M S Pollack

1.6k citations
38 papers · 1.3k · h-index 17

Impact in

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • Sexual Differentiation and Disorders 9

M S Pollack

37 papers receiving 1.2k citations

Peers

M S Pollack
Comparison fields: 5 of 81
  • Pediatrics, Perinatology and Child Health 280
  • Genetics 426
  • Immunology 305
  • Hematology 142
  • Clinical Biochemistry 87
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Citations per field
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Citations per year

Countries citing papers authored by M S Pollack

Since Specialization
Citations

This map shows the geographic impact of M S 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 M S Pollack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M S Pollack more than expected).

Fields of papers citing papers by M S Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M S 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 M S Pollack. The network helps show where M S Pollack may publish in the future.

Co-authors

The 25 scholars most cited alongside M S 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 M S Pollack Line = papers co-authored together M S Pollack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Uniparental disomy as a mechanism for human genetic disease.
1988382
2 1979103
3 198387
4
HLA linkage and B14, DR1, BfS haplotype association with the genes for late onset and cryptic 21-hydroxylase deficiency.
198183
5 198065
6 199762
7 199061
8 198750
9 198546
10
Assignment of autosomal dominant spinocerebellar ataxia (SCA1) centromeric to the HLA region on the short arm of chromosome 6, using multilocus linkage analysis.
198942
11 198436
12 200333
13 199324
14 198522
15
Tight linkage of the gene for spinocerebellar ataxia to D6S89 on the short arm of chromosome 6 in a kindred for which close linkage to both HLA and F13A1 is excluded.
199122
16 198721
17 198917
18 198114
19 198114
20 198213

About M S Pollack

M S Pollack is a scholar working on Immunology, Molecular Biology, Hematology, Pediatrics, Perinatology and Child Health and Surgery, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (9 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Prenatal Screening and Diagnostics (3 papers), Metabolism and Genetic Disorders (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (280 citations), Genetics (426 citations), Immunology (305 citations), Hematology (142 citations) and Clinical Biochemistry (87 citations). M S Pollack has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Bo Dupont, W E O'Brien, Gillian Greig, H.F. Willard, J. Edward Spence, J. Fielding Hejtmancik, A L Beaudet, David H. Ledbetter, R R Rich and L S Levine. Their work appears in journals such as Transfusion, The Journal of Immunology, Scandinavian Journal of Immunology, JAMA and Bone Marrow Transplantation.

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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