Jin Hexiu
Impact in
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
- Advanced Cellulose Research Studies
- Urology top 5%
- Periodontal Regeneration and Treatments
Papers in
-
- Bone Tissue Engineering Materials 8
- 3D Printing in Biomedical Research 5
- Graphene and Nanomaterials Applications 3
- Co-authors
- Ki‐Taek Lim (25 shared papers)Sayan Deb Dutta (14 shared papers)Keya Ganguly (10 shared papers)Dinesh K. Patel (9 shared papers)Pill‐Hoon Choung (10 shared papers)Jong Hoon Chung (9 shared papers)Jangho Kim (9 shared papers)HwaJung Choi (3 shared papers)
- Journals
- Carbohydrate Polymers (4 papers)Tissue Engineering Part A (3 papers)Advanced Healthcare Materials (2 papers)IEEE Transactions on NanoBioscience (2 papers)International Journal of Biological Macromolecules (2 papers)
- Partner nations
- South KoreaChinaUnited States
In The Last Decade
Jin Hexiu
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Biomaterials 335
- Urology 72
- Genetics 109
- Biomedical Engineering 491
- Rehabilitation 65
Countries citing papers authored by Jin Hexiu
This map shows the geographic impact of Jin Hexiu'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 Jin Hexiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Hexiu more than expected).
Fields of papers citing papers by Jin Hexiu
This network shows the impact of papers produced by Jin Hexiu. 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 Jin Hexiu. The network helps show where Jin Hexiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Hexiu, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 185 | |
| 2 | 2009 | 121 | |
| 3 | 2020 | 106 | |
| 4 | 2022 | 95 | |
| 5 | 2012 | 78 | |
| 6 | 2022 | 77 | |
| 7 | 2013 | 48 | |
| 8 | 2022 | 44 | |
| 9 | 2016 | 40 | |
| 10 | 2014 | 37 | |
| 11 | 2012 | 33 | |
| 12 | 2024 | 32 | |
| 13 | 2022 | 30 | |
| 14 | 2022 | 27 | |
| 15 | 2015 | 25 | |
| 16 | 2023 | 24 | |
| 17 | 2013 | 24 | |
| 18 | 2024 | 15 | |
| 19 | 2024 | 12 | |
| 20 | 2016 | 9 |
About Jin Hexiu
Jin Hexiu is a scholar working on Biomedical Engineering, Molecular Biology, Urology, Genetics and Rehabilitation, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (8 papers), Periodontal Regeneration and Treatments (6 papers), Wound Healing and Treatments (5 papers), 3D Printing in Biomedical Research (5 papers), Mesenchymal stem cell research (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Carbon and Quantum Dots Applications (3 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Biomaterials (335 citations), Urology (72 citations), Genetics (109 citations), Biomedical Engineering (491 citations) and Rehabilitation (65 citations). Jin Hexiu has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Ki‐Taek Lim, Sayan Deb Dutta, Keya Ganguly, Dinesh K. Patel, Pill‐Hoon Choung, Jong Hoon Chung, Jangho Kim, HwaJung Choi, Tejal V. Patil and Joo‐Young Park. Their work appears in journals such as Carbohydrate Polymers, Tissue Engineering Part A, Advanced Healthcare Materials, IEEE Transactions on NanoBioscience and International Journal of Biological Macromolecules.
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.