Nai‐Chen Cheng

4.3k total citations · 1 hit paper
114 papers, 3.3k citations indexed

About

Nai‐Chen Cheng is a scholar working on Surgery, Genetics and Rehabilitation. According to data from OpenAlex, Nai‐Chen Cheng has authored 114 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 28 papers in Genetics and 22 papers in Rehabilitation. Recurrent topics in Nai‐Chen Cheng's work include Mesenchymal stem cell research (28 papers), Wound Healing and Treatments (22 papers) and Tissue Engineering and Regenerative Medicine (17 papers). Nai‐Chen Cheng is often cited by papers focused on Mesenchymal stem cell research (28 papers), Wound Healing and Treatments (22 papers) and Tissue Engineering and Regenerative Medicine (17 papers). Nai‐Chen Cheng collaborates with scholars based in Taiwan, United States and China. Nai‐Chen Cheng's co-authors include Tai‐Horng Young, Jiashing Yu, Yuan‐Kun Wu, Chao‐Min Cheng, Farshid Guilak, Bradley T. Estes, Shan Wang, Hao‐Chih Tai, Hani A. Awad and Yueh‐Bih Tang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Clinical Infectious Diseases.

In The Last Decade

Nai‐Chen Cheng

110 papers receiving 3.3k citations

Hit Papers

Biofilms in Chronic Wounds: Pathogenesis and Diagnosis 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nai‐Chen Cheng Taiwan 28 1.0k 917 832 712 558 114 3.3k
Toru FUJINAGA Japan 28 798 0.8× 1.2k 1.3× 562 0.7× 375 0.5× 545 1.0× 126 4.3k
Feng Lu China 34 1.5k 1.4× 954 1.0× 541 0.7× 1.2k 1.7× 687 1.2× 188 3.8k
Giovanni Abatangelo Italy 39 1.4k 1.3× 1.2k 1.3× 796 1.0× 371 0.5× 624 1.1× 100 5.0k
Haisheng Li Denmark 29 1.1k 1.1× 602 0.7× 922 1.1× 230 0.3× 530 0.9× 78 2.9k
Maria Cornelissen Belgium 27 893 0.9× 1.1k 1.2× 2.3k 2.7× 334 0.5× 241 0.4× 53 4.5k
Xiaodong Guo China 39 1.2k 1.1× 1.4k 1.5× 2.3k 2.8× 260 0.4× 230 0.4× 192 4.5k
Thomas Biedermann Switzerland 30 652 0.6× 738 0.8× 570 0.7× 299 0.4× 1.0k 1.9× 94 3.2k
Tong Cao Singapore 41 1.2k 1.2× 912 1.0× 2.0k 2.4× 1.1k 1.5× 156 0.3× 157 5.5k
Masahiro Okumura Japan 24 593 0.6× 785 0.9× 425 0.5× 404 0.6× 312 0.6× 121 3.0k
Alí Samadikuchaksaraei Iran 39 1.2k 1.2× 2.1k 2.3× 1.8k 2.2× 382 0.5× 610 1.1× 147 4.6k

Countries citing papers authored by Nai‐Chen Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Nai‐Chen Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai‐Chen Cheng. 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 Nai‐Chen Cheng. The network helps show where Nai‐Chen Cheng may publish in the future.

Co-authorship network of co-authors of Nai‐Chen Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Nai‐Chen Cheng. A scholar is included among the top collaborators of Nai‐Chen Cheng 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 Nai‐Chen Cheng. Nai‐Chen Cheng 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
2.
Nahak, Bishal Kumar, Manish Kumar Sharma, Arshad Khan, et al.. (2025). Advancements in multimodal approaches for enhanced wound healing: From chemical to physical strategies. Materials Today. 88. 1087–1125. 1 indexed citations
3.
Liu, Kuan-Ting, Tingyu Lu, Yuting Lin, et al.. (2024). Extracellular vesicles from human adipose-derived stem cell spheroids: Characterization and therapeutic implications in diabetic wound healing. Materials Today Bio. 29. 101333–101333. 3 indexed citations
4.
Cheng, Nai‐Chen, et al.. (2024). Scaffold-free 3D culture systems for stem cell-based tissue regeneration. APL Bioengineering. 8(4). 41501–41501. 7 indexed citations
5.
Huang, Wen-Hung, Kate Huang, Yu‐Chi Chen, et al.. (2024). A 0.296pJ/bit 17.9Tb/s/mm2 Die-to-Die Link in 5nm/6nm FinFET on a 9μm-Pitch 3D Package Achieving 10.24Tb/s Bandwidth at 16Gb/s PAM-4. 1–2. 1 indexed citations
6.
Cheng, Nai‐Chen, et al.. (2023). Alveolar mucosal cell spheroids promote extraction socket healing and osseous defect regeneration. Journal of Periodontology. 95(4). 372–383. 5 indexed citations
8.
Wang, Chih‐Hsing, et al.. (2023). Introduction of 2024 JTSPS for APS Supplement. Annals of Plastic Surgery. 92(1S). S1–S1. 1 indexed citations
10.
Cheng, Nai‐Chen, et al.. (2022). pH-driven continuous stem cell production with enhanced regenerative capacity from polyamide/chitosan surfaces. Materials Today Bio. 18. 100514–100514. 3 indexed citations
11.
Yu, Jiashing, Yi‐Chiung Hsu, Jen‐Kuang Lee, & Nai‐Chen Cheng. (2022). Enhanced angiogenic potential of adipose-derived stem cell sheets by integration with cell spheroids of the same source. Stem Cell Research & Therapy. 13(1). 276–276. 15 indexed citations
12.
Jing, Xiaorong, Yihua Chen, Guo‐Ming Shi, et al.. (2020). Down-regulation of USP8 Inhibits Cholangiocarcinoma Cell Proliferation and Invasion. SHILAP Revista de lepidopterología. 4 indexed citations
13.
Cheng, Nai‐Chen, et al.. (2020). Label-free platform on pH-responsive chitosan: Adhesive heterogeneity for cancer stem-like cell isolation from A549 cells via integrin β4. Carbohydrate Polymers. 239. 116168–116168. 5 indexed citations
14.
Kuan, Chen‐Hsiang, Hui‐Fu Huang, Lukas Jyuhn‐Hsiarn Lee, et al.. (2020). Prognostic significance of positive surgical margins for scalp angiosarcoma. Journal of the Formosan Medical Association. 120(1). 217–225. 6 indexed citations
15.
Lee, Jen‐Kuang, Nai‐Chen Cheng, Hao‐Chih Tai, et al.. (2019). CYP2C19 Polymorphism is Associated With Amputation Rates in Patients Taking Clopidogrel After Endovascular Intervention for Critical Limb Ischaemia. European Journal of Vascular and Endovascular Surgery. 58(3). 373–382. 18 indexed citations
16.
Tai, Hao‐Chih, et al.. (2016). Risk factors for complications following immediate tissue expander based breast reconstruction in Taiwanese population. Journal of the Formosan Medical Association. 116(1). 57–63. 14 indexed citations
17.
Cheng, Nai‐Chen, Hao‐Chih Tai, Shan‐Chwen Chang, Chin‐Hao Chang, & Hong‐Shiee Lai. (2015). Necrotizing fasciitis in patients with diabetes mellitus: clinical characteristics and risk factors for mortality. BMC Infectious Diseases. 15(1). 417–417. 76 indexed citations
18.
Cheng, Nai‐Chen, et al.. (2006). Necrotizing Fasciitis Caused by Methicillin-Resistant Staphylococcus aureus Resulting in Death. Journal of Bone and Joint Surgery. 88(5). 1107–1110. 15 indexed citations
19.
Cheng, Nai‐Chen, Hao‐Chih Tai, Yueh‐Bih Tang, Shan‐Chwen Chang, & Jann‐Tay Wang. (2005). Necrotising fasciitis: clinical features in patients with liver cirrhosis. British Journal of Plastic Surgery. 58(5). 702–707. 50 indexed citations
20.
Cheng, Nai‐Chen. (2004). Bacteremic necrotizing fasciitis caused by Vibrio cholerae serogroup O56 in a patient with liver cirrhosis.. 2 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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