Jiban Jyoti Panda
- Biomaterials top 1%
- Supramolecular Self-Assembly in Materials 22
- Nanoparticle-Based Drug Delivery 11
- Microbiology top 5%
- Molecular Medicine top 5%
- Pharmaceutical Science top 5%
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics 13
- Graphene and Nanomaterials Applications 7
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- RNA Interference and Gene Delivery 14
- Advanced biosensing and bioanalysis techniques 14
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- Nanocluster Synthesis and Applications 6
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- Alzheimer's disease research and treatments 6
- Co-authors
- Virander S. ChauhanSuphiya ParveenSanjeeb Kumar SahooAseem MishraAtanu BasuAvneet KourManju SharmaShadab Alam
- Partner nations
- IndiaItalyUnited States
In The Last Decade
Jiban Jyoti Panda
66 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Biomaterials 847
- Microbiology 114
- Molecular Medicine 88
- Pharmaceutical Science 104
- Biomedical Engineering 489
Countries citing papers authored by Jiban Jyoti Panda
This map shows the geographic impact of Jiban Jyoti 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 Jiban Jyoti Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiban Jyoti Panda more than expected).
Fields of papers citing papers by Jiban Jyoti Panda
This network shows the impact of papers produced by Jiban Jyoti 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 Jiban Jyoti Panda. The network helps show where Jiban Jyoti Panda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiban Jyoti 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 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 20 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 8 | |
| 14 | 2020 | 45 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 25 | |
| 17 | 2018 | 15 | |
| 18 | 2017 | 63 | |
| 19 | 2016 | 39 | |
| 20 | The present and future of nanotechnology in human health carebreakdown → | 2007 | 601 |
About Jiban Jyoti Panda
Jiban Jyoti Panda is a scholar working on Biomaterials, Molecular Medicine, Pharmaceutical Science, Microbiology and Biomedical Engineering, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (22 papers), RNA Interference and Gene Delivery (14 papers), Advanced biosensing and bioanalysis techniques (14 papers), Nanoplatforms for cancer theranostics (13 papers), Nanoparticle-Based Drug Delivery (11 papers), Graphene and Nanomaterials Applications (7 papers), Nanocluster Synthesis and Applications (6 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Biomaterials (847 citations), Microbiology (114 citations), Molecular Medicine (88 citations), Pharmaceutical Science (104 citations) and Biomedical Engineering (489 citations). Jiban Jyoti Panda has collaborated with scholars based in India, Italy and United States. Frequent co-authors include Virander S. Chauhan, Suphiya Parveen, Sanjeeb Kumar Sahoo, Aseem Mishra, Atanu Basu, Avneet Kour, Manju Sharma, Shadab Alam, Sanjay Chhibber and Kusum Harjai. Their work appears in journals such as Nanomedicine, ACS Applied Materials & Interfaces, Nanoscale, Journal of Materials Chemistry B 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.