Gregg E. Dinse

2.3k total citations
57 papers, 1.4k citations indexed

About

Gregg E. Dinse is a scholar working on Statistics and Probability, Health, Toxicology and Mutagenesis and Cancer Research. According to data from OpenAlex, Gregg E. Dinse has authored 57 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistics and Probability, 10 papers in Health, Toxicology and Mutagenesis and 9 papers in Cancer Research. Recurrent topics in Gregg E. Dinse's work include Statistical Methods and Bayesian Inference (16 papers), Statistical Methods and Inference (12 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Gregg E. Dinse is often cited by papers focused on Statistical Methods and Bayesian Inference (16 papers), Statistical Methods and Inference (12 papers) and Carcinogens and Genotoxicity Assessment (9 papers). Gregg E. Dinse collaborates with scholars based in United States, China and Japan. Gregg E. Dinse's co-authors include Martin G. Larson, Stephen W. Lagakos, David B. Resnik, Shyamal D. Peddada, David B. Dunson, Robert E. Chapin, Bradley J. Collins, Cynthia S. Smith, Douglas Β. Tully and Moiz Mumtaz and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Cancer.

In The Last Decade

Gregg E. Dinse

53 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gregg E. Dinse United States 21 547 201 189 176 132 57 1.4k
Helena Geys Belgium 25 944 1.7× 165 0.8× 76 0.4× 210 1.2× 240 1.8× 93 2.1k
Anup Dewanji India 15 294 0.5× 201 1.0× 132 0.7× 87 0.5× 74 0.6× 63 817
Joseph F. Heyse United States 24 451 0.8× 138 0.7× 54 0.3× 299 1.7× 62 0.5× 67 2.3k
Eiji Yamamoto Japan 17 234 0.4× 79 0.4× 188 1.0× 131 0.7× 78 0.6× 68 1.2k
Joseph S. Koopmeiners United States 28 305 0.6× 233 1.2× 90 0.5× 535 3.0× 273 2.1× 109 2.2k
E. L. Frome United States 14 179 0.3× 235 1.2× 84 0.4× 149 0.8× 43 0.3× 37 1.2k
Katja Ickstadt Germany 25 213 0.4× 218 1.1× 106 0.6× 862 4.9× 125 0.9× 116 2.0k
Amit Roy United States 27 235 0.4× 243 1.2× 266 1.4× 284 1.6× 1.2k 8.8× 112 2.8k
Lei Nie United States 22 659 1.2× 54 0.3× 48 0.3× 212 1.2× 545 4.1× 72 2.0k
Anthony Rossini United States 21 582 1.1× 42 0.2× 41 0.2× 248 1.4× 52 0.4× 42 1.8k

Countries citing papers authored by Gregg E. Dinse

Since Specialization
Citations

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

Fields of papers citing papers by Gregg E. Dinse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregg E. Dinse. 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 Gregg E. Dinse. The network helps show where Gregg E. Dinse may publish in the future.

Co-authorship network of co-authors of Gregg E. Dinse

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

All Works

20 of 20 papers shown
1.
Parham, Fred, Kristin M. Eccles, Cynthia V. Rider, et al.. (2025). Lessons learned from evaluating defined chemical mixtures in a high-throughput estrogen receptor assay system. Toxicological Sciences. 205(1). 191–204.
2.
Dinse, Gregg E., Bing Zheng, Caroll A. Co, et al.. (2023). Anti-dense fine speckled 70 (DFS70) autoantibodies: correlates and increasing prevalence in the United States. Frontiers in Immunology. 14. 1186439–1186439. 3 indexed citations
3.
Li, Wenwen, et al.. (2022). Generalized mean residual life models for survival data with missing censoring indicators. Statistics in Medicine. 42(3). 264–280.
4.
Dinse, Gregg E., Caroll A. Co, Christine G. Parks, et al.. (2022). Expanded assessment of xenobiotic associations with antinuclear antibodies in the United States, 1988–2012. Environment International. 166. 107376–107376. 5 indexed citations
5.
Meier, Helen C.S., Dale P. Sandler, Jesse Wilkerson, et al.. (2022). Hygiene Hypothesis Indicators and Prevalence of Antinuclear Antibodies in US Adolescents. Frontiers in Immunology. 13. 789379–789379. 7 indexed citations
6.
Dinse, Gregg E., Christine G. Parks, Helen C.S. Meier, et al.. (2018). Prescription medication use and antinuclear antibodies in the United States, 1999–2004. Journal of Autoimmunity. 92. 93–103. 11 indexed citations
7.
Dinse, Gregg E., Christine G. Parks, Clarice R. Weinberg, et al.. (2017). Antinuclear antibodies and mortality in the National Health and Nutrition Examination Survey (1999-2004). PLoS ONE. 12(10). e0185977–e0185977. 10 indexed citations
8.
Dinse, Gregg E. & David M. Umbach. (2012). Parameterizing Dose-Response Models to Estimate Relative Potency Functions Directly. Toxicological Sciences. 129(2). 447–455. 2 indexed citations
9.
Dinse, Gregg E. & David M. Umbach. (2011). Characterizing non-constant relative potency. Regulatory Toxicology and Pharmacology. 60(3). 342–353. 12 indexed citations
10.
Resnik, David B., et al.. (2011). Dual-Use Review Policies of Biomedical Research Journals. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science. 9(1). 49–54. 16 indexed citations
11.
Han, Yueh‐Ying, Gregg E. Dinse, David M. Umbach, Devra Lee Davis, & Joel L. Weissfeld. (2010). Age-period-cohort analysis of cancers not related to tobacco, screening, or HIV: sex and race differences. Cancer Causes & Control. 21(8). 1227–1236. 4 indexed citations
12.
Wang, Qihua & Gregg E. Dinse. (2010). Linear regression analysis of survival data with missing censoring indicators. Lifetime Data Analysis. 17(2). 256–279. 19 indexed citations
13.
Dinse, Gregg E.. (2010). An EM Algorithm for Fitting a Four-Parameter Logistic Model to Binary Dose-Response Data. Journal of Agricultural Biological and Environmental Statistics. 16(2). 221–232. 18 indexed citations
14.
Song, Xinyuan, et al.. (2010). Additive hazards regression with censoring indicators missing at random. Canadian Journal of Statistics. 38(3). 333–351. 14 indexed citations
15.
Wang, Qihua, Gregg E. Dinse, & Chunling Liu. (2010). Hazard function estimation with cause-of-death data missing at random. Annals of the Institute of Statistical Mathematics. 64(2). 415–438. 6 indexed citations
16.
Suttie, Andrew W., Gregg E. Dinse, Abraham Nyska, et al.. (2005). An Investigation of the Effects of Late-Onset Dietary Restriction on Prostate Cancer Development in the TRAMP Mouse. Toxicologic Pathology. 33(3). 386–397. 33 indexed citations
17.
Tully, Douglas Β., Bradley J. Collins, Cynthia S. Smith, et al.. (2000). Effects of Arsenic, Cadmium, Chromium, and Lead on Gene Expression Regulated by a Battery of 13 Different Promoters in Recombinant HepG2 Cells. Toxicology and Applied Pharmacology. 168(2). 79–90. 127 indexed citations
18.
Rogan, Walter J., N. Beth Ragan, & Gregg E. Dinse. (2000). X-ray evidence of increased asbestos exposure in the US population from NHANES I and NHANES II, 1973–1978. Cancer Causes & Control. 11(5). 441–449. 15 indexed citations
19.
Dinse, Gregg E.. (1988). Simple Parametric Analysis of Animal Tumorigenicity Data. Journal of the American Statistical Association. 83(403). 638–649. 16 indexed citations
20.
Larson, Martin G. & Gregg E. Dinse. (1985). A Mixture Model for the Regression Analysis of Competing Risks Data. Journal of the Royal Statistical Society Series C (Applied Statistics). 34(3). 201–201. 146 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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