Pak‐Kwan Hui
Impact in
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- Lymphoma Diagnosis and Treatment
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research
Papers in
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- Lymphoma Diagnosis and Treatment 16
- Oncology 13
- Viral-associated cancers and disorders 7
- Vascular Tumors and Angiosarcomas 5
- Co-authors
- C.S. Ng (13 shared papers)John Chan (4 shared papers)E. Gwi (5 shared papers)W.H. Lau (3 shared papers)John K. C. Chan (3 shared papers)I.T.M. Kung (3 shared papers)K. Lennert (4 shared papers)John K. C. Chan (4 shared papers)
In The Last Decade
Pak‐Kwan Hui
46 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 84
- Pathology and Forensic Medicine 726
- Dermatology 217
- Oncology 657
- Immunology 373
- Genetics 178
Countries citing papers authored by Pak‐Kwan Hui
This map shows the geographic impact of Pak‐Kwan Hui'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 Pak‐Kwan Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pak‐Kwan Hui more than expected).
Fields of papers citing papers by Pak‐Kwan Hui
This network shows the impact of papers produced by Pak‐Kwan Hui. 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 Pak‐Kwan Hui. The network helps show where Pak‐Kwan Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Pak‐Kwan Hui, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 155 | |
| 2 | 1991 | 152 | |
| 3 | 1989 | 132 | |
| 4 | 1994 | 110 | |
| 5 | 1989 | 109 | |
| 6 | 1995 | 96 | |
| 7 | 1988 | 86 | |
| 8 | 1988 | 65 | |
| 9 | 1988 | 65 | |
| 10 | 2013 | 61 | |
| 11 | 1989 | 58 | |
| 12 | 2002 | 49 | |
| 13 | 1989 | 45 | |
| 14 | Application of a T cell receptor antibody beta F1 for immunophenotypic analysis of malignant lymphomas. | 1988 | 45 |
| 15 | 2005 | 42 | |
| 16 | 1987 | 42 | |
| 17 | 1998 | 39 | |
| 18 | Columnar cell carcinoma of the thyroid. Fine needle aspiration findings in a case. | 1990 | 38 |
| 19 | 1991 | 37 | |
| 20 | 1988 | 36 |
About Pak‐Kwan Hui
Pak‐Kwan Hui is a scholar working on Pathology and Forensic Medicine, Oncology, Surgery, Dermatology and Immunology, having authored 46 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Viral-associated cancers and disorders (7 papers), Cutaneous lymphoproliferative disorders research (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Eosinophilic Disorders and Syndromes (5 papers), Vascular Tumors and Angiosarcomas (5 papers), T-cell and Retrovirus Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (726 citations), Dermatology (217 citations), Oncology (657 citations), Immunology (373 citations) and Genetics (178 citations). Pak‐Kwan Hui has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include C.S. Ng, John Chan, E. Gwi, W.H. Lau, John K. C. Chan, I.T.M. Kung, K. Lennert, John K. C. Chan, Sy Ha and Wing-Yee Chan. Their work appears in journals such as Histopathology, American Journal of Clinical Pathology, Pathology, Human Pathology and PROTEOMICS.
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.