F. Wiener
- Hematology top 5%
- Multiple Myeloma Research and Treatments 20
- Genetics top 10%
- Virus-based gene therapy research 4
- Chronic Lymphocytic Leukemia Research 4
- Cancer Research top 10%
- Oncology top 10%
- Immunology top 10%
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- Protein Degradation and Inhibitors 10
- Biomedical Text Mining and Ontologies 6
- Glycosylation and Glycoproteins Research 5
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- Monoclonal and Polyclonal Antibodies Research 5
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- Microtubule and mitosis dynamics 4
- Cited by
- HematologyGeneticsCancer Research
- Journals
- Journal of Cell Science (5 papers)Current topics in microbiology and immunology (5 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- SwedenUnited StatesIsrael
In The Last Decade
F. Wiener
77 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 117
- Hematology 268
- Genetics 157
- Cancer Research 211
- Oncology 381
- Immunology 268
Countries citing papers authored by F. Wiener
This map shows the geographic impact of F. Wiener'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 F. Wiener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Wiener more than expected).
Fields of papers citing papers by F. Wiener
This network shows the impact of papers produced by F. Wiener. 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 F. Wiener. The network helps show where F. Wiener may publish in the future.
Co-authorship network
The 25 scholars most cited alongside F. Wiener, 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 | 2010 | 7 | |
| 2 | 2002 | 10 | |
| 3 | 2002 | 27 | |
| 4 | 1998 | 43 | |
| 5 | 1994 | 2 | |
| 6 | 1992 | 4 | |
| 7 | 1992 | 8 | |
| 8 | 1990 | 1 | |
| 9 | 1990 | 17 | |
| 10 | 1990 | 7 | |
| 11 | 1990 | 1 | |
| 12 | 1989 | 1 | |
| 13 | 1989 | 5 | |
| 14 | 1989 | 6 | |
| 15 | 1988 | 9 | |
| 16 | 1987 | 5 | |
| 17 | 1984 | 31 | |
| 18 | 1979 | 14 | |
| 19 | 1971 | 199 | |
| 20 | 1968 | 1 |
About F. Wiener
F. Wiener is a scholar working on Hematology, Issues, ethics and legal aspects, Genetics, Molecular Biology and Health Information Management, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (20 papers), Protein Degradation and Inhibitors (10 papers), Biomedical Text Mining and Ontologies (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Virus-based gene therapy research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Hematology (268 citations), Genetics (157 citations), Cancer Research (211 citations), Oncology (381 citations) and Immunology (268 citations). F. Wiener has collaborated with scholars based in Sweden, United States and Israel. Frequent co-authors include George Klein, H. Harris, U Bregula, Magda Babonits, Jack Spira, Shigeo Ohno, Polo Sujov, Viktor Bialik, Shraga Blazer and Moshe Berant. Their work appears in journals such as Journal of Cell Science, Current topics in microbiology and immunology, Proceedings of the National Academy of Sciences, Computer Methods and Programs in Biomedicine and The Journal of Experimental 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.