Ephrem Chin
Impact in
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- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Neurogenetic and Muscular Disorders Research
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- Muscle Physiology and Disorders
- Glycosylation and Glycoproteins Research
- CRISPR and Genetic Engineering
Papers in
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- RNA modifications and cancer 3
- Congenital heart defects research 3
- Genomics and Phylogenetic Studies 2
- Glycosylation and Glycoproteins Research 2
- CRISPR and Genetic Engineering 2
- Genetics 10
- Genomic variations and chromosomal abnormalities 6
- Genomics and Rare Diseases 4
- Co-authors
- Madhuri Hegde (14 shared papers)Cristina da Silva (2 shared papers)Shruti Bhide (3 shared papers)Devin Rhodenizer (3 shared papers)Bradford Coffee (4 shared papers)Jennifer G. Mullé (1 shared paper)Stephen T. Warren (1 shared paper)Michael E. Zwick (1 shared paper)
- Journals
- Genetics in Medicine (3 papers)BMC Genetics (2 papers)Journal of Molecular Diagnostics (2 papers)Human Mutation (1 paper)JAMA Network Open (1 paper)
- Partner nations
- United StatesMalaysia
In The Last Decade
Ephrem Chin
16 papers receiving 419 citations
Peers
Comparison fields: 5 of 60
- Genetics 155
- Genetics 42
- Molecular Biology 256
- Cancer Research 55
- Clinical Biochemistry 20
Countries citing papers authored by Ephrem Chin
This map shows the geographic impact of Ephrem Chin'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 Ephrem Chin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ephrem Chin more than expected).
Fields of papers citing papers by Ephrem Chin
This network shows the impact of papers produced by Ephrem Chin. 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 Ephrem Chin. The network helps show where Ephrem Chin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ephrem Chin, 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 | 2008 | 75 | |
| 2 | 2013 | 72 | |
| 3 | 2011 | 68 | |
| 4 | 2012 | 52 | |
| 5 | 2012 | 38 | |
| 6 | 2009 | 32 | |
| 7 | 2009 | 20 | |
| 8 | 1991 | 18 | |
| 9 | 2013 | 14 | |
| 10 | 2023 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2010 | 7 | |
| 14 | 2012 | 4 | |
| 15 | 2011 | 3 | |
| 16 | 2016 | 1 |
About Ephrem Chin
Ephrem Chin is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Organic Chemistry, having authored 16 papers that have together received 431 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Genomics and Rare Diseases (4 papers), RNA modifications and cancer (3 papers), Congenital heart defects research (3 papers), Chromosomal and Genetic Variations (3 papers), Genomics and Phylogenetic Studies (2 papers), Glycosylation and Glycoproteins Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Genetics (155 citations), Genetics (42 citations), Molecular Biology (256 citations), Cancer Research (55 citations) and Clinical Biochemistry (20 citations). Ephrem Chin has collaborated with scholars based in United States and Malaysia. Frequent co-authors include Madhuri Hegde, Cristina da Silva, Shruti Bhide, Devin Rhodenizer, Bradford Coffee, Jennifer G. Mullé, Stephen T. Warren, Michael E. Zwick, David T. Okou and Lora Jh Bean. Their work appears in journals such as Genetics in Medicine, BMC Genetics, Journal of Molecular Diagnostics, Human Mutation and JAMA Network Open.
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.