James De La Rosa
- Cell Biology top 10%
- Rheumatology top 10%
- Molecular Biology
- Biochemistry top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Martha H. StipanukLawrence L. HirschbergerMalak KotbHélène LegrosNicholas M. KredichArthur M. GellerMonika M. HryniewiczJacek Ostrowski
- Topics
- Folate and B Vitamins Research (8 papers)Aldose Reductase and Taurine (5 papers)Prenatal Substance Exposure Effects (5 papers)
- Cited by
- BiochemistryRheumatologyCell Biology
- Journals
- Journal of Biological ChemistryBiochemical JournalMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- United States
In The Last Decade
James De La Rosa
14 papers receiving 418 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 161
- Rheumatology 160
- Molecular Biology 154
- Biochemistry 138
- Pediatrics, Perinatology and Child Health 110
Countries citing papers authored by James De La Rosa
This map shows the geographic impact of James De La Rosa'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 James De La Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James De La Rosa more than expected).
Fields of papers citing papers by James De La Rosa
This network shows the impact of papers produced by James De La Rosa. 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 James De La Rosa. The network helps show where James De La Rosa may publish in the future.
Co-authorship network of co-authors of James De La Rosa
This figure shows the co-authorship network connecting the top 25 collaborators of James De La Rosa. A scholar is included among the top collaborators of James De La Rosa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James De La Rosa. James De La Rosa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 9 | |
| 3 | Induction of interleukin 2 production but not methionine adenosyltransferase activity or S-adenosylmethionine turnover in Jurkat T-cells. | 19 |
| 4 | 23 | |
| 5 | 12 | |
| 6 | 43 | |
| 7 | 17 | |
| 8 | 26 | |
| 9 | 48 | |
| 10 | 24 | |
| 11 | 9 | |
| 12 | 62 | |
| 13 | 92 | |
| 14 | Hb A1c: a review on its structure, biosynthesis, clinical significance and methods of assay. | 7 |
About James De La Rosa
James De La Rosa is a scholar working on Biochemistry, Rheumatology and Cell Biology, having authored 14 papers that have together received 433 indexed citations. Recurring topics across this work include Folate and B Vitamins Research (8 papers), Aldose Reductase and Taurine (5 papers) and Prenatal Substance Exposure Effects (5 papers). The work is most often cited by research in Biochemistry (138 citations), Rheumatology (160 citations) and Cell Biology (161 citations). James De La Rosa has collaborated with scholars based in United States. Frequent co-authors include Martha H. Stipanuk, Lawrence L. Hirschberger, Malak Kotb, Hélène Legros, Nicholas M. Kredich, Arthur M. Geller, Malak Kotb, Monika M. Hryniewicz, Jacek Ostrowski and Marc Valentine. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Methods in enzymology on CD-ROM/Methods in enzymology.
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.