Christopher D. Kaufman
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
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- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Pluripotent Stem Cells Research
Papers in
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- CRISPR and Genetic Engineering 7
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- Developmental Biology and Gene Regulation 2
- TGF-β signaling in diseases 1
- Histone Deacetylase Inhibitors Research 1
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- Chromosomal and Genetic Variations 5
- Co-authors
- Zsuzsanna Izsvák (5 shared papers)Zoltán Ivics (5 shared papers)Perry B. Hackett (4 shared papers)Zongbin Cui (3 shared papers)Daniel F. Voytas (1 shared paper)Aron M. Geurts (1 shared paper)David A. Dean (3 shared papers)Oliver Walisko (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Gene Therapy (2 papers)Proceedings of the National Academy of Sciences (1 paper)Marine Biotechnology (1 paper)Current Issues in Molecular Biology (1 paper)
- Partner nations
- United StatesGermanyHungary
In The Last Decade
Christopher D. Kaufman
12 papers receiving 653 citations
Peers
Comparison fields: 5 of 62
- Genetics 327
- Molecular Biology 590
- Plant Science 171
- Cell Biology 41
- Oncology 55
Countries citing papers authored by Christopher D. Kaufman
This map shows the geographic impact of Christopher D. Kaufman'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 Christopher D. Kaufman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Kaufman more than expected).
Fields of papers citing papers by Christopher D. Kaufman
This network shows the impact of papers produced by Christopher D. Kaufman. 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 Christopher D. Kaufman. The network helps show where Christopher D. Kaufman may publish in the future.
Co-authors
The 22 scholars most cited alongside Christopher D. Kaufman, 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 | 2002 | 213 | |
| 2 | 2002 | 194 | |
| 3 | 2004 | 57 | |
| 4 | 2006 | 39 | |
| 5 | 2010 | 34 | |
| 6 | 2016 | 30 | |
| 7 | 2008 | 27 | |
| 8 | 2000 | 19 | |
| 9 | 2003 | 19 | |
| 10 | 2010 | 15 | |
| 11 | 2001 | 13 | |
| 12 | Frog Prince transposon-based RNAi vectors mediate efficient gene knockdown in human cells. | 2005 | 11 |
About Christopher D. Kaufman
Christopher D. Kaufman is a scholar working on Molecular Biology, Plant Science, Genetics, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 671 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Chromosomal and Genetic Variations (5 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (2 papers), Developmental Biology and Gene Regulation (2 papers), TGF-β signaling in diseases (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Genetics (327 citations), Molecular Biology (590 citations), Plant Science (171 citations), Cell Biology (41 citations) and Oncology (55 citations). Christopher D. Kaufman has collaborated with scholars based in United States, Germany and Hungary. Frequent co-authors include Zsuzsanna Izsvák, Zoltán Ivics, Perry B. Hackett, Zongbin Cui, Daniel F. Voytas, Aron M. Geurts, David A. Dean, Oliver Walisko, Csaba Miskey and Hatem Zayed. Their work appears in journals such as Journal of Molecular Biology, Gene Therapy, Proceedings of the National Academy of Sciences, Marine Biotechnology and Current Issues in Molecular Biology.
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.