Owen M. Rennert
- Biological Psychiatry top 5%
- Cancer Research top 5%
- Behavioral Neuroscience top 5%
- Molecular Biology top 2%
- Polyamine Metabolism and Applications 18
- Epigenetics and DNA Methylation 13
- Developmental Neuroscience top 5%
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- Trace Elements in Health 19
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- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 17
- Genetics and Neurodevelopmental Disorders 16
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- Amino Acid Enzymes and Metabolism 15
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- Metabolism and Genetic Disorders 12
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- Lysosomal Storage Disorders Research 12
- Co-authors
- Wai‐Yee ChanMark N. ZiatsTL LeeHoi‐Hung CheungYan SuThomas W. SealeAlan Lap‐Yin PangQing‐Rong Liu
- Partner nations
- United StatesHong KongJapan
In The Last Decade
Owen M. Rennert
222 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 152
- Biological Psychiatry 128
- Cancer Research 633
- Behavioral Neuroscience 146
- Molecular Biology 2.7k
- Developmental Neuroscience 151
Countries citing papers authored by Owen M. Rennert
This map shows the geographic impact of Owen M. Rennert'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 Owen M. Rennert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Owen M. Rennert more than expected).
Fields of papers citing papers by Owen M. Rennert
This network shows the impact of papers produced by Owen M. Rennert. 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 Owen M. Rennert. The network helps show where Owen M. Rennert may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Owen M. Rennert, 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 | 2025 | 1 | |
| 2 | 2020 | 13 | |
| 3 | 2016 | 49 | |
| 4 | 2015 | 20 | |
| 5 | 2015 | 35 | |
| 6 | 2014 | 80 | |
| 7 | 2012 | 158 | |
| 8 | 2012 | 35 | |
| 9 | 2011 | 25 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 58 | |
| 12 | 2009 | 108 | |
| 13 | 2006 | 21 | |
| 14 | 2006 | 23 | |
| 15 | Understanding and optimizing human development : from cells to patients to populations | 2004 | 3 |
| 16 | 2004 | 15 | |
| 17 | 2004 | 16 | |
| 18 | 1999 | 21 | |
| 19 | 1999 | 3 | |
| 20 | 1978 | 13 |
About Owen M. Rennert
Owen M. Rennert is a scholar working on Biochemistry, Genetics and Nutrition and Dietetics, having authored 223 papers that have together received 5.2k indexed citations. Recurring topics across this work include Trace Elements in Health (19 papers), Polyamine Metabolism and Applications (18 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (17 papers), Genetics and Neurodevelopmental Disorders (16 papers), Amino Acid Enzymes and Metabolism (15 papers), Epigenetics and DNA Methylation (13 papers), Metabolism and Genetic Disorders (12 papers) and Lysosomal Storage Disorders Research (12 papers). The work is most often cited by research in Biological Psychiatry (128 citations), Cancer Research (633 citations) and Behavioral Neuroscience (146 citations). Owen M. Rennert has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Wai‐Yee Chan, Mark N. Ziats, TL Lee, Hoi‐Hung Cheung, Yan Su, Thomas W. Seale, Alan Lap‐Yin Pang, Qing‐Rong Liu, Marc R. Blackman and Salvatore Alesci. Their work appears in journals such as Nature, Science and New England Journal of 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.