Jaykrishna Singh
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
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- Nanoplatforms for cancer theranostics
- Characterization and Applications of Magnetic Nanoparticles
- Graphene and Nanomaterials Applications
- Microfluidic and Bio-sensing Technologies
Papers in
- Surgery 3
- Peripheral Artery Disease Management 3
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- Graphene and Nanomaterials Applications 1
- Co-authors
- Paolo Decuzzi (7 shared papers)Santosh Aryal (2 shared papers)Cinzia Stigliano (2 shared papers)Anna Lisa Palange (2 shared papers)Daniele Di Mascolo (2 shared papers)Enrica De Rosa (1 shared paper)Yeonju Lee (1 shared paper)Jaehong Key (1 shared paper)
- Journals
- ACS Nano (2 papers)Computer Methods in Biomechanics & Biomedical Engineering (1 paper)BMC Systems Biology (1 paper)Frontiers in Oncology (1 paper)Journal of Biomechanics (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Jaykrishna Singh
11 papers receiving 517 citations
Peers
Comparison fields: 5 of 80
- Biomaterials 235
- Biomedical Engineering 237
- Molecular Medicine 25
- Modeling and Simulation 16
- Pharmaceutical Science 18
Countries citing papers authored by Jaykrishna Singh
This map shows the geographic impact of Jaykrishna Singh'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 Jaykrishna Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaykrishna Singh more than expected).
Fields of papers citing papers by Jaykrishna Singh
This network shows the impact of papers produced by Jaykrishna Singh. 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 Jaykrishna Singh. The network helps show where Jaykrishna Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Jaykrishna Singh, 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 | 2014 | 183 | |
| 2 | 2015 | 155 | |
| 3 | 2017 | 37 | |
| 4 | 2009 | 33 | |
| 5 | 2012 | 25 | |
| 6 | 2015 | 25 | |
| 7 | 2013 | 22 | |
| 8 | 2013 | 12 | |
| 9 | 2016 | 10 | |
| 10 | 2019 | 9 | |
| 11 | 2012 | 7 |
About Jaykrishna Singh
Jaykrishna Singh is a scholar working on Surgery, Biomedical Engineering, Oncology, Biomaterials and Cell Biology, having authored 11 papers that have together received 518 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (3 papers), Mathematical Biology Tumor Growth (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Cancer Cells and Metastasis (2 papers), Organic Electronics and Photovoltaics (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Bioactive Compounds and Antitumor Agents (1 paper) and Graphene and Nanomaterials Applications (1 paper). The work is most often cited by research in Biomaterials (235 citations), Biomedical Engineering (237 citations), Molecular Medicine (25 citations), Modeling and Simulation (16 citations) and Pharmaceutical Science (18 citations). Jaykrishna Singh has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Paolo Decuzzi, Santosh Aryal, Cinzia Stigliano, Anna Lisa Palange, Daniele Di Mascolo, Enrica De Rosa, Yeonju Lee, Jaehong Key, Minjung Cho and Francesco Gentile. Their work appears in journals such as ACS Nano, Computer Methods in Biomechanics & Biomedical Engineering, BMC Systems Biology, Frontiers in Oncology and Journal of Biomechanics.
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.