Anuj Tripathi
Impact in
- Molecular Medicine top 1%
- Hydrogels: synthesis, properties, applications
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
Papers in
-
- Bone Tissue Engineering Materials 8
- 3D Printing in Biomedical Research 7
- Surgery 13
- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Ashok Kumar (12 shared papers)Jose Savio Melo (13 shared papers)Kamal K. Kar (1 shared paper)Sumrita Bhat (1 shared paper)Deepti Singh (4 shared papers)Stanislaus F. D’Souza (2 shared papers)Hans Jungvid (3 shared papers)Krystyna Domańska‐Janik (2 shared papers)
In The Last Decade
Anuj Tripathi
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 117
- Molecular Medicine 358
- Biomaterials 571
- Biomedical Engineering 772
- Rehabilitation 87
- Surfaces, Coatings and Films 78
Countries citing papers authored by Anuj Tripathi
This map shows the geographic impact of Anuj Tripathi'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 Anuj Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Tripathi more than expected).
Fields of papers citing papers by Anuj Tripathi
This network shows the impact of papers produced by Anuj Tripathi. 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 Anuj Tripathi. The network helps show where Anuj Tripathi may publish in the future.
Co-authors
The 25 scholars most cited alongside Anuj Tripathi, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 299 | |
| 2 | 2010 | 197 | |
| 3 | 2011 | 146 | |
| 4 | 2008 | 118 | |
| 5 | 2010 | 117 | |
| 6 | 2015 | 68 | |
| 7 | 2012 | 67 | |
| 8 | 2017 | 64 | |
| 9 | 2010 | 63 | |
| 10 | 2014 | 62 | |
| 11 | 2013 | 44 | |
| 12 | 2011 | 43 | |
| 13 | 2011 | 32 | |
| 14 | 2013 | 32 | |
| 15 | 2017 | 30 | |
| 16 | 2014 | 26 | |
| 17 | 2011 | 23 | |
| 18 | 2000 | 21 | |
| 19 | 2019 | 20 | |
| 20 | 1995 | 20 |
About Anuj Tripathi
Anuj Tripathi is a scholar working on Biomedical Engineering, Surgery, Biomaterials, Materials Chemistry and Molecular Biology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (8 papers), 3D Printing in Biomedical Research (7 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Hydrogels: synthesis, properties, applications (3 papers), Pickering emulsions and particle stabilization (3 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Radioactive element chemistry and processing (3 papers). The work is most often cited by research in Molecular Medicine (358 citations), Biomaterials (571 citations), Biomedical Engineering (772 citations), Rehabilitation (87 citations) and Surfaces, Coatings and Films (78 citations). Anuj Tripathi has collaborated with scholars based in India, Japan and Poland. Frequent co-authors include Ashok Kumar, Jose Savio Melo, Kamal K. Kar, Sumrita Bhat, Deepti Singh, Stanislaus F. D’Souza, Hans Jungvid, Krystyna Domańska‐Janik, Anna Jabłońska and Marcin Jurga. Their work appears in journals such as RSC Advances, Macromolecular Bioscience, Enzyme and Microbial Technology, Journal of Biomedical Materials Research Part A and Journal of Applied Polymer 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.