Asish Panda
Impact in
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- Magnetic Properties of Alloys
- Magnetic and transport properties of perovskites and related materials
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- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Bone Tissue Engineering Materials 5
- 3D Printing in Biomedical Research 4
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- Planarian Biology and Electrostimulation 3
- Co-authors
- Bikramjit Basu (6 shared papers)Bikramjit Basu (3 shared papers)K. Hono (1 shared paper)Tadakatsu Ohkubo (1 shared paper)Yusuke Hirayama (1 shared paper)Saptarshi Basu (1 shared paper)Srimanta Barui (1 shared paper)Saumen Mandal (1 shared paper)
- Journals
- ACS Applied Bio Materials (3 papers)Biomaterials (2 papers)Materials Science and Engineering R Reports (1 paper)Biotechnology and Bioengineering (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Asish Panda
19 papers receiving 311 citations
Peers
Comparison fields: 5 of 71
- Electronic, Optical and Magnetic Materials 76
- Automotive Engineering 45
- Biomedical Engineering 154
- Orthodontics 11
- Biomaterials 31
Countries citing papers authored by Asish Panda
This map shows the geographic impact of Asish Panda'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 Asish Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asish Panda more than expected).
Fields of papers citing papers by Asish Panda
This network shows the impact of papers produced by Asish Panda. 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 Asish Panda. The network helps show where Asish Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Asish Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2016 | 53 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 27 | |
| 5 | 2020 | 20 | |
| 6 | 2022 | 17 | |
| 7 | 2018 | 15 | |
| 8 | 2011 | 15 | |
| 9 | 2010 | 14 | |
| 10 | 1982 | 11 | |
| 11 | 2023 | 9 | |
| 12 | 1986 | 9 | |
| 13 | 2020 | 9 | |
| 14 | 2012 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2018 | 6 | |
| 17 | Myotonic dystrophy: an anaesthetic dilemma. | 2009 | 6 |
| 18 | 2011 | 2 | |
| 19 | 2019 | 1 |
About Asish Panda
Asish Panda is a scholar working on Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Electronic, Optical and Magnetic Materials, having authored 19 papers that have together received 315 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (5 papers), 3D Printing in Biomedical Research (4 papers), Neuroscience and Neural Engineering (3 papers), Planarian Biology and Electrostimulation (3 papers), Shape Memory Alloy Transformations (2 papers), Structural Load-Bearing Analysis (2 papers), Magnetic Properties and Applications (2 papers) and biodegradable polymer synthesis and properties (2 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (76 citations), Automotive Engineering (45 citations), Biomedical Engineering (154 citations), Orthodontics (11 citations) and Biomaterials (31 citations). Asish Panda has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Bikramjit Basu, Bikramjit Basu, K. Hono, Tadakatsu Ohkubo, Yusuke Hirayama, Saptarshi Basu, Srimanta Barui, Saumen Mandal, A. Mitra and S. Mindess. Their work appears in journals such as ACS Applied Bio Materials, Biomaterials, Materials Science and Engineering R Reports, Biotechnology and Bioengineering and Scientific Reports.
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.