Kwan Man
Impact in
- Hepatology top 0.2%
- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
Papers in
- Hepatology 55
- Liver Disease and Transplantation 25
- Hepatocellular Carcinoma Treatment and Prognosis 21
- Liver physiology and pathology 19
- Co-authors
- TP Ng (69 shared papers)Chung Mau Lo (58 shared papers)Terence K. Lee (36 shared papers)Sheung Tat Fan (30 shared papers)Ronnie T.P. Poon (16 shared papers)Chris K. Sun (18 shared papers)Jun Yu (13 shared papers)Qi Xiang (20 shared papers)
- Journals
- Transplantation (12 papers)Annals of Surgery (9 papers)Cancer Research (8 papers)Theranostics (8 papers)Oncotarget (8 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Kwan Man
172 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 134
- Hepatology 2.1k
- Cancer Research 1.6k
- Immunology 1.2k
- Oncology 1.5k
- Epidemiology 1.8k
Countries citing papers authored by Kwan Man
This map shows the geographic impact of Kwan Man'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 Kwan Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwan Man more than expected).
Fields of papers citing papers by Kwan Man
This network shows the impact of papers produced by Kwan Man. 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 Kwan Man. The network helps show where Kwan Man may publish in the future.
Co-authors
The 25 scholars most cited alongside Kwan Man, 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 332 | |
| 2 | 1997 | 264 | |
| 3 | 2003 | 186 | |
| 4 | 2014 | 176 | |
| 5 | 2016 | 162 | |
| 6 | 2018 | 160 | |
| 7 | 2014 | 160 | |
| 8 | 2014 | 156 | |
| 9 | 2019 | 156 | |
| 10 | 2015 | 135 | |
| 11 | 2014 | 129 | |
| 12 | 2015 | 116 | |
| 13 | 2016 | 115 | |
| 14 | 2010 | 115 | |
| 15 | 2020 | 113 | |
| 16 | 2007 | 111 | |
| 17 | 2012 | 108 | |
| 18 | 1999 | 105 | |
| 19 | 2018 | 99 | |
| 20 | 2006 | 97 |
About Kwan Man
Kwan Man is a scholar working on Molecular Biology, Hepatology, Surgery, Oncology and Epidemiology, having authored 176 papers that have together received 7.7k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (32 papers), Liver Disease Diagnosis and Treatment (26 papers), Liver Disease and Transplantation (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Liver physiology and pathology (19 papers), Cancer, Hypoxia, and Metabolism (19 papers), Cancer Mechanisms and Therapy (13 papers) and MicroRNA in disease regulation (13 papers). The work is most often cited by research in Hepatology (2.1k citations), Cancer Research (1.6k citations), Immunology (1.2k citations), Oncology (1.5k citations) and Epidemiology (1.8k citations). Kwan Man has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include TP Ng, Chung Mau Lo, Terence K. Lee, Sheung Tat Fan, Ronnie T.P. Poon, Chris K. Sun, Jun Yu, Qi Xiang, Chang Xian Li and Xin‐Yuan Guan. Their work appears in journals such as Transplantation, Annals of Surgery, Cancer Research, Theranostics and Oncotarget.
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.