May Win Naing
Impact in
- Automotive Engineering top 0.5%
- Additive Manufacturing and 3D Printing Technologies
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Additive Manufacturing and 3D Printing Technologies 14
-
- 3D Printing in Biomedical Research 26
- Bone Tissue Engineering Materials 7
- Innovative Microfluidic and Catalytic Techniques Innovation 5
- Co-authors
- Wei Long Ng (11 shared papers)Wai Yee Yeong (11 shared papers)Deepak Choudhury (9 shared papers)Chee Kai Chua (4 shared papers)Kah Fai Leong (4 shared papers)Han Win Tun (1 shared paper)Tianyi Wang (1 shared paper)Satnam Singh (2 shared papers)
- Journals
- Cytotherapy (6 papers)Trends in biotechnology (4 papers)Scientific Reports (4 papers)International Journal of Bioprinting (2 papers)Biomaterials Science (2 papers)
- Partner nations
- SingaporeUnited KingdomRussia
In The Last Decade
May Win Naing
42 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 128
- Automotive Engineering 1.2k
- Biomaterials 659
- Biomedical Engineering 2.1k
- Rehabilitation 248
- Molecular Medicine 65
Countries citing papers authored by May Win Naing
This map shows the geographic impact of May Win Naing'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 May Win Naing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May Win Naing more than expected).
Fields of papers citing papers by May Win Naing
This network shows the impact of papers produced by May Win Naing. 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 May Win Naing. The network helps show where May Win Naing may publish in the future.
Co-authors
The 25 scholars most cited alongside May Win Naing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 252 | |
| 2 | 2019 | 239 | |
| 3 | 2018 | 236 | |
| 4 | 2016 | 219 | |
| 5 | 2018 | 212 | |
| 6 | 2017 | 204 | |
| 7 | 2018 | 155 | |
| 8 | 2005 | 129 | |
| 9 | 2005 | 125 | |
| 10 | 2020 | 108 | |
| 11 | 2017 | 104 | |
| 12 | 2018 | 95 | |
| 13 | 2017 | 92 | |
| 14 | 2016 | 92 | |
| 15 | 2019 | 88 | |
| 16 | 2020 | 87 | |
| 17 | 2020 | 79 | |
| 18 | 2013 | 61 | |
| 19 | 2020 | 49 | |
| 20 | 2018 | 44 |
About May Win Naing
May Win Naing is a scholar working on Automotive Engineering, Biomedical Engineering, Biomaterials, Rehabilitation and Molecular Medicine, having authored 44 papers that have together received 3.0k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (26 papers), Additive Manufacturing and 3D Printing Technologies (14 papers), Bone Tissue Engineering Materials (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Wound Healing and Treatments (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Automotive Engineering (1.2k citations), Biomaterials (659 citations), Biomedical Engineering (2.1k citations), Rehabilitation (248 citations) and Molecular Medicine (65 citations). May Win Naing has collaborated with scholars based in Singapore, United Kingdom and Russia. Frequent co-authors include Wei Long Ng, Wai Yee Yeong, Deepak Choudhury, Chee Kai Chua, Kah Fai Leong, Han Win Tun, Tianyi Wang, Satnam Singh, Shuai Wang and Shivesh Anand. Their work appears in journals such as Cytotherapy, Trends in biotechnology, Scientific Reports, International Journal of Bioprinting and Biomaterials Science.
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.