N Kabrun
Impact in
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
-
- interferon and immune responses 3
- Co-authors
- Kyunghee Choi (2 shared papers)Gordon Keller (2 shared papers)Meri T. Firpo (1 shared paper)Scott Robertson (1 shared paper)Marion Kennedy (1 shared paper)Werner Risau (1 shared paper)A. Ullrich (1 shared paper)Hans-Jörg Bühring (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Development (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
N Kabrun
10 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Cell Biology 392
- Cancer Research 300
- Immunology 315
- Hematology 148
- Molecular Biology 744
Countries citing papers authored by N Kabrun
This map shows the geographic impact of N Kabrun'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 N Kabrun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Kabrun more than expected).
Fields of papers citing papers by N Kabrun
This network shows the impact of papers produced by N Kabrun. 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 N Kabrun. The network helps show where N Kabrun may publish in the future.
Co-authors
The 24 scholars most cited alongside N Kabrun, 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 | 1997 | 462 | |
| 2 | 1990 | 293 | |
| 3 | 1993 | 206 | |
| 4 | 1992 | 60 | |
| 5 | Viral rel and cellular rel associate with cellular proteins in transformed and normal cells. | 1989 | 47 |
| 6 | 1991 | 32 | |
| 7 | The Rel family of proteins in oncogenesis and differentiation. | 1994 | 23 |
| 8 | 1990 | 13 | |
| 9 | The role of the carboxy terminus of v-Rel in transformation and activation of endogenous gene expression. | 1995 | 5 |
| 10 | 1990 | 2 |
About N Kabrun
N Kabrun is a scholar working on Molecular Biology, Immunology, Animal Science and Zoology, Cell Biology and Genetics, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include interferon and immune responses (3 papers), RNA Interference and Gene Delivery (2 papers), Zebrafish Biomedical Research Applications (2 papers), RNA Research and Splicing (2 papers), Animal Virus Infections Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer Mechanisms and Therapy (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cell Biology (392 citations), Cancer Research (300 citations), Immunology (315 citations), Hematology (148 citations) and Molecular Biology (744 citations). N Kabrun has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Kyunghee Choi, Gordon Keller, Meri T. Firpo, Scott Robertson, Marion Kennedy, Werner Risau, A. Ullrich, Hans-Jörg Bühring, Paula J. Enrietto and Jana Šmardová. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Development, Nature and Cell.
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.