Youdan Wang

522 total citations
8 papers, 388 citations indexed

About

Youdan Wang is a scholar working on Statistics, Probability and Uncertainty, Public Health, Environmental and Occupational Health and Economics and Econometrics. According to data from OpenAlex, Youdan Wang has authored 8 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Statistics, Probability and Uncertainty, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Economics and Econometrics. Recurrent topics in Youdan Wang's work include Meta-analysis and systematic reviews (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Opioid Use Disorder Treatment (2 papers). Youdan Wang is often cited by papers focused on Meta-analysis and systematic reviews (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Opioid Use Disorder Treatment (2 papers). Youdan Wang collaborates with scholars based in United States and Australia. Youdan Wang's co-authors include Pratixa P. Joshi, David W. Schmidtke, Stephen A. Merchant, K. L. Hobbs, Matthew B. Johnson, Christopher H. Schmid, Ida Sim, Deborah Ward, Naihua Duan and Richard L. Kravitz and has published in prestigious journals such as Analytical Chemistry, Langmuir and Biometrics.

In The Last Decade

Youdan Wang

7 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Youdan Wang United States	6	252	156	109	101	72	8	388
Rujia Liu China	10	65 0.3×	92 0.6×	17 0.2×	73 0.7×	28 0.4×	35	328
Ge Gao China	15	311 1.2×	45 0.3×	262 2.4×	186 1.8×	112 1.6×	31	605
Gülsen Baytemir Türkiye	12	174 0.7×	36 0.2×	66 0.6×	52 0.5×	32 0.4×	29	325
Xianjian Chen China	3	377 1.5×	190 1.2×	164 1.5×	125 1.2×	103 1.4×	4	430
Monique Sigaud France	14	250 1.0×	142 0.9×	70 0.6×	193 1.9×	162 2.3×	27	526
Anjan Panneer Selvam United States	13	212 0.8×	71 0.5×	44 0.4×	192 1.9×	151 2.1×	20	531
Nitesh Malhotra India	12	180 0.7×	76 0.5×	35 0.3×	248 2.5×	42 0.6×	35	541
Azam Gholizadeh United States	10	179 0.7×	86 0.6×	43 0.4×	64 0.6×	57 0.8×	17	323
Ana P. M. Tavares Portugal	13	177 0.7×	99 0.6×	36 0.3×	224 2.2×	56 0.8×	26	509
Jan Suls Belgium	9	249 1.0×	146 0.9×	51 0.5×	138 1.4×	219 3.0×	12	493

Countries citing papers authored by Youdan Wang

Since Specialization

Citations

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

Fields of papers citing papers by Youdan Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youdan Wang

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

8 of 8 papers shown

Kravitz, Richard L., Ida Sim, Deborah Ward, et al.. (2021). Chronic pain treatment preferences change following participation in N-of-1 trials, but not always in the expected direction. Journal of Clinical Epidemiology. 139. 167–176. 2 indexed citations

Ward, Deborah, Christopher H. Schmid, Ida Sim, et al.. (2019). Effect of Mobile Device-Assisted N-of-1 Trial Participation on Analgesic Prescribing for Chronic Pain: Randomized Controlled Trial. Journal of General Internal Medicine. 35(1). 102–111. 10 indexed citations

Kravitz, Richard L., Christopher H. Schmid, Barth Wilsey, et al.. (2018). Effect of Mobile Device–Supported Single-Patient Multi-crossover Trials on Treatment of Chronic Musculoskeletal Pain. JAMA Internal Medicine. 178(10). 1368–1368. 51 indexed citations

Salminen, Lauren E., Peter R. Schofield, Kerrie D. Pierce, et al.. (2015). Neuromarkers of the common angiotensinogen polymorphism in healthy older adults: A comprehensive assessment of white matter integrity and cognition. Behavioural Brain Research. 296. 85–93. 10 indexed citations

Kim, Eun‐Hee, Zheng Zhang, Youdan Wang, & Donglin Zeng. (2014). Power calculation for comparing diagnostic accuracies in a multi‐reader, multi‐test design. Biometrics. 70(4). 1033–1041.

Zhang, Zheng, Youdan Wang, & Fenghai Duan. (2014). An AUC-Like Index for Agreement Assessment. Journal of Biopharmaceutical Statistics. 24(4). 893–907. 5 indexed citations

Wang, Youdan, Pratixa P. Joshi, K. L. Hobbs, Matthew B. Johnson, & David W. Schmidtke. (2006). Nanostructured Biosensors Built by Layer-by-Layer Electrostatic Assembly of Enzyme-Coated Single-Walled Carbon Nanotubes and Redox Polymers. Langmuir. 22(23). 9776–9783. 101 indexed citations

Joshi, Pratixa P., Stephen A. Merchant, Youdan Wang, & David W. Schmidtke. (2005). Amperometric Biosensors Based on Redox Polymer−Carbon Nanotube−Enzyme Composites. Analytical Chemistry. 77(10). 3183–3188. 209 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.

Explore authors with similar magnitude of impact