James E. Hagstrom
- Genetics top 2%
- Virus-based gene therapy research 9
- Animal Genetics and Reproduction 3
- Molecular Biology top 5%
- RNA Interference and Gene Delivery 19
- Advanced biosensing and bioanalysis techniques 14
- CRISPR and Genetic Engineering 4
- DNA and Nucleic Acid Chemistry 3
- Cancer Research top 10%
- MicroRNA in disease regulation 3
- Biomaterials top 10%
-
- Urologic and reproductive health conditions 3
- Co-authors
- Jon A. WolffDavid L. LewisVladimir G. BudkerA. G. LoomisHans HerweijerSo C. WongGuofeng ZhangJames J. Ludtke
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
James E. Hagstrom
31 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Genetics 989
- Molecular Biology 2.4k
- Cancer Research 283
- Biomaterials 182
- Immunology 203
Countries citing papers authored by James E. Hagstrom
This map shows the geographic impact of James E. 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 James E. Hagstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Hagstrom more than expected).
Fields of papers citing papers by James E. Hagstrom
This network shows the impact of papers produced by James E. 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 James E. Hagstrom. The network helps show where James E. Hagstrom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James E. Hagstrom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 25 | |
| 2 | Dynamic PolyConjugates for targeted in vivo delivery of siRNA to hepatocytesbreakdown → | 2007 | 523 |
| 3 | 2006 | 98 | |
| 4 | 2006 | 90 | |
| 5 | 2005 | 25 | |
| 6 | 2003 | 30 | |
| 7 | 2003 | 140 | |
| 8 | 2002 | 12 | |
| 9 | 2002 | 447 | |
| 10 | 1999 | 21 | |
| 11 | 1999 | 86 | |
| 12 | 1999 | 72 | |
| 13 | 1998 | 210 | |
| 14 | 1996 | 60 | |
| 15 | 1996 | 114 | |
| 16 | 1996 | 19 | |
| 17 | 1992 | 7 | |
| 18 | 1991 | 4 | |
| 19 | 1989 | 12 | |
| 20 | 1989 | 16 |
About James E. Hagstrom
James E. Hagstrom is a scholar working on Molecular Biology, Genetics, Cancer Research, Reproductive Medicine and Rheumatology, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (19 papers), Advanced biosensing and bioanalysis techniques (14 papers), Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (4 papers), MicroRNA in disease regulation (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Animal Genetics and Reproduction (3 papers) and Urologic and reproductive health conditions (3 papers). The work is most often cited by research in Genetics (989 citations), Molecular Biology (2.4k citations), Cancer Research (283 citations), Biomaterials (182 citations) and Immunology (203 citations). James E. Hagstrom has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Jon A. Wolff, David L. Lewis, Vladimir G. Budker, A. G. Loomis, Hans Herweijer, So C. Wong, Guofeng Zhang, James J. Ludtke, P. Roesch and Jason J. Klein. Their work appears in journals such as Molecular Therapy, Human Gene Therapy, BioTechniques, Analytical Biochemistry and Nature Biotechnology.
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.