Naitee Ting

1.3k citations
56 papers · 553 · h-index 11

Impact in

Papers in

Naitee Ting

51 papers receiving 518 citations

Peers

Naitee Ting
Comparison fields: 5 of 112
  • Statistics and Probability 260
  • Management Science and Operations Research 165
  • Statistics, Probability and Uncertainty 75
  • Computational Theory and Mathematics 60
  • Pharmacology 30
Replace Alexei Dmitrienko with:
Alexei Dmitrienko United States
Tomoyuki Sugimoto Japan
Jiewen Liu Taiwan
Mark Chang United States
Carl‐Fredrik Burman Sweden
Joakim Nyberg Sweden
Karey Kowalski United States
Willi Maurer Switzerland
R L Lalonde United States
Kelloff Gj United States
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006140
2 199061
3 201452
4 199341
5 200325
6 199520
7 201218
8 200614
9
The 24-h FEV1 time profile of olodaterol QD delivered via Respimat® in COPD: Results from two 6-week studies
201312
10 200810
11 199110
12 201410
13 19899
14 20028
15 20177
16 19917
17 20187
18 20207
19 20136
20 20166

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 56 papers that have together received 553 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (25 papers), Optimal Experimental Design Methods (14 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Computational Drug Discovery Methods (6 papers), Pharmaceutical studies and practices (5 papers), Advanced Causal Inference Techniques (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers) and Meta-analysis and systematic reviews (4 papers). The work is most often cited by research in Statistics and Probability (260 citations), Management Science and Operations Research (165 citations), Statistics, Probability and Uncertainty (75 citations), Computational Theory and Mathematics (60 citations) and Pharmacology (30 citations). Naitee Ting has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Richard K. Burdick, Franklin A. Graybill, Joseph C. Cappelleri, Gemzel Hernandez, R Abrahams, Richard ZuWallack, R. Choudary Hanumara, Qiqi Deng, Ethan S. Weiner and Jean D. Sipe. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Drug Information Journal, Statistics in Medicine, CHEST Journal and Biometrical Journal.

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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