Samuel P. Yap

1.3k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Samuel P. Yap is a scholar working on Orthopedics and Sports Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Samuel P. Yap has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Orthopedics and Sports Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Samuel P. Yap's work include Bone and Joint Diseases (5 papers), Hip disorders and treatments (3 papers) and Advanced MRI Techniques and Applications (3 papers). Samuel P. Yap is often cited by papers focused on Bone and Joint Diseases (5 papers), Hip disorders and treatments (3 papers) and Advanced MRI Techniques and Applications (3 papers). Samuel P. Yap collaborates with scholars based in United States, Germany and Malaysia. Samuel P. Yap's co-authors include Thomas Baum, Ann V. Schwartz, Dimitrios C. Karampinos, Janina Patsch, Andrew J. Burghardt, Thomas M. Link, Xiaojuan Li, Gabby B. Joseph, Thomas M. Link and Lorenzo Nardo and has published in prestigious journals such as Journal of Bone and Mineral Research, Journal of Magnetic Resonance Imaging and European Radiology.

In The Last Decade

Samuel P. Yap

9 papers receiving 1.1k 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.

Increased cortical porosity in type 2 diabetic postmenopausal women with fragility fractures

2012 343 citations Janina Patsch, Andrew J. Burghardt et al. Journal of Bone and Mineral Research profile →

Peers

Samuel P. Yap

OSM

MB

RNMI

PHYSI

SURGE

África Muxí Spain

Polly Young United States

E Ogris Austria

Sebastian Globits Austria

Shunsuke Sato Japan

Ryuji Tsuburaya Japan

Kensuke Nishimiya Japan

J.E. MacSweeney United Kingdom

Wen‐Chan Chiu Taiwan

Shannon Mackey‐Bojack United States

África Muxí Spain

Samuel P. Yap

283 ×0.4

OSM

104 ×0.4

MB

170 ×0.7

RNMI

124 ×0.6

PHYSI

233 ×1.1

SURGE

Citations per year, relative to Samuel P. Yap Samuel P. Yap (= 1×) peers África Muxí

Countries citing papers authored by Samuel P. Yap

Since Specialization

Citations

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

Fields of papers citing papers by Samuel P. Yap

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel P. Yap. 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 Samuel P. Yap. The network helps show where Samuel P. Yap may publish in the future.

Co-authorship network of co-authors of Samuel P. Yap

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

9 of 9 papers shown

1.

Baum, Thomas, Samuel P. Yap, Michael Dieckmeyer, et al.. (2015). Assessment of whole spine vertebral bone marrow fat using chemical shift‐encoding based water‐fat MRI. Journal of Magnetic Resonance Imaging. 42(4). 1018–1023. 78 indexed citations

2.

Dieckmeyer, Michael, Stefan Ruschke, Christian Cordes, et al.. (2015). The need for T₂ correction on MRS‐based vertebral bone marrow fat quantification: implications for bone marrow fat fraction age dependence. NMR in Biomedicine. 28(4). 432–439. 54 indexed citations

3.

Patsch, Janina, Xiaojuan Li, Thomas Baum, et al.. (2013). Bone marrow fat composition as a novel imaging biomarker in postmenopausal women with prevalent fragility fractures. Journal of Bone and Mineral Research. 28(8). 1721–1728. 259 indexed citations

4.

Alizai, Hamza, Lorenzo Nardo, Dimitrios C. Karampinos, et al.. (2012). Comparison of clinical semi-quantitative assessment of muscle fat infiltration with quantitative assessment using chemical shift-based water/fat separation in MR studies of the calf of post-menopausal women. European Radiology. 22(7). 1592–1600. 57 indexed citations

5.

Patsch, Janina, Andrew J. Burghardt, Samuel P. Yap, et al.. (2012). Increased cortical porosity in type 2 diabetic postmenopausal women with fragility fractures. Journal of Bone and Mineral Research. 28(2). 313–324. 343 indexed citations breakdown →

6.

Baum, Thomas, Samuel P. Yap, Dimitrios C. Karampinos, et al.. (2011). Does vertebral bone marrow fat content correlate with abdominal adipose tissue, lumbar spine bone mineral density, and blood biomarkers in women with type 2 diabetes mellitus?. Journal of Magnetic Resonance Imaging. 35(1). 117–124. 188 indexed citations

7.

Karampinos, Dimitrios C., Thomas Baum, Lorenzo Nardo, et al.. (2011). Characterization of the regional distribution of skeletal muscle adipose tissue in type 2 diabetes using chemical shift‐based water/fat separation. Journal of Magnetic Resonance Imaging. 35(4). 899–907. 104 indexed citations

8.

Toh, Han Chong, Whay Kuang Chia, Yi Liu, et al.. (2010). Graft-vs-tumor effect in patients with advanced nasopharyngeal cancer treated with nonmyeloablative allogeneic PBSC transplantation. Bone Marrow Transplantation. 46(4). 573–579. 4 indexed citations

9.

Yuen, Kah Hay, Jia Woei Wong, Samuel P. Yap, & Nashiru Billa. (2001). Estimated coefficient of variation values for sample size planning in bioequivalence studies. International Journal of Clinical Pharmacology and Therapeutics. 39(1). 37–40. 9 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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