Heung‐Chin Cheng
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 32
- Chemical Synthesis and Analysis 13
- Protein Tyrosine Phosphatases 11
- Melanoma and MAPK Pathways 7
- PI3K/AKT/mTOR signaling in cancer 6
- Cell Biology top 5%
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 6
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments 6
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- Monoclonal and Polyclonal Antibodies Research 8
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- Enzyme Structure and Function 6
- Co-authors
- Donal A. WalshBruce E. KempScott M. Van PattenAlan Jay SmithTerrence D. MulhernRichard B. PearsonDavid B. GlassYuh‐Ping Chong
- Journals
- Nucleic Acids Research (1 paper)Journal of Biological Chemistry (19 papers)Bioinformatics (1 paper)
- Partner nations
- AustraliaCanadaUnited States
In The Last Decade
Heung‐Chin Cheng
71 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 2.3k
- Cellular and Molecular Neuroscience 464
- Cell Biology 344
- Neurology 252
- Neurology 125
Countries citing papers authored by Heung‐Chin Cheng
This map shows the geographic impact of Heung‐Chin Cheng'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 Heung‐Chin Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heung‐Chin Cheng more than expected).
Fields of papers citing papers by Heung‐Chin Cheng
This network shows the impact of papers produced by Heung‐Chin Cheng. 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 Heung‐Chin Cheng. The network helps show where Heung‐Chin Cheng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Heung‐Chin Cheng, 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 | 2023 | 3 | |
| 2 | 2020 | 46 | |
| 3 | 2019 | 4 | |
| 4 | 2017 | 12 | |
| 5 | 2014 | 14 | |
| 6 | 2012 | 27 | |
| 7 | 2010 | 7 | |
| 8 | 2010 | 26 | |
| 9 | 2008 | 76 | |
| 10 | 2007 | 25 | |
| 11 | 2007 | 19 | |
| 12 | 2006 | 11 | |
| 13 | 1998 | 13 | |
| 14 | 1996 | 3 | |
| 15 | 1995 | 51 | |
| 16 | 1993 | 13 | |
| 17 | 1992 | 7 | |
| 18 | 1991 | 1 | |
| 19 | 1990 | 10 | |
| 20 | 1990 | 1 |
About Heung‐Chin Cheng
Heung‐Chin Cheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 71 papers that have together received 3.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (32 papers), Chemical Synthesis and Analysis (13 papers), Protein Tyrosine Phosphatases (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Melanoma and MAPK Pathways (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), PI3K/AKT/mTOR signaling in cancer (6 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cellular and Molecular Neuroscience (464 citations) and Cell Biology (344 citations). Heung‐Chin Cheng has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Donal A. Walsh, Bruce E. Kemp, Scott M. Van Patten, Alan Jay Smith, Terrence D. Mulhern, Richard B. Pearson, David B. Glass, Yuh‐Ping Chong, J.H. Wang and Janetta G. Culvenor. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.
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.