Kang I. Ko

1.4k total citations
20 papers, 922 citations indexed

About

Kang I. Ko is a scholar working on Genetics, Rehabilitation and Periodontics. According to data from OpenAlex, Kang I. Ko has authored 20 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Rehabilitation and 5 papers in Periodontics. Recurrent topics in Kang I. Ko's work include Mesenchymal stem cell research (5 papers), Wound Healing and Treatments (5 papers) and Oral microbiology and periodontitis research (5 papers). Kang I. Ko is often cited by papers focused on Mesenchymal stem cell research (5 papers), Wound Healing and Treatments (5 papers) and Oral microbiology and periodontitis research (5 papers). Kang I. Ko collaborates with scholars based in United States, China and Saudi Arabia. Kang I. Ko's co-authors include Jing W. Wang, Cory M. Root, Amir Homayoun Jafari‬, Dana T. Graves, Anton Sculean, Susy M. Kim, Orel A. Zaninovich, Andrew K. Shepherd, Scott A. Lindsay and Steven A. Wasserman and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and Diabetes.

In The Last Decade

Kang I. Ko

18 papers receiving 916 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang I. Ko United States 9 469 240 172 166 143 20 922
Andrew P. Vreede United States 10 482 1.0× 266 1.1× 92 0.5× 316 1.9× 151 1.1× 12 1.0k
Richard Benton United States 10 477 1.0× 196 0.8× 160 0.9× 119 0.7× 110 0.8× 10 881
Tyler Ofstad United States 6 414 0.9× 247 1.0× 57 0.3× 346 2.1× 173 1.2× 6 910
Ermelinda Porpiglia United States 15 342 0.7× 131 0.5× 152 0.9× 912 5.5× 49 0.3× 21 1.8k
Kazuko Fujitani Japan 13 376 0.8× 268 1.1× 72 0.4× 373 2.2× 167 1.2× 23 836
Minrong Ai United States 16 532 1.1× 681 2.8× 218 1.3× 1.3k 7.9× 103 0.7× 21 2.3k
Pengcheng Liu China 18 376 0.8× 178 0.7× 224 1.3× 317 1.9× 97 0.7× 46 841
Douglas W. Allan Canada 22 456 1.0× 153 0.6× 51 0.3× 659 4.0× 71 0.5× 43 1.4k
Ya-Hui Chou Taiwan 16 577 1.2× 242 1.0× 97 0.6× 567 3.4× 169 1.2× 26 1.3k
Tomoko Morita Japan 18 185 0.4× 173 0.7× 27 0.2× 681 4.1× 81 0.6× 43 1.3k

Countries citing papers authored by Kang I. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Kang I. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kang I. Ko. 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 Kang I. Ko. The network helps show where Kang I. Ko may publish in the future.

Co-authorship network of co-authors of Kang I. Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Kang I. Ko. A scholar is included among the top collaborators of Kang I. Ko 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 Kang I. Ko. Kang I. Ko 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.
Chen, Zhijian J., et al.. (2025). Single-Cell Analysis of Fibroblast Subpopulations in Skin and Oral Mucosa. Journal of Dental Research. 105(4). 417–431.
2.
Rojas, Leticia, Min Liu, Jane Yang, et al.. (2025). Single Cell Sequencing Identifies Distinct Cellular Alterations in Impaired Aged and Diabetic Wounds. Aging Cell. 24(12). e70217–e70217. 1 indexed citations
3.
Guan, Peng, et al.. (2025). Ferroptosis in periodontitis: mechanisms, impacts, and systemic connections. Cell Death Discovery. 11(1). 283–283. 3 indexed citations
4.
Liu, Min, Xin Huang, Akira Hasuike, et al.. (2025). Single-cell RNA profiling identifies immune cell population shifts in diabetes associated mucosal inflammation. Mucosal Immunology. 18(5). 1082–1097. 1 indexed citations
5.
Easter, Quinn T., Meik Kunz, Bruno Fernandes Matuck, et al.. (2025). Polybacterial intracellular macromolecules shape single-cell inflammatory profiles in upper airway epithelia. npj Biofilms and Microbiomes. 11(1). 100–100.
6.
Zhu, Timothy C., Andreea Dimofte, Theresa M. Busch, et al.. (2024). Assessing 661nm photobiomodulation light fluence rate transmission for optimal dose delivery. 5315. 8–8. 1 indexed citations
7.
Kim, William, et al.. (2024). ICAM1+ gingival fibroblasts modulate periodontal inflammation to mitigate bone loss. Frontiers in Immunology. 15. 1484483–1484483. 2 indexed citations
8.
Yang, Bo, Stella Alimperti, Michael V. Gonzalez, et al.. (2023). Reepithelialization of Diabetic Skin and Mucosal Wounds Is Rescued by Treatment With Epigenetic Inhibitors. Diabetes. 73(1). 120–134. 6 indexed citations
9.
Ko, Kang I., et al.. (2023). Primed inflammatory response by fibroblast subset is necessary for proper oral and cutaneous wound healing. Molecular Oral Microbiology. 39(3). 113–124. 3 indexed citations
10.
Ko, Kang I., Zhen Huang, Y Horiuchi, et al.. (2022). NF-κB perturbation reveals unique immunomodulatory functions in Prx1 + fibroblasts that promote development of atopic dermatitis. Science Translational Medicine. 14(630). eabj0324–eabj0324. 47 indexed citations
11.
Ko, Kang I., et al.. (2022). Distinct fibroblast progenitor subpopulation expedites regenerative mucosal healing by immunomodulation. The Journal of Experimental Medicine. 220(3). 21 indexed citations
12.
Ko, Kang I., Anton Sculean, & Dana T. Graves. (2021). Diabetic wound healing in soft and hard oral tissues. Translational research. 236. 72–86. 92 indexed citations
13.
Fiorellini, Joseph P., et al.. (2020). Diabetic Serum Inhibits Osteoblast Adhesion to Titanium Surface Through Advanced Glycation End Products: An In Vitro Study. The International Journal of Oral & Maxillofacial Implants. 35(3). 551–559. 3 indexed citations
14.
Ko, Kang I., et al.. (2019). Diabetes-Induced NF-κB Dysregulation in Skeletal Stem Cells Prevents Resolution of Inflammation. Diabetes. 68(11). 2095–2106. 39 indexed citations
15.
Norton, Michael, et al.. (2018). Surgical Alternatives for Treating Peri-implantitis. The International Journal of Periodontics & Restorative Dentistry. 38(5). 665–671. 5 indexed citations
16.
Lim, Jason, Kang I. Ko, Marcelo Mattos, et al.. (2017). TNFα contributes to diabetes impaired angiogenesis in fracture healing. Bone. 99. 26–38. 71 indexed citations
17.
Ko, Kang I., Leila S. Coimbra, Chen Tian, et al.. (2015). Diabetes reduces mesenchymal stem cells in fracture healing through a TNFα-mediated mechanism. Diabetologia. 58(3). 633–642. 89 indexed citations
18.
Ko, Kang I., Cory M. Root, Scott A. Lindsay, et al.. (2015). Starvation promotes concerted modulation of appetitive olfactory behavior via parallel neuromodulatory circuits. eLife. 4. 146 indexed citations
19.
Zaninovich, Orel A., et al.. (2013). A Single-fly Assay for Foraging Behavior in <em>Drosophila</em>. Journal of Visualized Experiments. e50801–e50801. 8 indexed citations
20.
Root, Cory M., Kang I. Ko, Amir Homayoun Jafari‬, & Jing W. Wang. (2011). Presynaptic Facilitation by Neuropeptide Signaling Mediates Odor-Driven Food Search. Cell. 145(1). 133–144. 384 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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