N Barbier
Impact in
Papers in
- Oncology 6
- Cancer-related Molecular Pathways 6
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- Bacterial Identification and Susceptibility Testing 1
- Co-authors
- Stephen Henry Friend (6 shared papers)Anne‐Lise Børresen‐Dale (4 shared papers)Judy Ellen Garber (3 shared papers)David M. Malkin (3 shared papers)Tone Ikdahl Andersen (2 shared papers)Thierry Frébourg (3 shared papers)Yu-Xin Yan (2 shared papers)Birgitte Smith‐Sørensen (3 shared papers)
- Journals
- Journal of Clinical Oncology (1 paper)Journal of Clinical Microbiology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)Proceedings of the National Academy of Sciences (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United StatesNorwayIceland
In The Last Decade
N Barbier
8 papers receiving 965 citations
Peers
Comparison fields: 5 of 55
- Oncology 406
- Genetics 279
- Pathology and Forensic Medicine 94
- Molecular Medicine 35
- Pulmonary and Respiratory Medicine 162
Countries citing papers authored by N Barbier
This map shows the geographic impact of N Barbier'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 Barbier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N Barbier more than expected).
Fields of papers citing papers by N Barbier
This network shows the impact of papers produced by N Barbier. 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 Barbier. The network helps show where N Barbier may publish in the future.
Co-authors
The 25 scholars most cited alongside N Barbier, 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 | 1992 | 322 | |
| 2 | Germ-line p53 mutations in 15 families with Li-Fraumeni syndrome. | 1995 | 167 |
| 3 | 1994 | 166 | |
| 4 | Screening for germ line TP53 mutations in breast cancer patients. | 1992 | 159 |
| 5 | 1992 | 82 | |
| 6 | 1996 | 70 | |
| 7 | A functional screen for germ line p53 mutations based on transcriptional activation. | 1992 | 61 |
| 8 | 1992 | 1 |
About N Barbier
N Barbier is a scholar working on Oncology, Clinical Biochemistry, Molecular Medicine, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 8 papers that have together received 1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Sarcoma Diagnosis and Treatment (2 papers), Multiple and Secondary Primary Cancers (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Bacterial Identification and Susceptibility Testing (1 paper), Antibiotic Resistance in Bacteria (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Oncology (406 citations), Genetics (279 citations), Pathology and Forensic Medicine (94 citations), Molecular Medicine (35 citations) and Pulmonary and Respiratory Medicine (162 citations). N Barbier has collaborated with scholars based in United States, Norway and Iceland. Frequent co-authors include Stephen Henry Friend, Anne‐Lise Børresen‐Dale, Judy Ellen Garber, David M. Malkin, Tone Ikdahl Andersen, Thierry Frébourg, Yu-Xin Yan, Birgitte Smith‐Sørensen, Alfred Thomas Look and Kent W. Jolly. Their work appears in journals such as Journal of Clinical Oncology, Journal of Clinical Microbiology, International Journal of Radiation Oncology*Biology*Physics, Proceedings of the National Academy of Sciences and New England Journal of Medicine.
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.