J. L. Gill

3.0k total citations · 2 hit papers
40 papers, 2.7k citations indexed

About

J. L. Gill is a scholar working on Genetics, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, J. L. Gill has authored 40 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 10 papers in Management Science and Operations Research and 9 papers in Statistics and Probability. Recurrent topics in J. L. Gill's work include Genetic and phenotypic traits in livestock (17 papers), Optimal Experimental Design Methods (10 papers) and Advanced Statistical Methods and Models (5 papers). J. L. Gill is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Optimal Experimental Design Methods (10 papers) and Advanced Statistical Methods and Models (5 papers). J. L. Gill collaborates with scholars based in United States, Germany and Netherlands. J. L. Gill's co-authors include H. D. Patterson, H. D. Hafs, Olaf Mickelsen, Rachel A. Schemmel, W. T. Magee, R. Frank, L.D. McGilliard, R. J. Parker, D Morison Smith and Maurice R. Bennink and has published in prestigious journals such as American Journal of Clinical Nutrition, Biometrics and Journal of Nutrition.

In The Last Decade

J. L. Gill

39 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Design and Analysis of Experiments in the Animal and Medical Sciences.

1980 902 citations H. D. Patterson, J. L. Gill Biometrics profile →
Analysis of Repeated Measurements of Animals

1971 780 citations J. L. Gill et al. Journal of Animal Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. L. Gill United States	16	988	611	583	338	311	40	2.7k
Allen Trenkle United States	31	1.4k 1.4×	925 1.5×	828 1.4×	243 0.7×	329 1.1×	113	2.5k
William P. Flatt United States	20	1.2k 1.2×	499 0.8×	540 0.9×	157 0.5×	424 1.4×	37	2.2k
Louis Istasse Belgium	25	767 0.8×	1.1k 1.8×	620 1.1×	453 1.3×	375 1.2×	152	2.9k
Joel Bitman United States	37	1.1k 1.1×	943 1.5×	734 1.3×	312 0.9×	283 0.9×	189	4.6k
Ernest D. Olfert Canada	6	875 0.9×	848 1.4×	489 0.8×	438 1.3×	185 0.6×	9	3.0k
R.S. Emery United States	35	2.7k 2.8×	716 1.2×	1.4k 2.4×	343 1.0×	238 0.8×	107	3.7k
G. E. Moss United States	34	2.1k 2.1×	634 1.0×	1.2k 2.1×	281 0.8×	173 0.6×	95	3.4k
Erik Skadhauge United Kingdom	38	492 0.5×	1.3k 2.2×	304 0.5×	268 0.8×	289 0.9×	184	4.1k
J. A. Boling United States	28	1.3k 1.4×	623 1.0×	428 0.7×	151 0.4×	100 0.3×	139	2.6k
R. R. Hacker Canada	23	313 0.3×	851 1.4×	434 0.7×	617 1.8×	192 0.6×	78	1.9k

Countries citing papers authored by J. L. Gill

Since Specialization

Citations

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

Fields of papers citing papers by J. L. Gill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. L. Gill. 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 J. L. Gill. The network helps show where J. L. Gill may publish in the future.

Co-authorship network of co-authors of J. L. Gill

This figure shows the co-authorship network connecting the top 25 collaborators of J. L. Gill. A scholar is included among the top collaborators of J. L. Gill 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 J. L. Gill. J. L. Gill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Smith, D Morison, et al.. (1995). Cholesterol Reduction in Liquid Egg Yolk using β‐Cyclodextrin. Journal of Food Science. 60(4). 691–694. 36 indexed citations

2.

Gill, J. L.. (1991). Biases in balanced experiments with uncontrolled random factors¹. Journal of Animal Breeding and Genetics. 108(1-6). 69–79. 3 indexed citations

3.

Gill, J. L.. (1990). Uses and abuses of statistical methods in research in parasitology. Veterinary Parasitology. 36(3-4). 189–209. 14 indexed citations

4.

Gill, J. L.. (1987). Biases in Regression when Prediction is Inverse to Causation. Journal of Animal Science. 64(2). 594–600. 7 indexed citations

5.

Gill, J. L.. (1986). Outliers, residuals, and influence in multiple regression¹. Journal of Animal Breeding and Genetics. 103(1-5). 161–175. 47 indexed citations

6.

Gill, J. L., et al.. (1986). Discriminating breeding values of young bulls from their serum concentrations of hormones. Journal of Animal Breeding and Genetics. 103(1-5). 241–248. 3 indexed citations

7.

Gill, J. L.. (1981). Evolution of Statistical Design and Analysis of Experiments. Journal of Dairy Science. 64(6). 1494–1519. 33 indexed citations

8.

Patterson, H. D. & J. L. Gill. (1980). Design and Analysis of Experiments in the Animal and Medical Sciences.. Biometrics. 36(4). 741–741. 902 indexed citations breakdown →

9.

Mickelsen, Olaf, et al.. (1977). Sodium and potassium intakes and excretions of normal men consuming sodium chloride or a 1:1 mixture of sodium and potassium chlorides. American Journal of Clinical Nutrition. 30(12). 2033–2040. 60 indexed citations

10.

Gill, J. L. & W. T. Magee. (1976). Balanced Two-Period Changeover Designs for Several Treatments. Journal of Animal Science. 42(3). 775–777. 32 indexed citations

11.

Convey, E. Μ., James W. Thomas, H. A. Tucker, & J. L. Gill. (1973). Effect of Thyrotropin Releasing Hormone on Yield and Composition of Bovine Milk. Journal of Dairy Science. 56(4). 484–486. 12 indexed citations

12.

Miller, Charles C., J. L. Gill, & L.D. McGilliard. (1971). Selection, linkage, and dominance in small populations. Theoretical and Applied Genetics. 41(3). 130–135.

13.

Gill, J. L.. (1971). Analyses of Data with Heterogeneous Variance: A Review. Journal of Dairy Science. 54(3). 369–373. 6 indexed citations

14.

Baker, L. R., et al.. (1971). Prediction of Protein Efficiency Ratio of Peas from Their Albumin Content¹. Crop Science. 11(6). 813–815. 27 indexed citations

15.

Parker, R. J., L.D. McGilliard, & J. L. Gill. (1970). Genetic correlation and response to selection in simulated populations. Theoretical and Applied Genetics. 40(4). 157–162. 5 indexed citations

16.

Parker, R. J., L.D. McGilliard, & J. L. Gill. (1970). Genetic correlation and response to selection in simulated populations. Theoretical and Applied Genetics. 40(3). 106–110. 20 indexed citations

17.

Parker, R. J., L.D. McGilliard, & J. L. Gill. (1969). Genetic correlation and response to selection in simulated populations. Theoretical and Applied Genetics. 39(8). 365–370. 13 indexed citations

18.

Gill, J. L.. (1969). Sample Size for Experiments on Milk Yield. Journal of Dairy Science. 52(7). 984–989. 13 indexed citations

19.

Everett, R.W., et al.. (1967). Estimation of Genetic Trends in Simulated Data. Journal of Dairy Science. 50(4). 550–554. 6 indexed citations

20.

Gill, J. L.. (1965). Selection and Linkage in Simulated Genetic Populations. Australian Journal of Biological Sciences. 18(6). 1171–1188. 23 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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