Joseph Barycki
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
- Sulfur Compounds in Biology
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
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- Metabolism and Genetic Disorders 7
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- Amino Acid Enzymes and Metabolism 5
- Sulfur Compounds in Biology 4
- Co-authors
- Melanie A. SimpsonEkaterina BiterovaLeonard BanaszakGina BoancaYilin LiuRoberta F. ColmanArnold W. StraussVadim N. Gladyshev
- Journals
- Journal of Biological Chemistry (16 papers)Biochemistry (7 papers)Advances in cancer research (2 papers)Protein Science (2 papers)Matrix Biology (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Joseph Barycki
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Biochemistry 196
- Clinical Biochemistry 96
- Molecular Biology 957
- Cell Biology 204
- Developmental Neuroscience 34
Countries citing papers authored by Joseph Barycki
This map shows the geographic impact of Joseph Barycki'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 Joseph Barycki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph Barycki more than expected).
Fields of papers citing papers by Joseph Barycki
This network shows the impact of papers produced by Joseph Barycki. 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 Joseph Barycki. The network helps show where Joseph Barycki may publish in the future.
Co-authors
The 25 scholars most cited alongside Joseph Barycki, 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 | 0 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 19 | |
| 4 | 2014 | 171 | |
| 5 | 2012 | 18 | |
| 6 | 2010 | 23 | |
| 7 | 2009 | 23 | |
| 8 | 2009 | 49 | |
| 9 | 2006 | 64 | |
| 10 | 2005 | 91 | |
| 11 | 2005 | 96 | |
| 12 | 2004 | 48 | |
| 13 | 2004 | 78 | |
| 14 | Probing subunit interactions in glutathione S-transferases using affinity labeling | 2001 | 2 |
| 15 | 2001 | 29 | |
| 16 | 2000 | 55 | |
| 17 | 1999 | 16 | |
| 18 | 1997 | 27 | |
| 19 | 1996 | 13 | |
| 20 | 1993 | 36 |
About Joseph Barycki
Joseph Barycki is a scholar working on Clinical Biochemistry, Biochemistry, Cell Biology, Molecular Biology and Rheumatology, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Proteoglycans and glycosaminoglycans research (9 papers), Metabolism and Genetic Disorders (7 papers), Enzyme Structure and Function (7 papers), Amino Acid Enzymes and Metabolism (5 papers), Glutathione Transferases and Polymorphisms (5 papers), Biochemical and Molecular Research (5 papers) and Sulfur Compounds in Biology (4 papers). The work is most often cited by research in Biochemistry (196 citations), Clinical Biochemistry (96 citations), Molecular Biology (957 citations), Cell Biology (204 citations) and Developmental Neuroscience (34 citations). Joseph Barycki has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Melanie A. Simpson, Ekaterina Biterova, Leonard Banaszak, Gina Boanca, Yilin Liu, Roberta F. Colman, Arnold W. Strauss, Vadim N. Gladyshev, Anton A. Turanov and Patricia L. Herman. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Advances in cancer research, Protein Science and Matrix 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.