John J. Gart

5.7k total citations
94 papers, 4.3k citations indexed

About

John J. Gart is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, John J. Gart has authored 94 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 13 papers in Management Science and Operations Research and 8 papers in Molecular Biology. Recurrent topics in John J. Gart's work include Advanced Statistical Methods and Models (22 papers), Statistical Methods in Clinical Trials (19 papers) and Statistical Methods and Bayesian Inference (18 papers). John J. Gart is often cited by papers focused on Advanced Statistical Methods and Models (22 papers), Statistical Methods in Clinical Trials (19 papers) and Statistical Methods and Bayesian Inference (18 papers). John J. Gart collaborates with scholars based in United States, Malaysia and United Kingdom. John J. Gart's co-authors include Donald G. Thomas, Alfred A. Buck, Robert E. Tarone, Jun‐mo Nam, James R. Zweifel, Gunnar Kvåle, E Bjelke, Kenneth C. Chu, Norman E. Breslow and M L Slater and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of the American Statistical Association.

In The Last Decade

John J. Gart

89 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John J. Gart United States	34	1.3k	595	594	331	329	94	4.3k
Jerome Cornfield United States	32	1.5k 1.1×	210 0.4×	288 0.5×	345 1.0×	158 0.5×	93	5.0k
David G. Hoel United States	35	629 0.5×	1.3k 2.2×	569 1.0×	263 0.8×	1.3k 3.8×	183	4.9k
Irwin D. J. Bross United States	34	595 0.5×	411 0.7×	335 0.6×	134 0.4×	128 0.4×	176	4.1k
Ralph L. Kodell United States	31	746 0.6×	884 1.5×	1.7k 2.9×	379 1.1×	664 2.0×	171	4.5k
James J. Chen United States	36	724 0.6×	468 0.8×	1.4k 2.4×	363 1.1×	262 0.8×	164	3.9k
D. J. Finney United Kingdom	29	749 0.6×	129 0.2×	1.2k 2.0×	394 1.2×	446 1.4×	165	6.5k
Carlos Alberto de Bragança Pereira Brazil	41	514 0.4×	583 1.0×	1.2k 2.0×	129 0.4×	302 0.9×	335	6.4k
Lloyd D. Fisher United States	35	1.5k 1.1×	221 0.4×	406 0.7×	757 2.3×	70 0.2×	93	8.0k
A. Lawrence Gould United States	35	1.2k 0.9×	170 0.3×	399 0.7×	370 1.1×	73 0.2×	99	5.1k
Michael A. Martin Australia	29	963 0.7×	132 0.2×	582 1.0×	281 0.8×	157 0.5×	101	3.9k

Countries citing papers authored by John J. Gart

Since Specialization

Citations

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

Fields of papers citing papers by John J. Gart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John J. Gart

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Gart. A scholar is included among the top collaborators of John J. Gart 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 John J. Gart. John J. Gart 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

Pottern, Linda M., John J. Gart, Georgia M. Dunston, et al.. (1993). HLA and multiple myeloma among black and white men: evidence of a genetic association.. PubMed. 1(3). 177–82. 35 indexed citations

Thomas, Donald G. & John J. Gart. (1992). Improved and extended exact and asymptotic methods for the combination of 2 × 2 tables. Computers and Biomedical Research. 25(1). 75–84. 28 indexed citations

Fabsitz, Richard R., et al.. (1989). HLA Associations with Obesity. Human Heredity. 39(3). 156–164. 7 indexed citations

Tarone, Robert E. & John J. Gart. (1989). Significance Tests for Cancer Screening Trials. Biometrics. 45(3). 883–883. 7 indexed citations

Gart, John J. & Jun‐mo Nam. (1988). Approximate Interval Estimation of the Ratio of Binomial Parameters: A Review and Corrections for Skewness. Biometrics. 44(2). 323–323. 133 indexed citations

Gart, John J.. (1986). The design and analysis of long-term animal experiments. 33 indexed citations

Nam, Jun‐mo & John J. Gart. (1985). The ML Estimation and Testing of Generalized ABO-Like Data with no Observed Double Recessives. Biometrics. 41(2). 455–455. 8 indexed citations

Thomas, Donald G. & John J. Gart. (1983). Stratified trend and homogeneity analyses of proportions and life table data. Computers and Biomedical Research. 16(2). 116–126. 21 indexed citations

Tarone, Robert E., John J. Gart, & Walter W. Hauck. (1983). On the asymptotic inefficiency of certain noniterative estimators of a common relative risk or odds ratio. Biometrika. 70(2). 519–522. 27 indexed citations

10.

Gart, John J.. (1979). Statistical analyses of the relative risk.. Environmental Health Perspectives. 32. 157–167. 13 indexed citations

11.

Gart, John J.. (1979). Statistical Analyses of the Relative Risk. Environmental Health Perspectives. 32. 157–157. 2 indexed citations

12.

Slater, M L, Susan O. Sharrow, & John J. Gart. (1977). Cell cycle of Saccharomycescerevisiae in populations growing at different rates.. Proceedings of the National Academy of Sciences. 74(9). 3850–3854. 178 indexed citations

13.

Thomas, Donald G. & John J. Gart. (1977). A Table of Exact Confidence Limits for Differences and Ratios of Two Proportions and Their Odds Ratios. Journal of the American Statistical Association. 72(357). 73–76. 96 indexed citations

14.

Robbins, J.H., John J. Gart, William R. Levis, & Peter Burk. (1972). The millipore filter assay technique for measuring tritiated thymidine incorporation into DNA in leucocyte cultures.. PubMed. 11(4). 629–40. 33 indexed citations

15.

Gart, John J.. (1972). Interaction tests for 2 ×s×t contingency tables. Biometrika. 59(2). 309–316. 6 indexed citations

16.

Thomas, Donald G. & John J. Gart. (1971). Small Sample Performance of Some Estimators of the Truncated Binomial Distribution. Journal of the American Statistical Association. 66(333). 169–169. 4 indexed citations

17.

Gart, John J.. (1970). Point and interval estimation of the common odds ratio in the combination of 2 × 2 tables with fixed marginals. Biometrika. 57(3). 471–475. 241 indexed citations

18.

Gart, John J.. (1970). A Locally Most Powerful Test for the Symmetric Folded Binomial Distribution. Biometrics. 26(1). 129–129. 9 indexed citations

19.

Gart, John J.. (1970). Point and Interval Estimation of the Common Odds Ratio in the Combination of 2 × 2 Tables with Fixed Marginals. Biometrika. 57(3). 471–471. 12 indexed citations

20.

Gart, John J.. (1968). The Mathematical Analysis of an Epidemic with Two Kinds of Susceptibles. Biometrics. 24(3). 557–557. 33 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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