Naitee Ting

1.3k total citations
56 papers, 553 citations indexed

About

Naitee Ting is a scholar working on Statistics and Probability, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Naitee Ting has authored 56 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 17 papers in Management Science and Operations Research and 12 papers in Economics and Econometrics. Recurrent topics in Naitee Ting's work include Statistical Methods in Clinical Trials (25 papers), Optimal Experimental Design Methods (14 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Naitee Ting is often cited by papers focused on Statistical Methods in Clinical Trials (25 papers), Optimal Experimental Design Methods (14 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Naitee Ting collaborates with scholars based in United States, China and Germany. Naitee Ting's co-authors include Richard K. Burdick, Franklin A. Graybill, Joseph C. Cappelleri, Gemzel Hernandez, R Abrahams, Richard ZuWallack, R. Choudary Hanumara, Qiqi Deng, William Shanahan and Ding‐Geng Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Technometrics.

In The Last Decade

Naitee Ting

51 papers receiving 518 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naitee Ting United States 11 260 165 76 75 75 56 553
Alexei Dmitrienko United States 9 294 1.1× 174 1.1× 184 2.4× 35 0.5× 51 0.7× 25 852
Joakim Nyberg Sweden 13 191 0.7× 85 0.5× 29 0.4× 43 0.6× 19 0.3× 45 570
Mark Chang United States 12 441 1.7× 179 1.1× 24 0.3× 22 0.3× 109 1.5× 48 712
Carl‐Fredrik Burman Sweden 14 366 1.4× 143 0.9× 38 0.5× 16 0.2× 56 0.7× 34 584
Tomoyuki Sugimoto Japan 17 199 0.8× 95 0.6× 128 1.7× 54 0.7× 22 0.3× 51 920
Jiewen Liu Taiwan 3 218 0.8× 118 0.7× 15 0.2× 16 0.2× 42 0.6× 4 460
Karey Kowalski United States 8 190 0.7× 47 0.3× 41 0.5× 14 0.2× 20 0.3× 17 526
R L Lalonde United States 8 226 0.9× 26 0.2× 83 1.1× 34 0.5× 23 0.3× 10 668
Qiqi Deng United States 9 138 0.5× 43 0.3× 109 1.4× 46 0.6× 114 1.5× 30 379
Willi Maurer Switzerland 19 1.1k 4.1× 653 4.0× 52 0.7× 37 0.5× 175 2.3× 41 1.4k

Countries citing papers authored by Naitee Ting

Since Specialization
Citations

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

Fields of papers citing papers by Naitee Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naitee Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Naitee Ting. A scholar is included among the top collaborators of Naitee Ting 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 Naitee Ting. Naitee Ting 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.
Tian, Hong, et al.. (2023). Clinical Trial Design—What is the Critical Question for Decision-Making?. Statistics in Biosciences. 15(2). 475–489. 1 indexed citations
2.
Deng, Qiqi, et al.. (2022). Consistency Based Multiplicity Adjustment Approach—Multiple Doses in Phase III Studies. Statistics in Biopharmaceutical Research. 15(4). 748–754.
3.
Ye, Jingjing, Youwei Bi, & Naitee Ting. (2022). How to select the initial dose for a pediatric study?. Journal of Biopharmaceutical Statistics. 33(6). 844–858. 1 indexed citations
4.
Deng, Qiqi, et al.. (2021). Proof of Concept: Drug Selection? Or Dose Selection? Thoughts on Multiplicity Issues. Therapeutic Innovation & Regulatory Science. 55(5). 1001–1005. 4 indexed citations
5.
Huang, Bo & Naitee Ting. (2020). Introduction to Special Issue on ‘Statistical Methods for Cancer Immunotherapy’. Statistics in Biosciences. 12(2). 79–82. 1 indexed citations
6.
Ting, Naitee, et al.. (2019). Sample Size Considerations for a Phase III Clinical Trial with Diluted Treatment Effect. Statistics in Biopharmaceutical Research. 12(3). 311–321. 4 indexed citations
7.
Ting, Naitee, et al.. (2018). Bayesian sample size determination for a Phase III clinical trial with diluted treatment effect. Journal of Biopharmaceutical Statistics. 28(6). 1119–1142. 5 indexed citations
8.
Mannino, David M., et al.. (2018). Exacerbation recovery patterns in newly diagnosed or maintenance treatment-naïve patients with COPD: secondary analyses of TICARI 1 trial data. International Journal of COPD. Volume 13. 1515–1525. 2 indexed citations
9.
Ting, Naitee. (2017). Statistical Interactions in a Clinical Trial. Therapeutic Innovation & Regulatory Science. 52(1). 14–21. 5 indexed citations
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Chen, Joshua, Hao Zheng, Hui Quan, et al.. (2013). Graphical assessment of consistency in treatment effect among countries in multi-regional clinical trials. Clinical Trials. 10(6). 842–851. 6 indexed citations
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Borregaard, Jeanett, Lone Skov, Lisy Wang, et al.. (2008). Evaluation of the effect of the specific CCR1 antagonist CP‐481715 on the clinical and cellular responses observed following epicutaneous nickel challenge in human subjects. Contact Dermatitis. 59(4). 212–219. 10 indexed citations
18.
Quiroz, Jorge, Naitee Ting, Greg C. G. Wei, & Richard K. Burdick. (2002). Alternative confidence intervals for the assessment of bioequivalence in four‐period cross‐over designs. Statistics in Medicine. 21(13). 1825–1847. 4 indexed citations
19.
Ting, Naitee, et al.. (1990). Confidence intervals on linear combinations of variance components that are unrestricted in sign. Journal of Statistical Computation and Simulation. 35(3-4). 135–143. 61 indexed citations
20.
Burdick, Richard K., et al.. (1990). Confidence Intervals and Bounds for a Ratio of Summed Expected Mean Squares. Technometrics. 32(4). 437–444.

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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