Barnet Woolf

3.4k citations
11 papers · 2.8k · 1 hit paper · h-index 8

Impact in

    • Statistical Methods and Bayesian Inference
    • Statistical Methods in Clinical Trials
  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 2
    • Genetic diversity and population structure 2
    • Insect and Arachnid Ecology and Behavior 1
    • Evolution and Genetic Dynamics 1
    • Fungal and yeast genetics research 1

Barnet Woolf

11 papers receiving 2.5k citations

Barnet Woolf's Hit Papers

ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE 1955 · 2.4k citations
2.4k0+23+47Years since publication50010001.5k2.0k

Peers

Barnet Woolf
Comparison fields: 5 of 169
  • Statistics and Probability 199
  • Immunology 453
  • Hematology 223
  • Rheumatology 282
  • Genetics 483
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Barnet Woolf relative to John T. Casagrande United States John T. Casagrande's profile →
Citations per field
00.5×2×3×4.3×
John T. Casagrande · 1×
Citations per year

Countries citing papers authored by Barnet Woolf

Since Specialization
Citations

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

Fields of papers citing papers by Barnet Woolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barnet Woolf. 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 Barnet Woolf. The network helps show where Barnet Woolf may publish in the future.

Co-authors

The 6 scholars most cited alongside Barnet Woolf, 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 Barnet Woolf Line = papers co-authored together Barnet Woolf links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE
Hit paper breakdown →
19552431
2 1957159
3 195369
4 195428
5 195120
6 195417
7 195713
8 19607
9 19546
10
Environmental effects in quantitative inheritance.
19526
11 19582

About Barnet Woolf

Barnet Woolf is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Artificial Intelligence and Physiology, having authored 11 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Genetic diversity and population structure (2 papers), Spectroscopy and Chemometric Analyses (1 paper), Insect and Arachnid Ecology and Behavior (1 paper), Evolution and Genetic Dynamics (1 paper), Diet and metabolism studies (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Statistics and Probability (199 citations), Immunology (453 citations), Hematology (223 citations), Rheumatology (282 citations) and Genetics (483 citations). Barnet Woolf has collaborated with scholars based in United Kingdom. Frequent co-authors include R. Passmore, C. H. Waddington, Margaret M. Perry, C. Auerbach, Harry L. Graber and Ingram Olkin. Their work appears in journals such as Annals of Human Genetics, Proceedings of The Nutrition Society, Genetics, The Journal of Physiology and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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