Kwan Man
Impact in
- Hepatology top 0.5%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
- Cancer Research top 0.5%
- MicroRNA in disease regulation
Papers in
- Hepatology 32
- Hepatocellular Carcinoma Treatment and Prognosis 27
- Liver physiology and pathology 5
-
- MicroRNA in disease regulation 13
- Co-authors
- Chung Mau Lo (65 shared papers)Terence K. Lee (45 shared papers)Ronnie T. P. Poon (31 shared papers)Irene Oi‐Lin Ng (27 shared papers)Sheung Tat Fan (34 shared papers)Kevin TP Ng (28 shared papers)Xin-Yuan Guan (17 shared papers)TP Ng (44 shared papers)
- Journals
- Transplantation (13 papers)Hepatology (11 papers)Journal of Hepatology (9 papers)Annals of Surgery (9 papers)Oncotarget (9 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Kwan Man
214 papers receiving 12.5k citations
Kwan Man's Hit Papers
Peers
Comparison fields: 5 of 98
- Hepatology 1.7k
- Cancer Research 1.4k
- Transplantation 204
- Oncology 943
- Molecular Biology 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 219 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 703 | |
| 2 | 2013 | 438 | |
| 3 | 2006 | 364 | |
| 4 | 2014 | 355 | |
| 5 | 2010 | 347 | |
| 6 | 1997 | 286 | |
| 7 | 2010 | 259 | |
| 8 | Recommended Treatment for Antibody-mediated Rejection After Kidney Transplantation: The 2019 Expert Consensus From the Transplantion Society Working Group Hit paper breakdown → | 2019 | 256 |
| 9 | 2011 | 223 | |
| 10 | 2003 | 209 | |
| 11 | 2013 | 195 | |
| 12 | 2014 | 188 | |
| 13 | 2019 | 172 | |
| 14 | 2016 | 170 | |
| 15 | 2018 | 169 | |
| 16 | 2014 | 168 | |
| 17 | 2014 | 164 | |
| 18 | 2019 | 164 | |
| 19 | 2015 | 141 | |
| 20 | 2014 | 133 |
About Kwan Man
Kwan Man is a scholar working on Hepatology, Cancer Research, Surgery, Immunology and Oncology, having authored 219 papers that have together received 12.7k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (37 papers), Hepatocellular Carcinoma Treatment and Prognosis (27 papers), MicroRNA in disease regulation (13 papers), Immune cells in cancer (7 papers), Cancer Cells and Metastasis (6 papers), Hepatitis B Virus Studies (5 papers), Liver physiology and pathology (5 papers) and Prostate Cancer Treatment and Research (4 papers). The work is most often cited by research in Hepatology (1.7k citations), Cancer Research (1.4k citations), Transplantation (204 citations), Oncology (943 citations) and Molecular Biology (1.8k citations). Kwan Man has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Chung Mau Lo, Terence K. Lee, Ronnie T. P. Poon, Irene Oi‐Lin Ng, Sheung Tat Fan, Kevin TP Ng, Xin-Yuan Guan, TP Ng, Chris Kin-Wai Sun and Jun Qing Yu. Their work appears in journals such as Transplantation, Hepatology, Journal of Hepatology, Annals of Surgery 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.