Jason M. Butler
- Molecular Biology top 2%
- Oncology top 2%
- Hematology top 0.5%
- Immunology top 2%
- Cancer Research top 2%
- Co-authors
- Shahin RafiiBi‐Sen DingKoji ShidoDaniel J. NolanHideki KobayashiZev RosenwaksDaylon JamesMichael G. Poulos
- Topics
- Hematopoietic Stem Cell Transplantation (24 papers)Zebrafish Biomedical Research Applications (12 papers)Acute Myeloid Leukemia Research (11 papers)
- Cited by
- HematologyGeneticsCancer Research
- Partner nations
- United StatesQatarFrance
In The Last Decade
Jason M. Butler
49 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.9k
- Oncology 1.6k
- Hematology 1.5k
- Immunology 1.2k
- Cancer Research 942
Countries citing papers authored by Jason M. Butler
This map shows the geographic impact of Jason M. Butler'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 M. Butler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason M. Butler more than expected).
Fields of papers citing papers by Jason M. Butler
This network shows the impact of papers produced by Jason M. Butler. 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 M. Butler. The network helps show where Jason M. Butler may publish in the future.
Co-authorship network of co-authors of Jason M. Butler
This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Butler. A scholar is included among the top collaborators of Jason M. Butler 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 M. Butler. Jason M. Butler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 28 | |
| 4 | 25 | |
| 5 | 6 | |
| 6 | 36 | |
| 7 | 40 | |
| 8 | 154 | |
| 9 | 55 | |
| 10 | 1 | |
| 11 | Angiocrine functions of organ-specific endothelial cellsbreakdown → | 660 |
| 12 | 175 | |
| 13 | 25 | |
| 14 | 11 | |
| 15 | 447 | |
| 16 | Inductive angiocrine signals from sinusoidal endothelium are required for liver regenerationbreakdown → | 613 |
| 17 | 293 | |
| 18 | Significant range extension for the Central American Colubrid snake Ninia pavimentata (Bocourt 1883) | 0 |
| 19 | CD133 expression is not restricted to stem cells, and both CD133+ and CD133– metastatic colon cancer cells initiate tumorsbreakdown → | 731 |
| 20 | Stromal Derived Factor–1 Affects Multiple Steps in Stem Cell Recruitment to Areas of Ocular Neovascularization | 1 |
About Jason M. Butler
Jason M. Butler is a scholar working on Hematology, Cell Biology and Genetics, having authored 51 papers that have together received 6.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Zebrafish Biomedical Research Applications (12 papers) and Acute Myeloid Leukemia Research (11 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (851 citations) and Cancer Research (942 citations). Jason M. Butler has collaborated with scholars based in United States, Qatar and France. Frequent co-authors include Shahin Rafii, Bi‐Sen Ding, Koji Shido, Daniel J. Nolan, Hideki Kobayashi, Zev Rosenwaks, Daylon James, Michael G. Poulos, Sina Y. Rabbany and Hideki Kobayashi. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.