J. Nathan Hagstrom
- Genetics top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Hematology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Katherine A. HighRoland W. HerzogShing Jen TaiPaul FieldsKrishna J. FisherLinda B. CoutoJames M. WilsonJohannes Walter
- Topics
- Virus-based gene therapy research (15 papers)CAR-T cell therapy research (9 papers)Viral Infectious Diseases and Gene Expression in Insects (5 papers)
- Cited by
- GeneticsHematologyOncology
- Journals
- Proceedings of the National Academy of SciencesNature MedicineSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
J. Nathan Hagstrom
24 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 78
- Genetics 1.4k
- Molecular Biology 1.2k
- Oncology 653
- Hematology 370
- Cardiology and Cardiovascular Medicine 197
Countries citing papers authored by J. Nathan Hagstrom
This map shows the geographic impact of J. Nathan Hagstrom'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. Nathan Hagstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Nathan Hagstrom more than expected).
Fields of papers citing papers by J. Nathan Hagstrom
This network shows the impact of papers produced by J. Nathan Hagstrom. 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. Nathan Hagstrom. The network helps show where J. Nathan Hagstrom may publish in the future.
Co-authorship network of co-authors of J. Nathan Hagstrom
This figure shows the co-authorship network connecting the top 25 collaborators of J. Nathan Hagstrom. A scholar is included among the top collaborators of J. Nathan Hagstrom 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. Nathan Hagstrom. J. Nathan Hagstrom 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 | 71 | |
| 3 | 1 | |
| 4 | 46 | |
| 5 | 25 | |
| 6 | 32 | |
| 7 | 19 | |
| 8 | 10 | |
| 9 | Non-viral approaches for gene transfer. | 12 |
| 10 | 10 | |
| 11 | 107 | |
| 12 | 39 | |
| 13 | 115 | |
| 14 | 55 | |
| 15 | 109 | |
| 16 | 102 | |
| 17 | 163 | |
| 18 | 397 | |
| 19 | 114 | |
| 20 | 6 |
About J. Nathan Hagstrom
J. Nathan Hagstrom is a scholar working on Transplantation, Genetics and Hematology, having authored 24 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), CAR-T cell therapy research (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (370 citations) and Oncology (653 citations). J. Nathan Hagstrom has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Katherine A. High, Roland W. Herzog, Shing Jen Tai, Paul Fields, Krishna J. Fisher, Linda B. Couto, James M. Wilson, Johannes Walter, Gary J. Kurtzman and Edmund Y. Yang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and SHILAP Revista de lepidopterología.
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.