Amit K. Jha
- Biomedical Engineering top 2%
- Biomaterials top 1%
- Cell Biology top 2%
- Molecular Medicine top 1%
- Molecular Biology
- Co-authors
- Xinqiao JiaMary C. Farach‐CarsonXian XuKevin E. HealyDaniel A. HarringtonRandall L. DuncanLisa A. GurskiWesley M. Jackson
- Topics
- Proteoglycans and glycosaminoglycans research (9 papers)Electrospun Nanofibers in Biomedical Applications (6 papers)3D Printing in Biomedical Research (5 papers)
- Journals
- PLoS ONEBiomaterialsCell Metabolism
- Partner nations
- United StatesIndiaIreland
In The Last Decade
Amit K. Jha
41 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Biomedical Engineering 1.1k
- Biomaterials 742
- Cell Biology 523
- Molecular Medicine 427
- Molecular Biology 409
Countries citing papers authored by Amit K. Jha
This map shows the geographic impact of Amit K. Jha'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 Amit K. Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit K. Jha more than expected).
Fields of papers citing papers by Amit K. Jha
This network shows the impact of papers produced by Amit K. Jha. 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 Amit K. Jha. The network helps show where Amit K. Jha may publish in the future.
Co-authorship network of co-authors of Amit K. Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Amit K. Jha. A scholar is included among the top collaborators of Amit K. Jha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amit K. Jha. Amit K. Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 62 | |
| 6 | 46 | |
| 7 | 21 | |
| 8 | 29 | |
| 9 | 95 | |
| 10 | 70 | |
| 11 | 155 | |
| 12 | A soft hyaluronic acid-based hydrogel can control myopia progression in guinea pigs | 1 |
| 13 | Myopia control in guinea pigs with a biomimetic hyaluronic acid-based hydrogel | 1 |
| 14 | Optimization Of A Synthetic Biomimetic Hydrogel Intended For Myopia Control Through Scleral Regeneration | 1 |
| 15 | 91 | |
| 16 | 123 | |
| 17 | 41 | |
| 18 | Nanomedicine: An Emerging Area of Nanotechnology | 2 |
| 19 | 216 | |
| 20 | 57 |
About Amit K. Jha
Amit K. Jha is a scholar working on Urology, Cell Biology and Biomaterials, having authored 44 papers that have together received 2.6k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and 3D Printing in Biomedical Research (5 papers). The work is most often cited by research in Molecular Medicine (427 citations), Biomaterials (742 citations) and Cell Biology (523 citations). Amit K. Jha has collaborated with scholars based in United States, India and Ireland. Frequent co-authors include Xinqiao Jia, Mary C. Farach‐Carson, Xian Xu, Kevin E. Healy, Daniel A. Harrington, Randall L. Duncan, Lisa A. Gurski, Wesley M. Jackson, Suddhasatwa Basu and Yerem Yeghiazarians. Their work appears in journals such as PLoS ONE, Biomaterials and Cell Metabolism.
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.