Jason Shapiro
- Molecular Biology
- Developmental Neuroscience top 1%
- Cellular and Molecular Neuroscience top 10%
- Cancer Research top 10%
- Hematology top 5%
- Co-authors
- Guo‐li MingHongjun SongGerald J. SunMichael A. WheelerMichael A. BonaguidiHossein ArdehaliHsiang‐Chun ChangKonrad Teodor Sawicki
- Topics
- Iron Metabolism and Disorders (5 papers)Mitochondrial Function and Pathology (4 papers)Erythropoietin and Anemia Treatment (4 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Jason Shapiro
27 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 638
- Developmental Neuroscience 490
- Cellular and Molecular Neuroscience 213
- Cancer Research 213
- Hematology 182
Countries citing papers authored by Jason Shapiro
This map shows the geographic impact of Jason Shapiro'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 Jason Shapiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Shapiro more than expected).
Fields of papers citing papers by Jason Shapiro
This network shows the impact of papers produced by Jason Shapiro. 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 Jason Shapiro. The network helps show where Jason Shapiro may publish in the future.
Co-authorship network of co-authors of Jason Shapiro
This figure shows the co-authorship network connecting the top 25 collaborators of Jason Shapiro. A scholar is included among the top collaborators of Jason Shapiro 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 Jason Shapiro. Jason Shapiro 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 | 1 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 24 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 156 | |
| 11 | 5 | |
| 12 | 65 | |
| 13 | 25 | |
| 14 | 20 | |
| 15 | 113 | |
| 16 | 5 | |
| 17 | In Vivo Clonal Analysis Reveals Self-Renewing and Multipotent Adult Neural Stem Cell Characteristicsbreakdown → | 653 |
| 18 | 3 | |
| 19 | Document ontology: supporting narrative documents in electronic health records. | 23 |
| 20 | 5 |
About Jason Shapiro
Jason Shapiro is a scholar working on Reproductive Medicine, Geriatrics and Gerontology and Hematology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (5 papers), Mitochondrial Function and Pathology (4 papers) and Erythropoietin and Anemia Treatment (4 papers). The work is most often cited by research in Developmental Neuroscience (490 citations), Hematology (182 citations) and Neurology (122 citations). Jason Shapiro has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Guo‐li Ming, Hongjun Song, Gerald J. Sun, Michael A. Wheeler, Michael A. Bonaguidi, Hossein Ardehali, Hsiang‐Chun Chang, Konrad Teodor Sawicki, Chunlei Chen and Justin Geier. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.
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.