Ka Hing Che
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 10%
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Cancer-related gene regulation
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 4
- Histone Deacetylase Inhibitors Research 4
- Protein Degradation and Inhibitors 3
- Peroxisome Proliferator-Activated Receptors 2
- Cancer-related gene regulation 2
- Oncology 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Udo Oppermann (3 shared papers)Anthony Tumber (3 shared papers)Nina Pan (1 shared paper)Xiaohua Li (1 shared paper)Liqiang He (1 shared paper)Mingjie Zhang (1 shared paper)Zhenyu Yue (1 shared paper)Lifeng Pan (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Angewandte Chemie International Edition (2 papers)Journal of the American Chemical Society (1 paper)Current Opinion in Chemical Biology (1 paper)Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Ka Hing Che
10 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Hematology 194
- Molecular Biology 1.0k
- Cancer Research 89
- Oncology 132
- Cell Biology 70
Countries citing papers authored by Ka Hing Che
This map shows the geographic impact of Ka Hing Che'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 Ka Hing Che with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ka Hing Che more than expected).
Fields of papers citing papers by Ka Hing Che
This network shows the impact of papers produced by Ka Hing Che. 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 Ka Hing Che. The network helps show where Ka Hing Che may publish in the future.
Co-authors
The 25 scholars most cited alongside Ka Hing Che, 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 | 2015 | 204 | |
| 2 | 2015 | 201 | |
| 3 | 2013 | 149 | |
| 4 | 2012 | 145 | |
| 5 | 2011 | 135 | |
| 6 | 2012 | 129 | |
| 7 | 2016 | 78 | |
| 8 | 2020 | 76 | |
| 9 | 2012 | 70 | |
| 10 | 2016 | 26 |
About Ka Hing Che
Ka Hing Che is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Hematology and Cancer Research, having authored 10 papers that have together received 1.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Histone Deacetylase Inhibitors Research (4 papers), Protein Degradation and Inhibitors (3 papers), Peptidase Inhibition and Analysis (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Cancer-related gene regulation (2 papers), Multiple Myeloma Research and Treatments (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Hematology (194 citations), Molecular Biology (1.0k citations), Cancer Research (89 citations), Oncology (132 citations) and Cell Biology (70 citations). Ka Hing Che has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Udo Oppermann, Anthony Tumber, Nina Pan, Xiaohua Li, Liqiang He, Mingjie Zhang, Zhenyu Yue, Lifeng Pan, Sarah F. Funderburk and Stanley S. Ng. Their work appears in journals such as Journal of Medicinal Chemistry, Angewandte Chemie International Edition, Journal of the American Chemical Society, Current Opinion in Chemical Biology and Cancer Research.
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.