D. Danon
- Physiology top 1%
- Erythrocyte Function and Pathophysiology 63
- Hematology top 2%
- Blood groups and transfusion 11
- Rehabilitation top 1%
- Wound Healing and Treatments 11
- Genetics top 2%
- Hemoglobinopathies and Related Disorders 9
- Immunology top 5%
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- Blood properties and coagulation 20
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- Neonatal Health and Biochemistry 10
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- Lipid Membrane Structure and Behavior 8
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- Pancreatic function and diabetes 8
- Co-authors
- Ehud SkutelskyY. MarikovskyNathan SharonReuben LotanL GoldsteinRichard A. RifkindItzhak OhadG. S. Roth
- Cited by
- PhysiologyHematologyRehabilitation
- Journals
- British Journal of Haematology (12 papers)The Journal of Cell Biology (11 papers)Reproduction (6 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
D. Danon
162 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Physiology 1.6k
- Hematology 619
- Rehabilitation 337
- Genetics 459
- Immunology 837
Countries citing papers authored by D. Danon
This map shows the geographic impact of D. Danon'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 D. Danon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Danon more than expected).
Fields of papers citing papers by D. Danon
This network shows the impact of papers produced by D. Danon. 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 D. Danon. The network helps show where D. Danon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. Danon, 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 | 2017 | 16 | |
| 2 | 2015 | 18 | |
| 3 | 2012 | 8 | |
| 4 | 2010 | 38 | |
| 5 | 2009 | 5 | |
| 6 | 2006 | 4 | |
| 7 | 2005 | 25 | |
| 8 | 2004 | 35 | |
| 9 | 2001 | 64 | |
| 10 | 1997 | 53 | |
| 11 | 1995 | 8 | |
| 12 | 1992 | 18 | |
| 13 | Phagocytosis of 'old' red blood cells by macrophages from syngeneic mice in vitro. | 1977 | 9 |
| 14 | 1971 | 25 | |
| 15 | 1970 | 12 | |
| 16 | 1969 | 73 | |
| 17 | 1968 | 6 | |
| 18 | 1967 | 10 | |
| 19 | 1966 | 13 | |
| 20 | 1966 | 14 |
About D. Danon
D. Danon is a scholar working on Physiology, Hematology, Rehabilitation, Occupational Therapy and Genetics, having authored 167 papers that have together received 6.0k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (63 papers), Blood properties and coagulation (20 papers), Wound Healing and Treatments (11 papers), Blood groups and transfusion (11 papers), Neonatal Health and Biochemistry (10 papers), Hemoglobinopathies and Related Disorders (9 papers), Lipid Membrane Structure and Behavior (8 papers) and Pancreatic function and diabetes (8 papers). The work is most often cited by research in Physiology (1.6k citations), Hematology (619 citations), Rehabilitation (337 citations), Genetics (459 citations) and Immunology (837 citations). D. Danon has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ehud Skutelsky, Y. Marikovsky, Nathan Sharon, Reuben Lotan, L Goldstein, Richard A. Rifkind, Itzhak Ohad, G. S. Roth, S. Hestrin and À. de Vries. Their work appears in journals such as British Journal of Haematology, The Journal of Cell Biology, Reproduction, Transfusion and Experimental Gerontology.
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.