Peter Kwan

955 total citations
35 papers, 650 citations indexed

About

Peter Kwan is a scholar working on Dermatology, Rehabilitation and Surgery. According to data from OpenAlex, Peter Kwan has authored 35 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Dermatology, 17 papers in Rehabilitation and 9 papers in Surgery. Recurrent topics in Peter Kwan's work include Wound Healing and Treatments (17 papers), Dermatologic Treatments and Research (16 papers) and Burn Injury Management and Outcomes (6 papers). Peter Kwan is often cited by papers focused on Wound Healing and Treatments (17 papers), Dermatologic Treatments and Research (16 papers) and Burn Injury Management and Outcomes (6 papers). Peter Kwan collaborates with scholars based in Canada, United States and Denmark. Peter Kwan's co-authors include Edward E. Tredget, Jie Ding, Keijiro Hori, Adil Ladak, Yue Huang, Jianfei Wang, Robert Cartotto, Manuel Gómez, Dariush Honardoust and Zengshuan Ma and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Peter Kwan

32 papers receiving 630 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Kwan Canada 14 291 255 113 104 102 35 650
Taryn E Travis United States 13 292 1.0× 270 1.1× 87 0.8× 105 1.0× 127 1.2× 54 628
Kerstin J Rolfe United Kingdom 10 371 1.3× 190 0.7× 113 1.0× 70 0.7× 152 1.5× 16 727
Kathy Q. Zhu United States 16 415 1.4× 343 1.3× 186 1.6× 105 1.0× 90 0.9× 21 835
Brian A. Raphael United States 6 199 0.7× 417 1.6× 138 1.2× 65 0.6× 64 0.6× 8 654
Patricia L. Danielsen Denmark 11 144 0.5× 204 0.8× 150 1.3× 41 0.4× 56 0.5× 25 553
Gisele Viana de Oliveira Brazil 12 281 1.0× 368 1.4× 164 1.5× 129 1.2× 60 0.6× 29 593
Norio Kumagai Japan 14 276 0.9× 176 0.7× 119 1.1× 70 0.7× 88 0.9× 38 579
Oliver Seifert Sweden 15 141 0.5× 391 1.5× 108 1.0× 67 0.6× 172 1.7× 45 804
Dewu Liu China 15 242 0.8× 108 0.4× 60 0.5× 43 0.4× 301 3.0× 62 635
Eric L. Maranda United States 11 89 0.3× 179 0.7× 68 0.6× 86 0.8× 34 0.3× 40 376

Countries citing papers authored by Peter Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Kwan. A scholar is included among the top collaborators of Peter Kwan 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 Peter Kwan. Peter Kwan 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.
Ding, Jie, Shammy Raj, Antoinette T. Nguyen, et al.. (2023). Characteristics of Serum Exosomes after Burn Injury and Dermal Fibroblast Regulation by Exosomes In Vitro. Cells. 12(13). 1738–1738. 4 indexed citations
2.
Ding, Jie, et al.. (2023). The dynamic changes of monocytes and cytokines during wound healing post-burn injury. Cytokine. 168. 156231–156231. 5 indexed citations
3.
Kwan, Peter, et al.. (2023). Free Tissue Transfer in the Reconstruction of Neck Contractures after Burn Injury: A Case Series. SHILAP Revista de lepidopterología. 4(2). 248–258.
4.
Ding, Jie, et al.. (2021). Molecular Features of Hypertrophic Scars After Thermal Injury: Is There a Biologic Basis for Laser Therapy?. Advances in Wound Care. 11(4). 163–178. 8 indexed citations
5.
Ding, Jie, et al.. (2021). The Biology of Extracellular Matrix Proteins in Hypertrophic Scarring. Advances in Wound Care. 11(5). 234–254. 13 indexed citations
6.
Lu, Lei, Shammy Raj, Narcy Arizmendi, et al.. (2021). Identification of short peptide sequences that activate human mast cells via Mas-related G-protein coupled receptor member X2. Acta Biomaterialia. 136. 159–169. 9 indexed citations
7.
Nickel, Kevin J., John A. Staples, Glenda Meeberg, et al.. (2021). The Transition to Microsurgical Technique for Hepatic Artery Reconstruction in Pediatric Liver Transplantation. Plastic & Reconstructive Surgery. 148(2). 248e–257e. 8 indexed citations
8.
Tredget, Edward E., et al.. (2019). 55 The Advantages of Fasciocutaneous Free Tissue Transfers for the Management of Post-Burn Scar Contractures. Journal of Burn Care & Research. 40(Supplement_1). S38–S39. 2 indexed citations
9.
Fatehi, Mohammad, Amy Barr, Wentong Long, et al.. (2017). Subcutaneous white adipocytes express a light sensitive signaling pathway mediated via a melanopsin/TRPC channel axis. Scientific Reports. 7(1). 16332–16332. 45 indexed citations
10.
Kwan, Peter & Edward E. Tredget. (2017). Biological Principles of Scar and Contracture. Hand Clinics. 33(2). 277–292. 49 indexed citations
11.
Romanowski, Kathleen S, Peter Kwan, Tina L. Palmieri, et al.. (2016). Butane Hash Oil Burns. Journal of Burn Care & Research. 38(1). e165–e171. 11 indexed citations
12.
Ding, Jie, Peter Kwan, Zengshuan Ma, et al.. (2016). Synergistic effect of vitamin D and low concentration of transforming growth factor beta 1, a potential role in dermal wound healing. Burns. 42(6). 1277–1286. 35 indexed citations
13.
Kwan, Peter, Jie Ding, & Edward E. Tredget. (2015). Serum Decorin, Interleukin-1β, and Transforming Growth Factor-β Predict Hypertrophic Scarring Postburn. Journal of Burn Care & Research. 37(6). 356–366. 20 indexed citations
14.
Kwan, Peter, Jie Ding, & Edward E. Tredget. (2015). MicroRNA 181b Regulates Decorin Production by Dermal Fibroblasts and May Be a Potential Therapy for Hypertrophic Scar. PLoS ONE. 10(4). e0123054–e0123054. 48 indexed citations
15.
Ding, Jie, et al.. (2015). Morphologic and Histologic Comparison of Hypertrophic Scar in Nude Mice, T-Cell Receptor, and Recombination Activating Gene Knockout Mice. Plastic & Reconstructive Surgery. 136(6). 1192–1204. 8 indexed citations
16.
Honardoust, Dariush, et al.. (2013). Novel Methods for the Investigation of Human Hypertrophic Scarring and Other Dermal Fibrosis. Methods in molecular biology. 1037. 203–231. 23 indexed citations
17.
Kwan, Peter, et al.. (2012). A nude mouse model of hypertrophic scar shows morphologic and histologic characteristics of human hypertrophic scar. Wound Repair and Regeneration. 21(1). 77–87. 45 indexed citations
18.
Wang, Jianfei, Keijiro Hori, Jie Ding, et al.. (2010). Toll‐like receptors expressed by dermal fibroblasts contribute to hypertrophic scarring. Journal of Cellular Physiology. 226(5). 1265–1273. 124 indexed citations
19.
Kwan, Peter, Keijiro Hori, Jie Ding, & Edward E. Tredget. (2009). Scar and Contracture: Biological Principles. Hand Clinics. 25(4). 511–528. 44 indexed citations
20.
Kwan, Peter. (1997). Jeffrey Dahmer and the Cosynthesis of Categories. Hastings law journal. 48(6). 1257. 22 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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