Edward J. Hsieh
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms 3
- Biochemistry top 5%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 6
- Coenzyme Q10 studies and effects 4
- Glycosylation and Glycoproteins Research 2
- Metabolomics and Mass Spectrometry Studies 2
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 5
- Clinical Biochemistry top 10%
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- Advanced battery technologies research 3
- Co-authors
- Michael J. MacCossPeter S. RabinovitchDao‐Fu DaiRichard P. BeyerCatherine F. ClarkeNathan BasistyDavid A. CrispinPabalu P. Karunadharma
- Cited by
- AgingBiochemistryMolecular Biology
- Journals
- Journal of Biological Chemistry (1 paper)PLoS ONE (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Edward J. Hsieh
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Aging 144
- Biochemistry 151
- Molecular Biology 851
- Spectroscopy 200
- Clinical Biochemistry 55
Countries citing papers authored by Edward J. Hsieh
This map shows the geographic impact of Edward J. Hsieh'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 Edward J. Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Hsieh more than expected).
Fields of papers citing papers by Edward J. Hsieh
This network shows the impact of papers produced by Edward J. Hsieh. 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 Edward J. Hsieh. The network helps show where Edward J. Hsieh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edward J. Hsieh, 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 | 3 | |
| 2 | 2023 | 17 | |
| 3 | 2022 | 10 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 30 | |
| 6 | 2015 | 6 | |
| 7 | 2015 | 62 | |
| 8 | 2014 | 255 | |
| 9 | 2014 | 31 | |
| 10 | 2013 | 5 | |
| 11 | 2013 | 121 | |
| 12 | 2012 | 14 | |
| 13 | 2012 | 48 | |
| 14 | 2012 | 56 | |
| 15 | 2011 | 95 | |
| 16 | 2011 | 147 | |
| 17 | 2009 | 102 | |
| 18 | 2007 | 76 | |
| 19 | 2005 | 81 | |
| 20 | 2004 | 34 |
About Edward J. Hsieh
Edward J. Hsieh is a scholar working on Aging, Spectroscopy and Biochemistry, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Coenzyme Q10 studies and effects (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Advanced battery technologies research (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Aging (144 citations), Biochemistry (151 citations) and Molecular Biology (851 citations). Edward J. Hsieh has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Michael J. MacCoss, Peter S. Rabinovitch, Dao‐Fu Dai, Richard P. Beyer, Catherine F. Clarke, Nathan Basisty, David A. Crispin, Pabalu P. Karunadharma, Tony Chen and Michael R. Hoopmann. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.
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.