Fu–Keung Li
Impact in
- Nephrology top 2%
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
Papers in
- Nephrology 10
- Dialysis and Renal Disease Management 7
- Renal Diseases and Glomerulopathies 3
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- HIV/AIDS drug development and treatment 2
- Co-authors
- Tak Mao Chan (16 shared papers)Kai‐Chung Tse (10 shared papers)Mo-Yin Mok (1 shared paper)Colin Tang (1 shared paper)Kar‐Neng Lai (10 shared papers)Sing‐Leung Lui (8 shared papers)Wai-Kei Lo (8 shared papers)Ignatius K.P. Cheng (3 shared papers)
- Journals
- Peritoneal Dialysis International (7 papers)The Nephron journals/Nephron journals (2 papers)Clinical Transplantation (1 paper)Journal of Clinical Microbiology (1 paper)Clinical and Vaccine Immunology (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Fu–Keung Li
18 papers receiving 691 citations
Peers
Comparison fields: 5 of 57
- Nephrology 297
- Rheumatology 311
- Hepatology 136
- Transplantation 41
- Emergency Medical Services 60
Countries citing papers authored by Fu–Keung Li
This map shows the geographic impact of Fu–Keung Li'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 Fu–Keung Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu–Keung Li more than expected).
Fields of papers citing papers by Fu–Keung Li
This network shows the impact of papers produced by Fu–Keung Li. 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 Fu–Keung Li. The network helps show where Fu–Keung Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fu–Keung Li, 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 | 2005 | 340 | |
| 2 | 1998 | 65 | |
| 3 | 2003 | 41 | |
| 4 | 2002 | 36 | |
| 5 | 2005 | 35 | |
| 6 | 2006 | 33 | |
| 7 | 1998 | 27 | |
| 8 | 2004 | 27 | |
| 9 | 1999 | 22 | |
| 10 | 2008 | 21 | |
| 11 | 2002 | 19 | |
| 12 | 1999 | 14 | |
| 13 | 2001 | 13 | |
| 14 | 2009 | 7 | |
| 15 | 2000 | 6 | |
| 16 | 2004 | 5 | |
| 17 | 1999 | 5 | |
| 18 | 2004 | 1 | |
| 19 | 2006 | 0 |
About Fu–Keung Li
Fu–Keung Li is a scholar working on Nephrology, Infectious Diseases, Surgery, Epidemiology and Transplantation, having authored 19 papers that have together received 717 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (7 papers), Renal Transplantation Outcomes and Treatments (3 papers), Renal Diseases and Glomerulopathies (3 papers), Central Venous Catheters and Hemodialysis (3 papers), HIV/AIDS drug development and treatment (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Nephrology (297 citations), Rheumatology (311 citations), Hepatology (136 citations), Transplantation (41 citations) and Emergency Medical Services (60 citations). Fu–Keung Li has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tak Mao Chan, Kai‐Chung Tse, Mo-Yin Mok, Colin Tang, Kar‐Neng Lai, Sing‐Leung Lui, Wai-Kei Lo, Ignatius K.P. Cheng, Ching‐Lung Lai and Pui–Chee Wu. Their work appears in journals such as Peritoneal Dialysis International, The Nephron journals/Nephron journals, Clinical Transplantation, Journal of Clinical Microbiology and Clinical and Vaccine Immunology.
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.