David Danon
Impact in
- Physiology top 1%
- Erythrocyte Function and Pathophysiology
- Hematology top 2%
Papers in
- Physiology 70
- Erythrocyte Function and Pathophysiology 65
- Hematology 20
- Blood groups and transfusion 12
- Co-authors
- Ehud Skutelsky (20 shared papers)Yehuda Marikovsky (26 shared papers)Reuben Lotan (3 shared papers)Nathan Sharon (3 shared papers)Leonard B. Goldstein (1 shared paper)Richard A. Rifkind (3 shared papers)Itzhak Ohad (4 shared papers)G. S. Roth (2 shared papers)
- Journals
- British Journal of Haematology (12 papers)The Journal of Cell Biology (11 papers)Reproduction (6 papers)Mechanisms of Ageing and Development (4 papers)The Anatomical Record (4 papers)
- Partner nations
- IsraelUnited StatesBulgaria
In The Last Decade
David Danon
158 papers receiving 5.7k citations
David Danon's Hit Papers
Peers
Comparison fields: 5 of 156
- Physiology 1.6k
- Hematology 656
- Rehabilitation 326
- Genetics 457
- Immunology 879
Countries citing papers authored by David Danon
This map shows the geographic impact of David 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 David Danon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Danon more than expected).
Fields of papers citing papers by David Danon
This network shows the impact of papers produced by David 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 David Danon. The network helps show where David Danon may publish in the future.
Co-authors
The 25 scholars most cited alongside David 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
Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The purification, composition, and specificity of the anti-T lectin from peanut (Arachis hypogaea). Hit paper breakdown → | 1975 | 900 |
| 2 | Use of cationized ferritin as a label of negative charges on cell surfaces Hit paper breakdown → | 1972 | 591 |
| 3 | DETERMINATION OF DENSITY DISTRIBUTION OF RED CELL POPULATION. Hit paper breakdown → | 1964 | 355 |
| 4 | 1962 | 231 | |
| 5 | 1989 | 222 | |
| 6 | 1959 | 193 | |
| 7 | 1976 | 141 | |
| 8 | 2006 | 138 | |
| 9 | 1964 | 104 | |
| 10 | 1965 | 100 | |
| 11 | 1967 | 93 | |
| 12 | 1963 | 91 | |
| 13 | 1961 | 90 | |
| 14 | 1986 | 86 | |
| 15 | 1963 | 82 | |
| 16 | 1959 | 81 | |
| 17 | 1969 | 77 | |
| 18 | 1969 | 70 | |
| 19 | 2001 | 69 | |
| 20 | 1987 | 64 |
About David Danon
David Danon is a scholar working on Physiology, Hematology, Rehabilitation, Genetics and Cell Biology, having authored 170 papers that have together received 6.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (65 papers), Blood properties and coagulation (20 papers), Blood groups and transfusion (12 papers), Wound Healing and Treatments (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 (656 citations), Rehabilitation (326 citations), Genetics (457 citations) and Immunology (879 citations). David Danon has collaborated with scholars based in Israel, United States and Bulgaria. Frequent co-authors include Ehud Skutelsky, Yehuda Marikovsky, Reuben Lotan, Nathan Sharon, Leonard B. Goldstein, Richard A. Rifkind, Itzhak Ohad, G. S. Roth, Shlomo Hestrin and Aaqil De Vries. Their work appears in journals such as British Journal of Haematology, The Journal of Cell Biology, Reproduction, Mechanisms of Ageing and Development and The Anatomical Record.
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.