Lee‐Jun C. Wong
Impact in
- Clinical Biochemistry top 0.05%
- Metabolism and Genetic Disorders
- Molecular Biology top 1%
- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA modifications and cancer
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Metabolism and Genetic Disorders 87
-
- Mitochondrial Function and Pathology 101
- ATP Synthase and ATPases Research 44
- RNA modifications and cancer 19
- Biochemical and Molecular Research 10
- Co-authors
- Renkui BaiFernando ScagliaDuan‐Jun TanVictor Wei ZhangShan S. WongWilliam J. CraigenRichard G. BolesEric Schmitt
- Journals
- Molecular Genetics and Metabolism (21 papers)Mitochondrion (14 papers)Genetics in Medicine (10 papers)Clinical Chemistry (9 papers)Human Mutation (9 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Lee‐Jun C. Wong
178 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 139
- Clinical Biochemistry 2.3k
- Molecular Biology 4.5k
- Biochemistry 302
- Cancer Research 587
- Genetics 786
Countries citing papers authored by Lee‐Jun C. Wong
This map shows the geographic impact of Lee‐Jun C. Wong'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 Lee‐Jun C. Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee‐Jun C. Wong more than expected).
Fields of papers citing papers by Lee‐Jun C. Wong
This network shows the impact of papers produced by Lee‐Jun C. Wong. 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 Lee‐Jun C. Wong. The network helps show where Lee‐Jun C. Wong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee‐Jun C. Wong, 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 | 16 | |
| 2 | 2016 | 66 | |
| 3 | 2012 | 4 | |
| 4 | Mitochondrial disorders : biochemical and molecular analysis | 2012 | 8 |
| 5 | 2012 | 53 | |
| 6 | 2012 | 30 | |
| 7 | 2012 | 28 | |
| 8 | 2011 | 33 | |
| 9 | 2010 | 101 | |
| 10 | 2010 | 15 | |
| 11 | 2010 | 53 | |
| 12 | 2009 | 40 | |
| 13 | 2008 | 35 | |
| 14 | 2007 | 200 | |
| 15 | 2007 | 56 | |
| 16 | 2007 | 85 | |
| 17 | 2006 | 8 | |
| 18 | 2006 | 12 | |
| 19 | Mutation Analysis By The Use of Temporal Temperature Gradient Gel Electrophoresis | 2005 | 1 |
| 20 | 2002 | 17 |
About Lee‐Jun C. Wong
Lee‐Jun C. Wong is a scholar working on Clinical Biochemistry, Molecular Biology, Genetics, Biochemistry and Sensory Systems, having authored 180 papers that have together received 5.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (101 papers), Metabolism and Genetic Disorders (87 papers), ATP Synthase and ATPases Research (44 papers), Genomics and Rare Diseases (20 papers), RNA modifications and cancer (19 papers), Cystic Fibrosis Research Advances (11 papers), Biochemical and Molecular Research (10 papers) and Genomic variations and chromosomal abnormalities (10 papers). The work is most often cited by research in Clinical Biochemistry (2.3k citations), Molecular Biology (4.5k citations), Biochemistry (302 citations), Cancer Research (587 citations) and Genetics (786 citations). Lee‐Jun C. Wong has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Renkui Bai, Fernando Scaglia, Duan‐Jun Tan, Victor Wei Zhang, Shan S. Wong, William J. Craigen, Richard G. Boles, Eric Schmitt, Hong Cui and Yewei Ma. Their work appears in journals such as Molecular Genetics and Metabolism, Mitochondrion, Genetics in Medicine, Clinical Chemistry and Human Mutation.
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.