Hans Herweijer
Impact in
Papers in
-
- RNA Interference and Gene Delivery 15
- CRISPR and Genetic Engineering 6
- Viral Infectious Diseases and Gene Expression in Insects 5
- Muscle Physiology and Disorders 4
- Advanced biosensing and bioanalysis techniques 4
- Genetics 18
- Virus-based gene therapy research 16
- Co-authors
- Jon A. Wolff (18 shared papers)Kees Nooter (10 shared papers)David L. Lewis (6 shared papers)James E. Hagstrom (5 shared papers)A. G. Loomis (1 shared paper)Guofeng Zhang (6 shared papers)Pieter Sonneveld (4 shared papers)Frank Baas (2 shared papers)
- Journals
- Human Gene Therapy (6 papers)Molecular Therapy (5 papers)International Journal of Cancer (3 papers)Gene Therapy (2 papers)Cytometry (2 papers)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
Hans Herweijer
39 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 110
- Oncology 723
- Genetics 755
- Molecular Biology 1.8k
- Infectious Diseases 235
- Genetics 131
Countries citing papers authored by Hans Herweijer
This map shows the geographic impact of Hans Herweijer'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 Hans Herweijer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Herweijer more than expected).
Fields of papers citing papers by Hans Herweijer
This network shows the impact of papers produced by Hans Herweijer. 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 Hans Herweijer. The network helps show where Hans Herweijer may publish in the future.
Co-authors
The 25 scholars most cited alongside Hans Herweijer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 449 | |
| 2 | 2003 | 308 | |
| 3 | 1990 | 187 | |
| 4 | 1991 | 177 | |
| 5 | 2004 | 149 | |
| 6 | 2006 | 145 | |
| 7 | 1996 | 123 | |
| 8 | 2001 | 120 | |
| 9 | 1990 | 113 | |
| 10 | 2006 | 91 | |
| 11 | 1995 | 76 | |
| 12 | 1999 | 71 | |
| 13 | 1991 | 59 | |
| 14 | 2004 | 59 | |
| 15 | 2008 | 57 | |
| 16 | 1993 | 55 | |
| 17 | 1990 | 51 | |
| 18 | 1991 | 44 | |
| 19 | 1992 | 44 | |
| 20 | 2007 | 39 |
About Hans Herweijer
Hans Herweijer is a scholar working on Molecular Biology, Genetics, Oncology, Biomedical Engineering and Genetics, having authored 39 papers that have together received 2.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), RNA Interference and Gene Delivery (15 papers), Drug Transport and Resistance Mechanisms (9 papers), CRISPR and Genetic Engineering (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), CAR-T cell therapy research (4 papers), Muscle Physiology and Disorders (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Oncology (723 citations), Genetics (755 citations), Molecular Biology (1.8k citations), Infectious Diseases (235 citations) and Genetics (131 citations). Hans Herweijer has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Jon A. Wolff, Kees Nooter, David L. Lewis, James E. Hagstrom, A. G. Loomis, Guofeng Zhang, Pieter Sonneveld, Frank Baas, Jeffery D. Fritz and Vladimir G. Budker. Their work appears in journals such as Human Gene Therapy, Molecular Therapy, International Journal of Cancer, Gene Therapy and Cytometry.
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.