Tien-Tuan Dao

713 total citations · 1 hit paper
6 papers, 509 citations indexed

About

Tien-Tuan Dao is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Tien-Tuan Dao has authored 6 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Physiology. Recurrent topics in Tien-Tuan Dao's work include Pain Mechanisms and Treatments (2 papers), Pregnancy-related medical research (2 papers) and Trigeminal Neuralgia and Treatments (1 paper). Tien-Tuan Dao is often cited by papers focused on Pain Mechanisms and Treatments (2 papers), Pregnancy-related medical research (2 papers) and Trigeminal Neuralgia and Treatments (1 paper). Tien-Tuan Dao collaborates with scholars based in France and Canada. Tien-Tuan Dao's co-authors include A C Mellor, Aline Boulanger, Hance Clarke, Mark A. Ware, Sessle Bj, A. Gordon, G. Allen Finley, AJ Clark, DE Moulin and Paul Taenzer and has published in prestigious journals such as Journal of Prosthetic Dentistry, Medical & Biological Engineering & Computing and Pain Research and Management.

In The Last Decade

Tien-Tuan Dao

5 papers receiving 488 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.

Pharmacological Management of Chronic Neuropathic Pain: Revised Consensus Statement from the Canadian Pain Society

2014 369 citations DE Moulin, Aline Boulanger et al. Pain Research and Management profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tien-Tuan Dao France	4	277	155	128	81	55	6	509
Suneil Jolly United States	7	198 0.7×	114 0.7×	81 0.6×	118 1.5×	17 0.3×	7	386
Sessle Bj Canada	5	300 1.1×	145 0.9×	149 1.2×	81 1.0×	11 0.2×	7	498
Lori Reisner United States	9	335 1.2×	161 1.0×	112 0.9×	232 2.9×	17 0.3×	19	613
Karin Huizar Sweden	13	163 0.6×	162 1.0×	45 0.4×	122 1.5×	36 0.7×	16	724
Athina Vadalouca Greece	14	317 1.1×	126 0.8×	131 1.0×	147 1.8×	4 0.1×	25	526
Anders D. Kristensen Denmark	10	404 1.5×	168 1.1×	126 1.0×	160 2.0×	8 0.1×	12	713
Nicholas Phillips United States	8	126 0.5×	40 0.3×	82 0.6×	77 1.0×	8 0.1×	14	392
Rivka Adler Israel	10	161 0.6×	96 0.6×	34 0.3×	95 1.2×	5 0.1×	10	361
Maren Reimer Germany	13	262 0.9×	151 1.0×	117 0.9×	80 1.0×	4 0.1×	17	396
Cibele Nasri‐Heir United States	13	287 1.0×	37 0.2×	108 0.8×	18 0.2×	39 0.7×	26	420

Countries citing papers authored by Tien-Tuan Dao

Since Specialization

Citations

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

Fields of papers citing papers by Tien-Tuan Dao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tien-Tuan Dao. 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 Tien-Tuan Dao. The network helps show where Tien-Tuan Dao may publish in the future.

Co-authorship network of co-authors of Tien-Tuan Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Tien-Tuan Dao. A scholar is included among the top collaborators of Tien-Tuan Dao 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 Tien-Tuan Dao. Tien-Tuan Dao 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:

6 of 6 papers shown

1.

Colliat, Jean‐Baptiste, et al.. (2024). Fetus descent simulation with the active uterine contraction during the vaginal delivery: MRI-based evaluation and uncertainty quantification. Computer Methods in Biomechanics & Biomedical Engineering. 29(2). 343–358.

2.

Lecomte‐Grosbras, Pauline, et al.. (2024). On the uncertainty quantification of the active uterine contraction during the second stage of labor simulation. Medical & Biological Engineering & Computing. 62(7). 2145–2164. 2 indexed citations

3.

Lecomte‐Grosbras, Pauline, et al.. (2023). ON THE UNCERTAINTY QUANTIFICATION OF HYPERELASTIC PROPERTIES USING PRECISE AND IMPRECISE PROBABILITIES TOWARD RELIABLE IN SILICO SIMULATION OF THE SECOND-STAGE LABOR. Journal of Mechanics in Medicine and Biology. 24(5). 3 indexed citations

4.

Moulin, DE, Aline Boulanger, AJ Clark, et al.. (2014). Pharmacological Management of Chronic Neuropathic Pain: Revised Consensus Statement from the Canadian Pain Society. Pain Research and Management. 19(6). 328–335. 369 indexed citations breakdown →

5.

Dao, Tien-Tuan & A C Mellor. (1999). Sensory disturbances associated with implant surgery.. PubMed. 11(5). 462–9. 50 indexed citations

6.

Dao, Tien-Tuan, et al.. (1998). Modulation of myofascial pain by the reproductive hormones: A preliminary report. Journal of Prosthetic Dentistry. 79(6). 663–670. 85 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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