Gail Gong

6.2k total citations · 2 hit papers
28 papers, 4.8k citations indexed

About

Gail Gong is a scholar working on Genetics, Statistics and Probability and Oncology. According to data from OpenAlex, Gail Gong has authored 28 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 9 papers in Statistics and Probability and 5 papers in Oncology. Recurrent topics in Gail Gong's work include BRCA gene mutations in cancer (11 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (5 papers). Gail Gong is often cited by papers focused on BRCA gene mutations in cancer (11 papers), Statistical Methods and Inference (7 papers) and Statistical Methods and Bayesian Inference (5 papers). Gail Gong collaborates with scholars based in United States, Canada and Germany. Gail Gong's co-authors include Bradley Efron, Alice S. Whittemore, Francisco J. Samaniego, Jacqueline Itnyre, Dee W. West, Anna Felberg, Esther M. John, Frederick P. Li, Alexander Miron and Amanda I. Phipps and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Journal of the American Statistical Association.

In The Last Decade

Gail Gong

28 papers receiving 4.5k 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.

A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation

1983 2.4k citations Bradley Efron, Gail Gong The American Statistician profile →
A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation

1983 924 citations Bradley Efron, Gail Gong The American Statistician profile →

Peers

Gail Gong

GENET

SP

MB

GPC

AI

Morton B. Brown United States

Arnoldo Frigessi Norway

D. Collett United Kingdom

Myles Hollander United States

R Holder United Kingdom

G. M. Clarke Australia

Jie Chen China

James D. Malley United States

Yvonne Bishop United States

Thomas M. Loughin United States

Morton B. Brown United States

Gail Gong

762 ×0.9

GENET

963 ×1.3

SP

958 ×1.7

MB

303 ×0.7

GPC

302 ×0.8

AI

Citations per year, relative to Gail Gong Gail Gong (= 1×) peers Morton B. Brown

Countries citing papers authored by Gail Gong

Since Specialization

Citations

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

Fields of papers citing papers by Gail Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gail Gong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Gong, Gail, Wei Wang, Chih‐Lin Hsieh, et al.. (2019). Data-adaptive multi-locus association testing in subjects with arbitrary genealogical relationships. Statistical Applications in Genetics and Molecular Biology. 18(3). 1 indexed citations

2.

Gong, Gail, et al.. (2010). Estimating gene penetrance from family data. Genetic Epidemiology. 34(4). 373–381. 16 indexed citations

3.

John, Esther M., Alexander Miron, Gail Gong, et al.. (2007). Prevalence of Pathogenic BRCA1 Mutation Carriers in 5 US Racial/Ethnic Groups. JAMA. 298(24). 2869–2869. 250 indexed citations

4.

Kurian, Allison W., Nicolette M. Chun, Meredith Mills, et al.. (2007). BRCA1/2 mutations and cancer risk in Asian-Americans. Journal of Clinical Oncology. 25(18_suppl). 10512–10512. 1 indexed citations

5.

Whittemore, Alice S., Gail Gong, Esther M. John, et al.. (2004). Prevalence of BRCA1 Mutation Carriers among U.S. Non-Hispanic Whites. Cancer Epidemiology Biomarkers & Prevention. 13(12). 2078–2083. 87 indexed citations

6.

Gong, Gail & Alice S. Whittemore. (2003). Optimal designs for estimating penetrance of rare mutations of a disease‐susceptibility gene. Genetic Epidemiology. 24(3). 173–180. 13 indexed citations

7.

Gong, Gail, Ingrid Oakley‐Girvan, Anna H. Wu, et al.. (2002). Segregation analysis of prostate cancer in 1719 white, African-American and Asian-American families in the United States and Canada. Cancer Causes & Control. 13(5). 471–482. 35 indexed citations

8.

Gong, Gail & Alice S. Whittemore. (1999). Estimating genetic influence on disease from population-based case-control data: application to cancers of the breast and ovary. Statistics in Medicine. 18(23). 3321–3336. 3 indexed citations

9.

Whittemore, Alice S., Jerry Halpern, & Gail Gong. (1998). Testing Covariance Structure in Multivariate Models: Application to Family Disease Data. Journal of the American Statistical Association. 93(442). 518–525. 4 indexed citations

10.

Gong, Gail, Alice S. Whittemore, Dee W. West, & Dan H. Moore. (1992). Cutaneous melanoma at Lawrence Livermore National Laboratory: comparison with rates in two San Francisco Bay Area counties. Cancer Causes & Control. 3(3). 191–197. 6 indexed citations

11.

Whittemore, Alice S. & Gail Gong. (1991). Poisson Regression with Misclassified Counts: Application to Cervical Cancer Mortality Rates. Journal of the Royal Statistical Society Series C (Applied Statistics). 40(1). 81–81. 45 indexed citations

12.

Gong, Gail, Alice S. Whittemore, & Stella Grosser. (1990). Censored Survival Data with Misclassified Covariates: A Case Study of Breast-Cancer Mortality. Journal of the American Statistical Association. 85(409). 20–28. 15 indexed citations

13.

Gong, Gail, Alice S. Whittemore, & Stella Grosser. (1990). Censored Survival Data with Misclassified Covariates: A Case Study of Breast-Cancer Mortality. Journal of the American Statistical Association. 85(409). 20–20. 1 indexed citations

14.

Gong, Gail. (1986). Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression. Journal of the American Statistical Association. 81(393). 108–108. 34 indexed citations

15.

Gong, Gail. (1986). Cross-Validation, the Jackknife, and the Bootstrap: Excess Error Estimation in Forward Logistic Regression. Journal of the American Statistical Association. 81(393). 108–113. 186 indexed citations

16.

Fienberg, Stephen E. & Gail Gong. (1984). Comment. Journal of the American Statistical Association. 79(385). 72–77. 7 indexed citations

17.

Swerdlow, Charles D., Gail Gong, Debra S. Echt, et al.. (1983). Clinical factors predicting successful electrophysiologic-pharmacologic study in patients with ventricular tachycardia. Journal of the American College of Cardiology. 1(2). 409–416. 72 indexed citations

18.

Efron, Bradley & Gail Gong. (1983). A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation. The American Statistician. 37(1). 36–48. 2390 indexed citations breakdown →

19.

Efron, Bradley & Gail Gong. (1983). A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation. The American Statistician. 37(1). 36–36. 924 indexed citations breakdown →

20.

Gong, Gail & Francisco J. Samaniego. (1981). Pseudo Maximum Likelihood Estimation: Theory and Applications. The Annals of Statistics. 9(4). 291 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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