Jacquelyn Joseph‐Silverstein
- Molecular Biology top 10%
- Cell Biology top 5%
- Cancer Research top 5%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Co-authors
- David MoscatelliDaniel B. RifkinMarco PrestaD B RifkinMary E. HattenM. LynchR E RydelJanet Sánchez
- Topics
- Fibroblast Growth Factor Research (11 papers)Cancer, Hypoxia, and Metabolism (3 papers)Erythrocyte Function and Pathophysiology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- United StatesItaly
In The Last Decade
Jacquelyn Joseph‐Silverstein
20 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.2k
- Cell Biology 444
- Cancer Research 357
- Cellular and Molecular Neuroscience 256
- Surgery 194
Countries citing papers authored by Jacquelyn Joseph‐Silverstein
This map shows the geographic impact of Jacquelyn Joseph‐Silverstein'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 Jacquelyn Joseph‐Silverstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn Joseph‐Silverstein more than expected).
Fields of papers citing papers by Jacquelyn Joseph‐Silverstein
This network shows the impact of papers produced by Jacquelyn Joseph‐Silverstein. 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 Jacquelyn Joseph‐Silverstein. The network helps show where Jacquelyn Joseph‐Silverstein may publish in the future.
Co-authorship network of co-authors of Jacquelyn Joseph‐Silverstein
This figure shows the co-authorship network connecting the top 25 collaborators of Jacquelyn Joseph‐Silverstein. A scholar is included among the top collaborators of Jacquelyn Joseph‐Silverstein 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 Jacquelyn Joseph‐Silverstein. Jacquelyn Joseph‐Silverstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 218 | |
| 3 | The temporal and spatial expression of basic fibroblast growth factor during ocular development in the chicken. | 28 |
| 4 | 40 | |
| 5 | 80 | |
| 6 | 35 | |
| 7 | 156 | |
| 8 | 42 | |
| 9 | 33 | |
| 10 | 347 | |
| 11 | 30 | |
| 12 | 61 | |
| 13 | 113 | |
| 14 | 23 | |
| 15 | 59 | |
| 16 | 238 | |
| 17 | 225 | |
| 18 | 10 | |
| 19 | 40 | |
| 20 | 28 |
About Jacquelyn Joseph‐Silverstein
Jacquelyn Joseph‐Silverstein is a scholar working on Cell Biology, Cancer Research and Molecular Biology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (11 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Cell Biology (444 citations) and Cancer Research (357 citations). Jacquelyn Joseph‐Silverstein has collaborated with scholars based in United States and Italy. Frequent co-authors include David Moscatelli, Daniel B. Rifkin, Marco Presta, D B Rifkin, Mary E. Hatten, M. Lynch, R E Rydel, Janet Sánchez, Katherine M. Lyser and Satoshi Ogawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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.