William Pollack

1.9k citations
55 papers · 1.3k · h-index 18

Impact in

Papers in

    • Blood groups and transfusion 28
    • Erythrocyte Function and Pathophysiology 6
    • Clinical Laboratory Practices and Quality Control 3

William Pollack

50 papers receiving 1.1k citations

Peers

William Pollack
Comparison fields: 5 of 118
  • Hematology 685
  • Biochemistry 107
  • Genetics 175
  • Pediatrics, Perinatology and Child Health 250
  • Physiology 309
Replace H. H. Gunson with:
H. H. Gunson Nigeria
Alain Cosson France
Margaret Nelson Australia
Stephen J. Gray United Kingdom
Judith G. Pool United States
James H. Pert United States
Karen Nelson United States
Laura Cooling United States
Silvano Wendel Brazil
D. G. Woodfield New Zealand
William Pollack relative to H. H. Gunson Nigeria H. H. Gunson's profile →
Citations per field
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Citations per year

Countries citing papers authored by William Pollack

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with William Pollack Line = papers co-authored together William Pollack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1965139
2 1964133
3 1975119
4 1971110
5 1971100
6 196675
7 196874
8 196859
9 198943
10 198541
11 196937
12 197334
13 197534
14 196133
15 196526
16 197524
17 196719
18 197018
19 197716
20 197016

About William Pollack

William Pollack is a scholar working on Hematology, Physiology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood groups and transfusion (28 papers), Erythrocyte Function and Pathophysiology (6 papers), Hepatitis B Virus Studies (4 papers), Hemoglobinopathies and Related Disorders (4 papers), Clinical Laboratory Practices and Quality Control (3 papers), T-cell and B-cell Immunology (3 papers), Neonatal Health and Biochemistry (3 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Hematology (685 citations), Biochemistry (107 citations), Genetics (175 citations), Pediatrics, Perinatology and Child Health (250 citations) and Physiology (309 citations). William Pollack has collaborated with scholars based in United States, Sweden and Switzerland. 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, International Archives of Allergy and Immunology, New England Journal of Medicine, The Lancet and Vox Sanguinis.

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.

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