Philip Levine
Impact in
- Hematology top 0.5%
- Blood groups and transfusion
- Physiology top 5%
- Erythrocyte Function and Pathophysiology
Papers in
- Hematology 65
- Blood groups and transfusion 63
- Physiology 38
- Erythrocyte Function and Pathophysiology 36
- Co-authors
- Marino Celano (24 shared papers)Elizabeth A. Koch (7 shared papers)David Staiger (1 shared paper)Jonathan Gruber (1 shared paper)Elizabeth A. Robinson (6 shared papers)J. Fabricant (3 shared papers)William Pollack (4 shared papers)Jane White (3 shared papers)
- Journals
- Vox Sanguinis (19 papers)Nature (9 papers)Transfusion (8 papers)Avian Diseases (8 papers)Blood (8 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Philip Levine
100 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 133
- Hematology 1.1k
- Physiology 645
- Microbiology 122
- Genetics 199
- Genetics 389
Countries citing papers authored by Philip Levine
This map shows the geographic impact of Philip Levine'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 Philip Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Levine more than expected).
Fields of papers citing papers by Philip Levine
This network shows the impact of papers produced by Philip Levine. 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 Philip Levine. The network helps show where Philip Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Philip Levine, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 174 | |
| 2 | 1955 | 119 | |
| 3 | 1951 | 79 | |
| 4 | The influence of the ABO system on Rh hemolytic disease. | 1958 | 74 |
| 5 | 1956 | 59 | |
| 6 | 1962 | 58 | |
| 7 | 1963 | 53 | |
| 8 | 1951 | 51 | |
| 9 | 1979 | 51 | |
| 10 | 1954 | 49 | |
| 11 | 1963 | 48 | |
| 12 | 1961 | 44 | |
| 13 | 1964 | 44 | |
| 14 | 1954 | 43 | |
| 15 | 1965 | 43 | |
| 16 | 1969 | 37 | |
| 17 | 1967 | 37 | |
| 18 | 1955 | 36 | |
| 19 | 1973 | 34 | |
| 20 | 1953 | 34 |
About Philip Levine
Philip Levine is a scholar working on Hematology, Physiology, Genetics, Immunology and Molecular Biology, having authored 111 papers that have together received 2.0k indexed citations. Recurring topics across this work include Blood groups and transfusion (63 papers), Erythrocyte Function and Pathophysiology (36 papers), Blood disorders and treatments (11 papers), Diabetes and associated disorders (10 papers), Neonatal Health and Biochemistry (8 papers), Hemoglobinopathies and Related Disorders (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Hematology (1.1k citations), Physiology (645 citations), Microbiology (122 citations), Genetics (199 citations) and Genetics (389 citations). Philip Levine has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Marino Celano, Elizabeth A. Koch, David Staiger, Jonathan Gruber, Elizabeth A. Robinson, J. Fabricant, William Pollack, Jane White, Sen‐itiroh Hakomori and B. W. Calnek. Their work appears in journals such as Vox Sanguinis, Nature, Transfusion, Avian Diseases and Blood.
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.