Kit-Wan Ma
Impact in
-
- Toxin Mechanisms and Immunotoxins
-
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- Pluripotent Stem Cells Research
- Developmental Biology and Gene Regulation
Papers in
-
- Hepatocellular Carcinoma Treatment and Prognosis 2
- Liver Disease and Transplantation 1
-
- Toxin Mechanisms and Immunotoxins 3
- Co-authors
- Pang‐Chui Shaw (5 shared papers)Kam‐Bo Wong (5 shared papers)Guang Zhu (2 shared papers)Adam G. West (2 shared papers)Shannon Wing‐Ngor Au (2 shared papers)Alan Hair (1 shared paper)Kong‐Hung Sze (1 shared paper)Amanda Nga-Sze Mak (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)HPB (1 paper)Journal of Hepatology (1 paper)PLoS Genetics (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- Hong KongUnited KingdomArgentina
In The Last Decade
Kit-Wan Ma
12 papers receiving 354 citations
Peers
Comparison fields: 5 of 35
- Immunology 126
- Molecular Biology 202
- Endocrinology 8
- Reproductive Medicine 12
- Hepatology 4
Countries citing papers authored by Kit-Wan Ma
This map shows the geographic impact of Kit-Wan Ma'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 Kit-Wan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit-Wan Ma more than expected).
Fields of papers citing papers by Kit-Wan Ma
This network shows the impact of papers produced by Kit-Wan Ma. 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 Kit-Wan Ma. The network helps show where Kit-Wan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kit-Wan Ma, 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 | 2017 | 112 | |
| 2 | 2007 | 69 | |
| 3 | 2008 | 62 | |
| 4 | 2011 | 39 | |
| 5 | 2012 | 29 | |
| 6 | 2008 | 19 | |
| 7 | 2009 | 15 | |
| 8 | 2007 | 7 | |
| 9 | 2006 | 3 | |
| 10 | 2018 | 2 | |
| 11 | 2016 | 1 | |
| 12 | 2018 | 1 |
About Kit-Wan Ma
Kit-Wan Ma is a scholar working on Hepatology, Immunology, Molecular Biology, Epidemiology and Nuclear Energy and Engineering, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (3 papers), Genomics and Chromatin Dynamics (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pluripotent Stem Cells Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Epigenetics and DNA Methylation (1 paper), Trypanosoma species research and implications (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Immunology (126 citations), Molecular Biology (202 citations), Endocrinology (8 citations), Reproductive Medicine (12 citations) and Hepatology (4 citations). Kit-Wan Ma has collaborated with scholars based in Hong Kong, United Kingdom and Argentina. Frequent co-authors include Pang‐Chui Shaw, Kam‐Bo Wong, Guang Zhu, Adam G. West, Shannon Wing‐Ngor Au, Alan Hair, Kong‐Hung Sze, Amanda Nga-Sze Mak, Osamu Ohara and Takaho A. Endo. Their work appears in journals such as Nucleic Acids Research, HPB, Journal of Hepatology, PLoS Genetics and Analytical Biochemistry.
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.