J L Ferrara
- Immunology top 5%
- Hematology top 1%
- Oncology
- Molecular Biology
- Epidemiology
- Co-authors
- David BungardJames M. CrawfordYani S. BrinsonKenneth R. CookeGeoffrey R. HillD. Gary GillilandWerner KrengerJohn Delmonte
- Topics
- Hematopoietic Stem Cell Transplantation (12 papers)Immunotherapy and Immune Responses (7 papers)T-cell and B-cell Immunology (4 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Immunology
- Partner nations
- United States
In The Last Decade
J L Ferrara
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Immunology 769
- Hematology 713
- Oncology 179
- Molecular Biology 151
- Epidemiology 94
Countries citing papers authored by J L Ferrara
This map shows the geographic impact of J L Ferrara'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 J L Ferrara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J L Ferrara more than expected).
Fields of papers citing papers by J L Ferrara
This network shows the impact of papers produced by J L Ferrara. 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 J L Ferrara. The network helps show where J L Ferrara may publish in the future.
Co-authorship network of co-authors of J L Ferrara
This figure shows the co-authorship network connecting the top 25 collaborators of J L Ferrara. A scholar is included among the top collaborators of J L Ferrara 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 J L Ferrara. J L Ferrara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | Clinical protocol. Purging of autologous stem cell sources with bcl-x(s) adenovirus for women undergoing high-dose chemotherapy for stage IV breast carcinoma. | 1 |
| 4 | 22 | |
| 5 | 234 | |
| 6 | 278 | |
| 7 | 25 | |
| 8 | 50 | |
| 9 | TCR-beta transgenic mice fail to mediate a GVHR due to defects of allorecognition and subsequent IL-2 generation. | 3 |
| 10 | Adoptive immunotherapy with donor mononuclear cell infusions to treat relapse of acute leukemia or myelodysplasia after allogeneic bone marrow transplantation. | 85 |
| 11 | 166 | |
| 12 | Cytokine storm of graft-versus-host disease: a critical effector role for interleukin-1. | 197 |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 10 | |
| 17 | 49 |
About J L Ferrara
J L Ferrara is a scholar working on Hematology, Immunology and Genetics, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (12 papers), Immunotherapy and Immune Responses (7 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Hematology (713 citations), Immunology (769 citations) and Genetics (79 citations). J L Ferrara has collaborated with scholars based in United States. Frequent co-authors include David Bungard, James M. Crawford, Yani S. Brinson, Kenneth R. Cooke, Geoffrey R. Hill, D. Gary Gilliland, Werner Krenger, John Delmonte, Takanori Teshima and James C. Keith. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.
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.