Rachel Hung
Impact in
- Nephrology top 10%
- Dialysis and Renal Disease Management
- Transplantation top 10%
Papers in
-
- Renal Diseases and Glomerulopathies 3
- Dialysis and Renal Disease Management 3
- Chronic Kidney Disease and Diabetes 2
-
- HIV/AIDS drug development and treatment 3
- Co-authors
- Min Xu (1 shared paper)William G. Austen (1 shared paper)Minghe Ma (1 shared paper)Michael C. Carroll (1 shared paper)Isaac M. Chiu (1 shared paper)Ming Zhang (1 shared paper)N. Verna (1 shared paper)Francis D. Moore (1 shared paper)
- Journals
- AIDS (3 papers)Nutrition in Clinical Practice (2 papers)Health Expectations (1 paper)Clinical and Experimental Dermatology (1 paper)European Journal of Anaesthesiology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Rachel Hung
19 papers receiving 319 citations
Peers
Comparison fields: 5 of 71
- Nephrology 68
- Transplantation 23
- Immunology 140
- Neurology 26
- Emergency Medicine 23
Countries citing papers authored by Rachel Hung
This map shows the geographic impact of Rachel Hung'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 Rachel Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Hung more than expected).
Fields of papers citing papers by Rachel Hung
This network shows the impact of papers produced by Rachel Hung. 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 Rachel Hung. The network helps show where Rachel Hung may publish in the future.
Co-authors
The 25 scholars most cited alongside Rachel Hung, 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 | 2004 | 188 | |
| 2 | 2014 | 26 | |
| 3 | 2017 | 19 | |
| 4 | 2021 | 15 | |
| 5 | 2018 | 11 | |
| 6 | 2010 | 10 | |
| 7 | 2015 | 10 | |
| 8 | 2017 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2013 | 3 | |
| 14 | 2013 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 2 | |
| 17 | GPIb VNTR C/C genotype may predict embolic events in infective endocarditis. | 2013 | 2 |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Rachel Hung
Rachel Hung is a scholar working on Nephrology, Infectious Diseases, Molecular Biology, Epidemiology and Physiology, having authored 20 papers that have together received 322 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (3 papers), HIV/AIDS drug development and treatment (3 papers), Nutrition and Health in Aging (3 papers), Dialysis and Renal Disease Management (3 papers), Infective Endocarditis Diagnosis and Management (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Nephrology (68 citations), Transplantation (23 citations), Immunology (140 citations), Neurology (26 citations) and Emergency Medicine (23 citations). Rachel Hung has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Min Xu, William G. Austen, Minghe Ma, Michael C. Carroll, Isaac M. Chiu, Ming Zhang, N. Verna, Francis D. Moore, Herbert B. Hechtman and Elisabeth M. Alicot. Their work appears in journals such as AIDS, Nutrition in Clinical Practice, Health Expectations, Clinical and Experimental Dermatology and European Journal of Anaesthesiology.
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.