Hiu Man Grisch‐Chan
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 7
- Aging top 10%
- Genetics top 10%
- Virus-based gene therapy research 7
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- CRISPR and Genetic Engineering 7
- RNA Interference and Gene Delivery 7
- Mitochondrial Function and Pathology 3
- Advanced biosensing and bioanalysis techniques 3
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- Diet and metabolism studies 2
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- Amino Acid Enzymes and Metabolism 1
- Co-authors
- Gerald SchwankBeat ThönyLukas VilligerJohannes HäberleGabriella AllegriRalph FingerhutFemke RingnaldaHelen Lindsay
- Journals
- Journal of Inherited Metabolic Disease (4 papers)Human Gene Therapy (2 papers)Molecular Therapy — Methods & Clinical Development (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Hiu Man Grisch‐Chan
16 papers receiving 680 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Business and International Management 33
- Clinical Biochemistry 89
- Aging 20
- Genetics 250
- Molecular Biology 612
Countries citing papers authored by Hiu Man Grisch‐Chan
This map shows the geographic impact of Hiu Man Grisch‐Chan'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 Hiu Man Grisch‐Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiu Man Grisch‐Chan more than expected).
Fields of papers citing papers by Hiu Man Grisch‐Chan
This network shows the impact of papers produced by Hiu Man Grisch‐Chan. 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 Hiu Man Grisch‐Chan. The network helps show where Hiu Man Grisch‐Chan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hiu Man Grisch‐Chan, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | In vivo prime editing of a metabolic liver disease in micebreakdown → | 2022 | 130 |
| 4 | 2022 | 14 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 29 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 117 | |
| 13 | 2018 | 10 | |
| 14 | 2018 | 301 | |
| 15 | 2017 | 19 | |
| 16 | 2016 | 14 |
About Hiu Man Grisch‐Chan
Hiu Man Grisch‐Chan is a scholar working on Clinical Biochemistry, Genetics, Molecular Biology, Biochemistry and Biotechnology, having authored 16 papers that have together received 686 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (7 papers), Metabolism and Genetic Disorders (7 papers), RNA Interference and Gene Delivery (7 papers), Mitochondrial Function and Pathology (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Diet and metabolism studies (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Business and International Management (33 citations), Clinical Biochemistry (89 citations), Aging (20 citations), Genetics (250 citations) and Molecular Biology (612 citations). Hiu Man Grisch‐Chan has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Gerald Schwank, Beat Thöny, Lukas Villiger, Johannes Häberle, Gabriella Allegri, Beat Thöny, Ralph Fingerhut, Femke Ringnalda, Helen Lindsay and Mark D. Robinson. Their work appears in journals such as Journal of Inherited Metabolic Disease, Human Gene Therapy, Molecular Therapy — Methods & Clinical Development, Science Translational Medicine and Nature Medicine.
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.