Guak‐Kim Tan

588 total citations
9 papers, 462 citations indexed

About

Guak‐Kim Tan is a scholar working on Rheumatology, Surgery and Orthopedics and Sports Medicine. According to data from OpenAlex, Guak‐Kim Tan has authored 9 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 4 papers in Surgery and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in Guak‐Kim Tan's work include Osteoarthritis Treatment and Mechanisms (5 papers), Knee injuries and reconstruction techniques (3 papers) and Tendon Structure and Treatment (3 papers). Guak‐Kim Tan is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (5 papers), Knee injuries and reconstruction techniques (3 papers) and Tendon Structure and Treatment (3 papers). Guak‐Kim Tan collaborates with scholars based in Australia, United States and Malaysia. Guak‐Kim Tan's co-authors include Justin J. Cooper‐White, Gary Brooke, Michael R. Doran, James E. Hudson, Brandon D. Markway, Yasuhiko Tabata, KH Kim, Peter Myers, Ronen Schweitzer and Douglas R. Keene and has published in prestigious journals such as Biomaterials, Acta Biomaterialia and eLife.

In The Last Decade

Guak‐Kim Tan

9 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guak‐Kim Tan Australia	9	176	151	106	94	92	9	462
Nienke Grotenhuis Netherlands	7	182 1.0×	171 1.1×	82 0.8×	97 1.0×	42 0.5×	10	496
Chun-Yuh C. Huang United States	12	216 1.2×	111 0.7×	130 1.2×	114 1.2×	41 0.4×	14	557
Bjoern Rath Germany	11	224 1.3×	231 1.5×	49 0.5×	149 1.6×	83 0.9×	15	623
Yuanheng Yang China	9	153 0.9×	169 1.1×	58 0.5×	89 0.9×	42 0.5×	13	419
Chathuraka T. Jayasuriya United States	17	259 1.5×	346 2.3×	94 0.9×	138 1.5×	69 0.8×	29	653
Jianchao Gui China	13	157 0.9×	265 1.8×	73 0.7×	116 1.2×	49 0.5×	32	485
Raja Elina Ahmad Malaysia	9	149 0.8×	169 1.1×	114 1.1×	43 0.5×	98 1.1×	17	385
Anne Gigout Germany	12	113 0.6×	293 1.9×	59 0.6×	162 1.7×	42 0.5×	27	490
Paul W. Kopesky United States	10	175 1.0×	363 2.4×	112 1.1×	139 1.5×	86 0.9×	17	629
Yanbin Pi China	12	182 1.0×	168 1.1×	64 0.6×	282 3.0×	150 1.6×	24	749

Countries citing papers authored by Guak‐Kim Tan

Since Specialization

Citations

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

Fields of papers citing papers by Guak‐Kim Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guak‐Kim Tan. 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 Guak‐Kim Tan. The network helps show where Guak‐Kim Tan may publish in the future.

Co-authorship network of co-authors of Guak‐Kim Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Guak‐Kim Tan. A scholar is included among the top collaborators of Guak‐Kim Tan 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 Guak‐Kim Tan. Guak‐Kim Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Tan, Guak‐Kim, et al.. (2021). Cell autonomous TGFβ signaling is essential for stem/progenitor cell recruitment into degenerative tendons. Stem Cell Reports. 16(12). 2942–2957. 12 indexed citations

2.

Tan, Guak‐Kim, Brian A. Pryce, John V. Brigande, et al.. (2020). Tgfβ signaling is critical for maintenance of the tendon cell fate. eLife. 9. 62 indexed citations

3.

Tan, Guak‐Kim & Yasuhiko Tabata. (2014). Chondroitin-6-sulfate attenuates inflammatory responses in murine macrophages via suppression of NF-κB nuclear translocation. Acta Biomaterialia. 10(6). 2684–2692. 53 indexed citations

4.

Tan, Guak‐Kim, et al.. (2011). Modulation of collagen II fiber formation in 3-D porous scaffold environments. Acta Biomaterialia. 7(7). 2804–2816. 10 indexed citations

5.

Tan, Guak‐Kim & Justin J. Cooper‐White. (2011). Interactions of meniscal cells with extracellular matrix molecules. Cell Adhesion & Migration. 5(3). 220–226. 27 indexed citations

6.

Tan, Guak‐Kim, et al.. (2011). Effects of biomimetic surfaces and oxygen tension on redifferentiation of passaged human fibrochondrocytes in 2D and 3D cultures. Biomaterials. 32(24). 5600–5614. 40 indexed citations

7.

Tan, Guak‐Kim, et al.. (2010). Interactions between meniscal cells and a self assembled biomimetic surface composed of hyaluronic acid, chitosan and meniscal extracellular matrix molecules. Biomaterials. 31(23). 6104–6118. 34 indexed citations

8.

Markway, Brandon D., Guak‐Kim Tan, Gary Brooke, et al.. (2010). Enhanced Chondrogenic Differentiation of Human Bone Marrow-Derived Mesenchymal Stem Cells in Low Oxygen Environment Micropellet Cultures. Cell Transplantation. 19(1). 29–42. 184 indexed citations

9.

Tan, Guak‐Kim, et al.. (2005). Morphological and biochemical changes of andrographolide-induced cell death in human prostatic adenocarcinoma PC-3 cells.. PubMed. 19(3). 551–7. 40 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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