)Chang Ho Kim (28 shared papers)Won Kee Lee (31 shared papers)Jin Eun Choi (21 shared papers)Sung Ick (21 shared papers)Jin Sung Jang (10 shared papers)Kyung Mee Kim (10 shared papers)
- Journals
- Lung Cancer (6 papers)Cancer Epidemiology Biomarkers & Prevention (5 papers)Journal of Korean Medical Science (4 papers)Molecular Carcinogenesis (3 papers)Korean Journal of Pediatrics (3 papers)
- Partner nations
- South KoreaUnited StatesNorway
In The Last Decade
Sin Kam
105 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 110
- Family Practice 72
- Genetics 655
- Oncology 374
- Otorhinolaryngology 76
- Immunology and Allergy 64
Countries citing papers authored by Sin Kam
This map shows the geographic impact of Sin Kam'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 Sin Kam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sin Kam more than expected).
Fields of papers citing papers by Sin Kam
This network shows the impact of papers produced by Sin Kam. 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 Sin Kam. The network helps show where Sin Kam may publish in the future.
Co-authors
The 25 scholars most cited alongside Sin Kam, 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 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 174 | |
| 2 | Polymorphism of the DNA repair gene XRCC1 and risk of primary lung cancer. | 2002 | 166 |
| 3 | 2005 | 123 | |
| 4 | 2017 | 107 | |
| 5 | 2007 | 96 | |
| 6 | Polymorphisms of the DNA repair gene xeroderma pigmentosum group A and risk of primary lung cancer. | 2002 | 94 |
| 7 | 2006 | 86 | |
| 8 | 2005 | 80 | |
| 9 | 2010 | 74 | |
| 10 | 2002 | 68 | |
| 11 | 2006 | 58 | |
| 12 | 2006 | 56 | |
| 13 | 2009 | 54 | |
| 14 | 2009 | 53 | |
| 15 | 2010 | 51 | |
| 16 | 2006 | 47 | |
| 17 | 2004 | 46 | |
| 18 | 2007 | 41 | |
| 19 | 2008 | 40 | |
| 20 | 2006 | 37 |
About Sin Kam
Sin Kam is a scholar working on Genetics, Family Practice, Oncology, Molecular Biology and Physiology, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Lung Cancer Research Studies (12 papers), DNA Repair Mechanisms (10 papers), Medication Adherence and Compliance (7 papers), Smoking Behavior and Cessation (7 papers), Healthcare Policy and Management (5 papers), Healthcare Systems and Reforms (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Family Practice (72 citations), Genetics (655 citations), Oncology (374 citations), Otorhinolaryngology (76 citations) and Immunology and Allergy (64 citations). Sin Kam has collaborated with scholars based in South Korea, United States and Norway. Frequent co-authors include Tae Hoon Jung, Jae Yong Park, Chang Ho Kim, Won Kee Lee, Jin Eun Choi, Sung Ick, Jin Sung Jang, Kyung Mee Kim, In‐San Kim and Keon-Yeop Kim. Their work appears in journals such as Lung Cancer, Cancer Epidemiology Biomarkers & Prevention, Journal of Korean Medical Science, Molecular Carcinogenesis and Korean Journal of Pediatrics.
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.