L.K. Chan
Impact in
- Otorhinolaryngology top 1%
- Head and Neck Cancer Studies
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- Lung Cancer Research Studies
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
Papers in
- Surgery 5
- Head and Neck Surgical Oncology 3
- Organ Transplantation Techniques and Outcomes 1
-
- Head and Neck Cancer Studies 3
- Co-authors
- Wai Tong Ng (5 shared papers)Anne W.M. Lee (3 shared papers)Oscar S.H. Chan (2 shared papers)Connie Chan (1 shared paper)Willard E. Fee (1 shared paper)T.K. Yau (1 shared paper)Henry Sze (1 shared paper)Brian O’Sullivan (1 shared paper)
- Journals
- Oral Oncology (3 papers)European Journal of Cancer (2 papers)The Analyst (1 paper)Journal of the American Society of Nephrology (1 paper)Brachytherapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
L.K. Chan
9 papers receiving 357 citations
Peers
Comparison fields: 5 of 44
- Otorhinolaryngology 258
- Oncology 191
- Surgery 164
- Cancer Research 51
- Pulmonary and Respiratory Medicine 97
Countries citing papers authored by L.K. Chan
This map shows the geographic impact of L.K. Chan'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 L.K. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.K. Chan more than expected).
Fields of papers citing papers by L.K. Chan
This network shows the impact of papers produced by L.K. Chan. 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 L.K. Chan. The network helps show where L.K. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside L.K. Chan, 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 | 2010 | 159 | |
| 2 | 2012 | 97 | |
| 3 | 2017 | 45 | |
| 4 | 2012 | 39 | |
| 5 | 2018 | 8 | |
| 6 | 1990 | 5 | |
| 7 | 1991 | 3 | |
| 8 | A new microvascular model for noninvasive nuclear magnetic resonance spectroscopy of the transplanted kidney. | 1988 | 2 |
| 9 | 2015 | 1 |
About L.K. Chan
L.K. Chan is a scholar working on Surgery, Otorhinolaryngology, Oncology, Pulmonary and Respiratory Medicine and Clinical Biochemistry, having authored 9 papers that have together received 359 indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (3 papers), Head and Neck Cancer Studies (3 papers), Metabolism and Genetic Disorders (2 papers), Lung Cancer Treatments and Mutations (2 papers), Advanced MRI Techniques and Applications (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Advanced Chemical Sensor Technologies (1 paper) and Organ Transplantation Techniques and Outcomes (1 paper). The work is most often cited by research in Otorhinolaryngology (258 citations), Oncology (191 citations), Surgery (164 citations), Cancer Research (51 citations) and Pulmonary and Respiratory Medicine (97 citations). L.K. Chan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wai Tong Ng, Anne W.M. Lee, Oscar S.H. Chan, Connie Chan, Willard E. Fee, T.K. Yau, Henry Sze, Brian O’Sullivan, W.H. Lau and E.H. Tan. Their work appears in journals such as Oral Oncology, European Journal of Cancer, The Analyst, Journal of the American Society of Nephrology and Brachytherapy.
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.