Kenneth Ng

1.8k total citations
51 papers, 1.3k citations indexed

About

Kenneth Ng is a scholar working on Surgery, Rheumatology and Biomaterials. According to data from OpenAlex, Kenneth Ng has authored 51 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Surgery, 28 papers in Rheumatology and 11 papers in Biomaterials. Recurrent topics in Kenneth Ng's work include Osteoarthritis Treatment and Mechanisms (26 papers), Knee injuries and reconstruction techniques (13 papers) and Silk-based biomaterials and applications (11 papers). Kenneth Ng is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (26 papers), Knee injuries and reconstruction techniques (13 papers) and Silk-based biomaterials and applications (11 papers). Kenneth Ng collaborates with scholars based in United States, Australia and Canada. Kenneth Ng's co-authors include Gerard A. Ateshian, Clark T. Hung, Robert L. Mauck, Eric G. Lima, Liming Bian, Christopher C.‐B. Wang, Terri‐Ann N. Kelly, Benjamin A. Byers, Rocky S. Tuan and Suzanne A. Maher and has published in prestigious journals such as Science Translational Medicine, Journal of Biomechanics and American Journal of Roentgenology.

In The Last Decade

Kenneth Ng

47 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth Ng United States 21 924 673 436 307 296 51 1.3k
Eric G. Lima United States 16 854 0.9× 566 0.8× 331 0.8× 360 1.2× 267 0.9× 21 1.2k
Daniel J. Huey United States 13 953 1.0× 572 0.8× 444 1.0× 423 1.4× 350 1.2× 16 1.5k
Robert M. Schinagl United States 8 1.0k 1.1× 715 1.1× 280 0.6× 500 1.6× 210 0.7× 9 1.4k
Howard A. Breinan United States 11 1.1k 1.2× 829 1.2× 468 1.1× 316 1.0× 560 1.9× 12 1.5k
Craig Willers Australia 13 629 0.7× 879 1.3× 411 0.9× 334 1.1× 253 0.9× 20 1.4k
Isaac E. Erickson United States 15 523 0.6× 347 0.5× 360 0.8× 284 0.9× 233 0.8× 20 1.1k
CW Archer United Kingdom 11 842 0.9× 433 0.6× 194 0.4× 242 0.8× 253 0.9× 13 1.2k
Faye H. Chen United States 17 749 0.8× 608 0.9× 208 0.5× 311 1.0× 222 0.8× 17 1.4k
Tatiana Vinardell Ireland 22 933 1.0× 502 0.7× 332 0.8× 502 1.6× 386 1.3× 47 1.5k
J. Emmanual United States 9 706 0.8× 849 1.3× 619 1.4× 612 2.0× 339 1.1× 16 1.6k

Countries citing papers authored by Kenneth Ng

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Ng. A scholar is included among the top collaborators of Kenneth Ng 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 Kenneth Ng. Kenneth Ng 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
1.
Trout, Andrew T., Sudha A. Anupindi, Lorna P. Browne, et al.. (2025). Consensus Reporting Standards for CT, MRI, and MRCP of Pediatric Chronic Pancreatitis. American Journal of Roentgenology. 224(6). e2532706–e2532706.
2.
Ng, Kenneth, et al.. (2025). EndoFLIP distensibility index correlates with histologic findings in children with eosinophilic esophagitis. Journal of Pediatric Gastroenterology and Nutrition. 80(5). 824–831. 1 indexed citations
3.
Ng, Kenneth, et al.. (2025). Is it time to revisit the need for pediatric polypectomy guidelines?. Journal of Pediatric Gastroenterology and Nutrition. 81(2). 162–166. 1 indexed citations
4.
Larman, Tatianna, Kiyoko Oshima, Daniel S. Rhee, et al.. (2024). Liver transplant for primary biliary tract neuroendocrine tumor in a nine‐year‐old girl. Pediatric Transplantation. 28(2). e14732–e14732.
5.
Ng, Kenneth, et al.. (2023). Esophageal dilation with EsoFLIP is faster than CRE balloon dilation combined with EndoFLIP in children. Surgical Endoscopy. 37(8). 6308–6314. 3 indexed citations
6.
Ng, Kenneth, et al.. (2023). Complex Esophageal Stricture Managed with Balloon Dilation and Fully‐Covered Metal Stent. Journal of Pediatric Gastroenterology and Nutrition. 78(2). 446–447.
7.
Hiremath, Girish, et al.. (2023). Endoscopy in Pediatric Eosinophilic Esophagitis. Gastrointestinal Endoscopy Clinics of North America. 33(2). 323–339.
8.
Ng, Kenneth, et al.. (2021). Early Onset Colorectal Adenocarcinoma in a 15-Year-Old with Pathogenic Germline Mutations in APC and MLH1: A Case Report. Clinical Colorectal Cancer. 20(3). 197–200. 2 indexed citations
9.
Ng, Kenneth, Florian Wanivenhaus, Tony Chen, et al.. (2012). A Novel Macroporous Polyvinyl Alcohol Scaffold Promotes Chondrocyte Migration and Interface Formation in an In Vitro Cartilage Defect Model. Tissue Engineering Part A. 18(11-12). 1273–1281. 35 indexed citations
10.
11.
Bian, Liming, Kenneth Ng, Duo Xu, et al.. (2009). Influence of Temporary Chondroitinase ABC-Induced Glycosaminoglycan Suppression on Maturation of Tissue-Engineered Cartilage. Tissue Engineering Part A. 15(8). 2065–2072. 46 indexed citations
12.
Ng, Kenneth, Eric G. Lima, Liming Bian, et al.. (2009). Passaged Adult Chondrocytes Can Form Engineered Cartilage with Functional Mechanical Properties: A Canine Model. Tissue Engineering Part A. 16(3). 1041–1051. 60 indexed citations
13.
Ng, Kenneth, et al.. (2008). Analysis of radial variations in material properties and matrix composition of chondrocyte-seeded agarose hydrogel constructs. Osteoarthritis and Cartilage. 17(1). 73–82. 21 indexed citations
14.
Bian, Liming, Kenneth Ng, Eric G. Lima, et al.. (2008). Influence of decreasing nutrient path length on the development of engineered cartilage. Osteoarthritis and Cartilage. 17(5). 677–685. 69 indexed citations
15.
Bian, Liming, Eric G. Lima, Kenneth Ng, et al.. (2008). Mechanical and biochemical characterization of cartilage explants in serum-free culture. Journal of Biomechanics. 41(6). 1153–1159. 46 indexed citations
16.
Lima, Eric G., Liming Bian, Kenneth Ng, et al.. (2007). The beneficial effect of delayed compressive loading on tissue-engineered cartilage constructs cultured with TGF-β3. Osteoarthritis and Cartilage. 15(9). 1025–1033. 203 indexed citations
17.
18.
Xu, Xiaofeng, et al.. (2005). Evaluation of different scaffolds for BMP‐2 genetic orthopedic tissue engineering. Journal of Biomedical Materials Research Part B Applied Biomaterials. 75B(2). 289–303. 60 indexed citations
19.
Kelly, Terri‐Ann N., Kenneth Ng, Christopher C.‐B. Wang, Gerard A. Ateshian, & Clark T. Hung. (2005). Spatial and temporal development of chondrocyte-seeded agarose constructs in free-swelling and dynamically loaded cultures. Journal of Biomechanics. 39(8). 1489–1497. 119 indexed citations
20.
Ng, Kenneth, Christopher C.‐B. Wang, Robert L. Mauck, et al.. (2004). A layered agarose approach to fabricate depth‐dependent inhomogeneity in chondrocyte‐seeded constructs. Journal of Orthopaedic Research®. 23(1). 134–141. 126 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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