Naitee Ting

1.3k citations
57 papers · 562 · h-index 11

Impact in

Papers in

Naitee Ting

51 papers receiving 527 citations

Peers

Naitee Ting
Comparison fields: 5 of 107
  • Statistics and Probability 254
  • Management Science and Operations Research 161
  • Statistics, Probability and Uncertainty 76
  • Computational Theory and Mathematics 60
  • Pharmacology 27
Replace Alexei Dmitrienko with:
Alexei Dmitrienko United States
Mark Chang United States
Satrajit Roychoudhury United States
Joakim Nyberg Sweden
Tomoyuki Sugimoto Japan
Mario Ouwens United Kingdom
Carl‐Fredrik Burman Sweden
Kelloff Gj United States
Inna Perevozskaya United States
Sandrine Micallef France
Naitee Ting relative to Alexei Dmitrienko United States Alexei Dmitrienko's profile →
Citations per field
00.5×2.9×
Alexei Dmitrienko · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Naitee Ting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Naitee Ting Line = papers co-authored together Naitee Ting links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006140
2 199061
3 201452
4 199342
5 200326
6 199521
7 201218
8 200615
9
The 24-h FEV1 time profile of olodaterol QD delivered via Respimat® in COPD: Results from two 6-week studies
201312
10 201410
11 200810
12 199110
13 19899
14 20028
15 20187
16 19917
17 20167
18 20207
19 20177
20 20186

About Naitee Ting

Naitee Ting is a scholar working on Statistics and Probability, Management Science and Operations Research, Economics and Econometrics, Statistics, Probability and Uncertainty and Computational Theory and Mathematics, having authored 57 papers that have together received 562 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (24 papers), Optimal Experimental Design Methods (14 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Pharmaceutical studies and practices (5 papers), Advanced Causal Inference Techniques (5 papers), Computational Drug Discovery Methods (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Statistics and Probability (254 citations), Management Science and Operations Research (161 citations), Statistics, Probability and Uncertainty (76 citations), Computational Theory and Mathematics (60 citations) and Pharmacology (27 citations). Naitee Ting has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Richard K. Burdick, Franklin A. Graybill, Joseph C. Cappelleri, Gemzel Hernandez, R Abrahams, Richard ZuWallack, R. Choudary Hanumara, Qiqi Deng, Leland D. Loose and Jean D. Sipe. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Drug Information Journal, Statistics in Medicine, CHEST Journal and Statistics in Biopharmaceutical Research.

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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