Edith Wiener
- Hematology top 2%
- Blood groups and transfusion 18
- Platelet Disorders and Treatments 4
- Immunology top 10%
- Immunodeficiency and Autoimmune Disorders 6
- Genetics top 5%
- Hemoglobinopathies and Related Disorders 10
- Blood disorders and treatments 8
- Physiology top 5%
- Erythrocyte Function and Pathophysiology 18
- Cell Biology top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Glycosylation and Glycoproteins Research 3
- Co-authors
- Zanvil A. CohnE. MargoliashJohn AshworthS. N. WickramasingheD. LevanonN. C. Hughes‐JonesYitzhak MarmaryFatme Mawas
- Cited by
- HematologyImmunologyGenetics
- Journals
- European Journal Of Haematology (7 papers)British Journal of Haematology (6 papers)Transfusion Medicine (3 papers)
- Partner nations
- United KingdomSouth AfricaItaly
In The Last Decade
Edith Wiener
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Hematology 372
- Immunology 417
- Genetics 167
- Physiology 371
- Cell Biology 171
Countries citing papers authored by Edith Wiener
This map shows the geographic impact of Edith 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 Edith Wiener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edith Wiener more than expected).
Fields of papers citing papers by Edith Wiener
This network shows the impact of papers produced by Edith 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 Edith Wiener. The network helps show where Edith Wiener may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Edith 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 | 2008 | 8 | |
| 2 | 2003 | 28 | |
| 3 | 2003 | 17 | |
| 4 | 2000 | 3 | |
| 5 | 1999 | 33 | |
| 6 | 1996 | 3 | |
| 7 | 1996 | 24 | |
| 8 | 1996 | 12 | |
| 9 | 1995 | 13 | |
| 10 | 1994 | 14 | |
| 11 | 1994 | 51 | |
| 12 | 1992 | 22 | |
| 13 | 1991 | 15 | |
| 14 | 1989 | 26 | |
| 15 | 1988 | 3 | |
| 16 | 1987 | 14 | |
| 17 | 1968 | 20 | |
| 18 | 1963 | 229 | |
| 19 | 1963 | 365 | |
| 20 | 1963 | 1 |
About Edith Wiener
Edith Wiener is a scholar working on Hematology, Genetics, Physiology, Immunology and Endocrinology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (18 papers), Blood groups and transfusion (18 papers), Hemoglobinopathies and Related Disorders (10 papers), Blood disorders and treatments (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunodeficiency and Autoimmune Disorders (6 papers), Platelet Disorders and Treatments (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Hematology (372 citations), Immunology (417 citations), Genetics (167 citations), Physiology (371 citations) and Cell Biology (171 citations). Edith Wiener has collaborated with scholars based in United Kingdom, South Africa and Italy. Frequent co-authors include Zanvil A. Cohn, E. Margoliash, John Ashworth, S. N. Wickramasinghe, D. Levanon, N. C. Hughes‐Jones, Yitzhak Marmary, Fatme Mawas, K. M. Thompson and M.D. Melamed. Their work appears in journals such as European Journal Of Haematology, British Journal of Haematology, Transfusion Medicine, The Journal of Experimental Medicine and JAMA.
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.