Jillian R. Brown
- Molecular Biology top 10%
- Cell Biology top 2%
- Organic Chemistry top 5%
- Immunology top 10%
- Immunology and Allergy top 5%
- Co-authors
- Jeffrey D. EskoLianchun WangAjit VarkiMark M. FusterBrett E. CrawfordThierry HennetDapeng ZhouXiaomei Bai
- Topics
- Glycosylation and Glycoproteins Research (15 papers)Proteoglycans and glycosaminoglycans research (15 papers)Carbohydrate Chemistry and Synthesis (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Jillian R. Brown
22 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.1k
- Cell Biology 679
- Organic Chemistry 396
- Immunology 266
- Immunology and Allergy 193
Countries citing papers authored by Jillian R. Brown
This map shows the geographic impact of Jillian R. Brown'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 Jillian R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jillian R. Brown more than expected).
Fields of papers citing papers by Jillian R. Brown
This network shows the impact of papers produced by Jillian R. Brown. 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 Jillian R. Brown. The network helps show where Jillian R. Brown may publish in the future.
Co-authorship network of co-authors of Jillian R. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Jillian R. Brown. A scholar is included among the top collaborators of Jillian R. Brown 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 Jillian R. Brown. Jillian R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 70 | |
| 4 | 35 | |
| 5 | 142 | |
| 6 | 71 | |
| 7 | 23 | |
| 8 | 63 | |
| 9 | 62 | |
| 10 | 23 | |
| 11 | 105 | |
| 12 | 38 | |
| 13 | 270 | |
| 14 | 248 | |
| 15 | 7 | |
| 16 | 103 | |
| 17 | 47 | |
| 18 | 60 | |
| 19 | 137 | |
| 20 | 33 |
About Jillian R. Brown
Jillian R. Brown is a scholar working on Aging, Cell Biology and Immunology and Allergy, having authored 23 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (15 papers), Proteoglycans and glycosaminoglycans research (15 papers) and Carbohydrate Chemistry and Synthesis (12 papers). The work is most often cited by research in Aging (82 citations), Cell Biology (679 citations) and Immunology and Allergy (193 citations). Jillian R. Brown has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jeffrey D. Esko, Lianchun Wang, Ajit Varki, Mark M. Fuster, Brett E. Crawford, Thierry Hennet, Dapeng Zhou, Xiaomei Bai, Charles A. Glass and Roger Lawrence. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.