You‐Shan Feng

4.8k total citations · 4 hit papers
39 papers, 3.1k citations indexed

About

You‐Shan Feng is a scholar working on Economics and Econometrics, Surgery and General Health Professions. According to data from OpenAlex, You‐Shan Feng has authored 39 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 7 papers in Surgery and 6 papers in General Health Professions. Recurrent topics in You‐Shan Feng's work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Musculoskeletal pain and rehabilitation (4 papers) and Delphi Technique in Research (4 papers). You‐Shan Feng is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (11 papers), Musculoskeletal pain and rehabilitation (4 papers) and Delphi Technique in Research (4 papers). You‐Shan Feng collaborates with scholars based in Germany, United States and Netherlands. You‐Shan Feng's co-authors include Thomas Kohlmann, Mathieu F. Janssen, Ines Buchholz, A. Simon Pickard, Jan J.V. Busschbach, Andrew Lloyd, Ben van Hout, L Scalone, Paul Kind and Dominik Golicki and has published in prestigious journals such as PLoS ONE, Plastic & Reconstructive Surgery and Thrombosis and Haemostasis.

In The Last Decade

You‐Shan Feng

35 papers receiving 3.0k citations

Hit Papers

Interim Scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to... 2012 2026 2016 2021 2012 2014 2020 2018 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
You‐Shan Feng Germany 14 869 507 494 383 342 39 3.1k
James E. Graham United States 31 440 0.5× 247 0.5× 610 1.2× 388 1.0× 710 2.1× 113 3.3k
Arthur S. Zbrozek United States 16 499 0.6× 254 0.5× 592 1.2× 322 0.8× 468 1.4× 27 3.3k
S. P. McKenna United Kingdom 19 628 0.7× 259 0.5× 629 1.3× 716 1.9× 523 1.5× 29 4.1k
L Scalone Italy 23 1.7k 1.9× 210 0.4× 868 1.8× 556 1.5× 461 1.3× 84 5.1k
Dominik Golicki Poland 27 1.7k 1.9× 177 0.3× 921 1.9× 708 1.8× 415 1.2× 93 4.4k
Alison Carr United Kingdom 26 366 0.4× 265 0.5× 538 1.1× 693 1.8× 399 1.2× 47 3.6k
David Meads United Kingdom 32 685 0.8× 184 0.4× 765 1.5× 222 0.6× 265 0.8× 151 3.7k
Rosalind Rabin United Kingdom 5 1.2k 1.4× 309 0.6× 890 1.8× 899 2.3× 520 1.5× 5 4.8k
Inge Kirchberger Germany 30 334 0.4× 497 1.0× 516 1.0× 532 1.4× 920 2.7× 138 3.9k

Countries citing papers authored by You‐Shan Feng

Since Specialization
Citations

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

Fields of papers citing papers by You‐Shan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by You‐Shan Feng. 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 You‐Shan Feng. The network helps show where You‐Shan Feng may publish in the future.

Co-authorship network of co-authors of You‐Shan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of You‐Shan Feng. A scholar is included among the top collaborators of You‐Shan Feng 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 You‐Shan Feng. You‐Shan Feng 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
2.
Hellmich, Bernhard, et al.. (2024). Prospective study of complications and sequelae of glucocorticoid therapy in ANCA-associated vasculitis. RMD Open. 10(1). e003956–e003956. 5 indexed citations
3.
Herrmann, Judith, You‐Shan Feng, Sebastian Gassenmaier, et al.. (2024). Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla. European Journal of Radiology Open. 12. 100557–100557. 3 indexed citations
4.
Feng, You‐Shan, Thomas Kohlmann, Tessa Peasgood, et al.. (2024). Scoring the EQ-HWB-S: can we do it without value sets? A non-parametric item response theory analysis. Quality of Life Research. 33(5). 1211–1222. 3 indexed citations
5.
Feng, You‐Shan, et al.. (2024). Occupational health literacy and work ability: a moderation analysis including interpersonal and organizational factors in healthy organizations. Frontiers in Public Health. 12. 1243138–1243138. 9 indexed citations
6.
Grözinger, Gerd, Tobias Hepp, You‐Shan Feng, et al.. (2023). Quantification of Facial Fat Compartment Variations: A Three-Dimensional Morphometric Analysis of the Cheek. Plastic & Reconstructive Surgery. 152(4). 617e–627e. 1 indexed citations
7.
Feng, You‐Shan, Peter Martus, Gorden Sudeck, et al.. (2023). Betriebliches Gesundheitsmanagement (BGM) vital: Entwicklung und Evaluation einer adressatenorientierten und diversitätssensiblen BGM-Servicestelle. Prävention und Gesundheitsförderung. 19(3). 402–408.
8.
Feng, You‐Shan, et al.. (2023). Predicting complicated appendicitis is possible without the use of sectional imaging—presenting the NoCtApp score. International Journal of Colorectal Disease. 38(1). 218–218. 2 indexed citations
10.
Grözinger, Gerd, Adrien Daigeler, Cristina Jorge, et al.. (2022). Quantification of Breast Volume According to age and BMI: A Three-Dimensional MRI Analysis of 400 Women. Aesthetic Plastic Surgery. 47(5). 1713–1724. 4 indexed citations
11.
Serna-­Higuita, Lina María, Fatima Al Sayah, Ines Buchholz, et al.. (2021). What difference does multiple imputation make in longitudinal modeling of EQ-5D-5L data? Empirical analyses of simulated and observed missing data patterns. Quality of Life Research. 31(5). 1521–1532. 13 indexed citations
12.
Frauenfeld, Leonie, Dominik Nann, Zita Sulyok, You‐Shan Feng, & Mihály Sulyok. (2020). Forecasting tuberculosis using diabetes-related google trends data. Pathogens and Global Health. 114(5). 236–241. 9 indexed citations
13.
Feng, You‐Shan, Thomas Kohlmann, Mathieu F. Janssen, & Ines Buchholz. (2020). Psychometric properties of the EQ-5D-5L: a systematic review of the literature. Quality of Life Research. 30(3). 647–673. 440 indexed citations breakdown →
14.
Feng, You‐Shan, Ruixuan Jiang, Thomas Kohlmann, & A. Simon Pickard. (2019). Exploring the Internal Structure of the EQ-5D Using Non–Preference-Based Methods. Value in Health. 22(5). 527–536. 17 indexed citations
15.
Buchholz, Ines, Mathieu F. Janssen, Thomas Kohlmann, & You‐Shan Feng. (2018). A Systematic Review of Studies Comparing the Measurement Properties of the Three-Level and Five-Level Versions of the EQ-5D. PharmacoEconomics. 36(6). 645–661. 224 indexed citations breakdown →
17.
Kohlmann, Thomas, et al.. (2012). Welcher Weg führt von chronischen Rückenschmerzen zur Depressivität?: Eine Pfadanalyse zu direkten und indirekten Effekten unter Berücksichtigung kognitiver Mediatoren des Katastrophisierens und der Hilf-/Hoffnungslosigkeit in einer Allgemeinbevölkerungsstichprobe. Der Schmerz. 26(6). 685–691. 3 indexed citations
18.
Hout, Ben van, Mathieu F. Janssen, You‐Shan Feng, et al.. (2012). Interim Scoring for the EQ-5D-5L: Mapping the EQ-5D-5L to EQ-5D-3L Value Sets. Value in Health. 15(5). 708–715. 1415 indexed citations breakdown →
19.
Hasenbring, Monika, et al.. (2012). Welcher Weg führt von chronischen Rückenschmerzen zur Depressivität?. Der Schmerz. 26(6). 685–691. 17 indexed citations
20.
Schmidt, Carsten Oliver, et al.. (2011). Rückenschmerz und Sozialschicht bei Berufstätigen. Der Schmerz. 25(3). 306–314. 17 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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