William Pollack
Impact in
- Hematology top 1%
- Blood groups and transfusion
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Blood disorders and treatments
Papers in
- Hematology 30
- Blood groups and transfusion 30
- Physiology 13
- Erythrocyte Function and Pathophysiology 7
- Co-authors
- Vincent J. Freda (15 shared papers)John G. Gorman (8 shared papers)W. Q. Ascari (4 shared papers)D Tripodi (9 shared papers)David J. Gocke (3 shared papers)Ho To (2 shared papers)H. O. Singher (2 shared papers)Albert P. McKee (6 shared papers)
- Journals
- Transfusion (10 papers)Vox Sanguinis (3 papers)The Lancet (3 papers)New England Journal of Medicine (3 papers)Journal of Hospital Infection (2 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
William Pollack
47 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 122
- Hematology 720
- Genetics 164
- Biochemistry 90
- Pediatrics, Perinatology and Child Health 248
- Physiology 308
Countries citing papers authored by William Pollack
This map shows the geographic impact of William Pollack'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 William Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Pollack more than expected).
Fields of papers citing papers by William Pollack
This network shows the impact of papers produced by William Pollack. 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 William Pollack. The network helps show where William Pollack may publish in the future.
Co-authors
The 25 scholars most cited alongside William Pollack, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1965 | 154 | |
| 2 | 1964 | 148 | |
| 3 | 1975 | 133 | |
| 4 | 1971 | 122 | |
| 5 | 1971 | 105 | |
| 6 | 1968 | 83 | |
| 7 | 1966 | 82 | |
| 8 | 1968 | 66 | |
| 9 | 1989 | 49 | |
| 10 | 1975 | 48 | |
| 11 | 1985 | 43 | |
| 12 | 1969 | 42 | |
| 13 | 1973 | 38 | |
| 14 | 1961 | 36 | |
| 15 | 1965 | 28 | |
| 16 | 1975 | 25 | |
| 17 | 1967 | 21 | |
| 18 | 1969 | 15 | |
| 19 | 1976 | 12 | |
| 20 | 1989 | 12 |
About William Pollack
William Pollack is a scholar working on Hematology, Physiology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood groups and transfusion (30 papers), Erythrocyte Function and Pathophysiology (7 papers), Hepatitis B Virus Studies (4 papers), Neonatal Health and Biochemistry (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Historical Medical Research and Treatments (4 papers), Hepatitis C virus research (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Hematology (720 citations), Genetics (164 citations), Biochemistry (90 citations), Pediatrics, Perinatology and Child Health (248 citations) and Physiology (308 citations). William Pollack has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Vincent J. Freda, John G. Gorman, W. Q. Ascari, D Tripodi, David J. Gocke, Ho To, H. O. Singher, Albert P. McKee, J. G. Gorman and Philip Levine. Their work appears in journals such as Transfusion, Vox Sanguinis, The Lancet, New England Journal of Medicine and Journal of Hospital Infection.
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.