Sheldon M. Schuster
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism 34
- Molecular Biology top 5%
- Biochemical and Molecular Research 20
- ATP Synthase and ATPases Research 14
- Mitochondrial Function and Pathology 10
- Advanced biosensing and bioanalysis techniques 8
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 10
- Cell Biology top 10%
- Microbiology top 10%
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- Enzyme Structure and Function 14
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- Folate and B Vitamins Research 7
- Co-authors
- Weihong TanNigel G. J. RichardsXiaohong FangSusan K. BoehleinMerle S. OlsonJianwei Jeffery LiXiaojing LiuHarry S. Nick
- Journals
- Biochemistry (17 papers)Archives of Biochemistry and Biophysics (13 papers)Journal of Biological Chemistry (7 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Sheldon M. Schuster
103 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Biochemistry 288
- Molecular Biology 1.8k
- Clinical Biochemistry 141
- Cell Biology 189
- Microbiology 46
Countries citing papers authored by Sheldon M. Schuster
This map shows the geographic impact of Sheldon M. Schuster'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 Sheldon M. Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheldon M. Schuster more than expected).
Fields of papers citing papers by Sheldon M. Schuster
This network shows the impact of papers produced by Sheldon M. Schuster. 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 Sheldon M. Schuster. The network helps show where Sheldon M. Schuster may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sheldon M. Schuster, 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 | 2011 | 5 | |
| 2 | 2008 | 4 | |
| 3 | 2008 | 1 | |
| 4 | 2007 | 1 | |
| 5 | 2007 | 1 | |
| 6 | 2006 | 2 | |
| 7 | 2006 | 2 | |
| 8 | 2002 | 5 | |
| 9 | 2000 | 95 | |
| 10 | 1999 | 64 | |
| 11 | 1996 | 33 | |
| 12 | 1994 | 76 | |
| 13 | 1993 | 17 | |
| 14 | 1991 | 51 | |
| 15 | 1990 | 103 | |
| 16 | 1985 | 20 | |
| 17 | An information theoretic model for allosteric enzymes: theory | 1984 | 1 |
| 18 | 1982 | 16 | |
| 19 | 1980 | 4 | |
| 20 | 1979 | 2 |
About Sheldon M. Schuster
Sheldon M. Schuster is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 104 papers that have together received 2.6k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (34 papers), Biochemical and Molecular Research (20 papers), Enzyme Structure and Function (14 papers), ATP Synthase and ATPases Research (14 papers), Mitochondrial Function and Pathology (10 papers), Metabolism and Genetic Disorders (10 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Folate and B Vitamins Research (7 papers). The work is most often cited by research in Biochemistry (288 citations), Molecular Biology (1.8k citations) and Clinical Biochemistry (141 citations). Sheldon M. Schuster has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Weihong Tan, Nigel G. J. Richards, Xiaohong Fang, Susan K. Boehlein, Merle S. Olson, Jianwei Jeffery Li, Xiaojing Liu, Harry S. Nick, Ione Parra Barbosa‐Tessmann and Dwane E. Wylie. Their work appears in journals such as Biochemistry, Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Analytical Biochemistry and Journal of Inorganic Biochemistry.
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.