Barnet Woolf

3.4k total citations · 1 hit paper
11 papers, 2.7k citations indexed

About

Barnet Woolf is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Barnet Woolf has authored 11 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Statistics and Probability. Recurrent topics in Barnet Woolf's work include Genetic diversity and population structure (2 papers), Advanced Statistical Methods and Models (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Barnet Woolf is often cited by papers focused on Genetic diversity and population structure (2 papers), Advanced Statistical Methods and Models (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). Barnet Woolf collaborates with scholars based in United Kingdom. Barnet Woolf's co-authors include R. Passmore, C. H. Waddington, Margaret M. Perry, Harry L. Graber, C. Auerbach and Ingram Olkin and has published in prestigious journals such as The Journal of Physiology, Genetics and Evolution.

In The Last Decade

Barnet Woolf

11 papers receiving 2.5k citations

Hit Papers

ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE 1955 2026 1978 2002 1955 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Barnet Woolf United Kingdom 7 509 505 327 297 270 11 2.7k
J. Watkins United Kingdom 28 576 1.1× 487 1.0× 990 3.0× 133 0.4× 325 1.2× 122 3.3k
R. Eeckels Belgium 24 244 0.5× 234 0.5× 635 1.9× 135 0.5× 198 0.7× 97 2.3k
Victor Siskind Australia 38 213 0.4× 439 0.9× 388 1.2× 133 0.4× 261 1.0× 146 4.9k
E. P. Cronkite United States 40 836 1.6× 561 1.1× 1.4k 4.4× 297 1.0× 388 1.4× 241 6.0k
George F. Reed United States 33 218 0.4× 164 0.3× 639 2.0× 137 0.5× 288 1.1× 84 4.3k
Jeffrey S. Warren United States 41 1.9k 3.7× 325 0.6× 852 2.6× 298 1.0× 538 2.0× 93 4.9k
Karim F. Hirji United States 26 613 1.2× 121 0.2× 283 0.9× 70 0.2× 159 0.6× 64 3.0k
John T. Casagrande United States 23 388 0.8× 1.2k 2.5× 1.9k 5.8× 77 0.3× 326 1.2× 34 5.6k
Jane M. Olson United States 34 646 1.3× 2.0k 4.0× 911 2.8× 480 1.6× 629 2.3× 80 4.3k
Dan L. Longo United States 38 627 1.2× 337 0.7× 890 2.7× 180 0.6× 257 1.0× 76 5.0k

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-authorship network of co-authors of Barnet Woolf

This figure shows the co-authorship network connecting the top 25 collaborators of Barnet Woolf. A scholar is included among the top collaborators of Barnet Woolf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Barnet Woolf. Barnet Woolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Auerbach, C. & Barnet Woolf. (1960). ALPHA AND BETA LOCI IN DROSOPHILA. Genetics. 45(12). 1691–1703. 6 indexed citations
2.
Olkin, Ingram & Barnet Woolf. (1958). The Log Likelihood Ratio Test (the g-test). Methods and Tables for Tests of Heterogeneity in Contingency Tables. Mathematical Tables and Other Aids to Computation. 12(64). 301–301. 2 indexed citations
3.
Woolf, Barnet. (1957). THE LOG LIKELIHOOD RATIO TEST (THE G‐TEST). Annals of Human Genetics. 21(4). 397–409. 148 indexed citations
4.
Waddington, C. H., Harry L. Graber, & Barnet Woolf. (1957). ISO-Alleles and the response to selection. Journal of Genetics. 55(2). 246–250. 11 indexed citations
5.
Woolf, Barnet. (1955). ON ESTIMATING THE RELATION BETWEEN BLOOD GROUP AND DISEASE. Annals of Human Genetics. 19(4). 251–253. 2372 indexed citations breakdown →
6.
Woolf, Barnet. (1954). Estimation of mutation rates. Journal of Genetics. 52(2). 332–353. 5 indexed citations
7.
Waddington, C. H., Barnet Woolf, & Margaret M. Perry. (1954). ENVIRONMENT SELECTION BY DROSOPHILA MUTANTS. Evolution. 8(2). 89–96. 21 indexed citations
8.
Woolf, Barnet. (1954). Statistical Aspects of Dietary Surveys. Proceedings of The Nutrition Society. 13(2). 82–94. 17 indexed citations
9.
Passmore, R., et al.. (1953). Individual variations in the metabolic cost of standardized exercises: the effects of food, age, sex and race. The Journal of Physiology. 121(2). 225–231. 67 indexed citations
10.
Woolf, Barnet. (1952). Environmental effects in quantitative inheritance.. 5 indexed citations
11.
Woolf, Barnet. (1951). Computation and Interpretation of Multiple Regressions. Journal of the Royal Statistical Society Series B (Statistical Methodology). 13(1). 100–119. 20 indexed citations

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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