Gopal Shankar Krishnakumar
- Biomedical Engineering top 10%
- Biomaterials top 5%
- Surgery
- Automotive Engineering top 10%
- Molecular Medicine top 10%
- Co-authors
- Shalini MuthusamySowndarya SampathR. SelvakumarSellamuthu N. JaisankarKetul C. PopatSelvakumari UlagesanMadhappan SanthamoorthyVinit Raj
- Topics
- Bone Tissue Engineering Materials (6 papers)Electrospun Nanofibers in Biomedical Applications (5 papers)Tissue Engineering and Regenerative Medicine (4 papers)
- Partner nations
- IndiaSouth KoreaUnited States
In The Last Decade
Gopal Shankar Krishnakumar
19 papers receiving 572 citations
Peers
Comparison fields: 5 of 90
- Biomedical Engineering 281
- Biomaterials 229
- Surgery 75
- Automotive Engineering 75
- Molecular Medicine 71
Countries citing papers authored by Gopal Shankar Krishnakumar
This map shows the geographic impact of Gopal Shankar Krishnakumar'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 Gopal Shankar Krishnakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gopal Shankar Krishnakumar more than expected).
Fields of papers citing papers by Gopal Shankar Krishnakumar
This network shows the impact of papers produced by Gopal Shankar Krishnakumar. 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 Gopal Shankar Krishnakumar. The network helps show where Gopal Shankar Krishnakumar may publish in the future.
Co-authorship network of co-authors of Gopal Shankar Krishnakumar
This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Shankar Krishnakumar. A scholar is included among the top collaborators of Gopal Shankar Krishnakumar 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 Gopal Shankar Krishnakumar. Gopal Shankar Krishnakumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 11 | |
| 7 | 84 | |
| 8 | 5 | |
| 9 | 29 | |
| 10 | 93 | |
| 11 | 66 | |
| 12 | 40 | |
| 13 | 26 | |
| 14 | 28 | |
| 15 | 18 | |
| 16 | 9 | |
| 17 | 87 | |
| 18 | 37 | |
| 19 | 12 |
About Gopal Shankar Krishnakumar
Gopal Shankar Krishnakumar is a scholar working on Biomaterials, Developmental Neuroscience and Biomedical Engineering, having authored 19 papers that have together received 581 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Biomaterials (229 citations), Molecular Medicine (71 citations) and Biomedical Engineering (281 citations). Gopal Shankar Krishnakumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Shalini Muthusamy, Sowndarya Sampath, R. Selvakumar, Sellamuthu N. Jaisankar, Ketul C. Popat, Selvakumari Ulagesan, Madhappan Santhamoorthy, Vinit Raj, Seong‐Cheol Kim and Kokila Thirupathi. Their work appears in journals such as Polymer, Carbohydrate Polymers and Progress in Materials 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.