Sudhakaran Prabakaran
- Molecular Biology top 5%
- Biological Psychiatry top 0.5%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Genetics top 10%
- Co-authors
- Jeremy GunawardenaKathryn S. LilleySabine BahnGuy LippensJane E. SWATTONNatasha A. KarpMatthew T. WaylandHanno Steen
- Topics
- RNA and protein synthesis mechanisms (7 papers)Metabolomics and Mass Spectrometry Studies (6 papers)Genomics and Phylogenetic Studies (3 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Sudhakaran Prabakaran
38 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 1.4k
- Biological Psychiatry 490
- Physiology 399
- Cellular and Molecular Neuroscience 317
- Genetics 280
Countries citing papers authored by Sudhakaran Prabakaran
This map shows the geographic impact of Sudhakaran Prabakaran'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 Sudhakaran Prabakaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudhakaran Prabakaran more than expected).
Fields of papers citing papers by Sudhakaran Prabakaran
This network shows the impact of papers produced by Sudhakaran Prabakaran. 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 Sudhakaran Prabakaran. The network helps show where Sudhakaran Prabakaran may publish in the future.
Co-authorship network of co-authors of Sudhakaran Prabakaran
This figure shows the co-authorship network connecting the top 25 collaborators of Sudhakaran Prabakaran. A scholar is included among the top collaborators of Sudhakaran Prabakaran 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 Sudhakaran Prabakaran. Sudhakaran Prabakaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 13 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 59 | |
| 11 | 82 | |
| 12 | 56 | |
| 13 | 15 | |
| 14 | 50 | |
| 15 | 248 | |
| 16 | RPE65 Transgene Induces Bone Marrow Stem Cells to Rescue Retinal Pigment Epithelium Damage | 1 |
| 17 | 93 | |
| 18 | 69 | |
| 19 | Mitochondrial dysfunction in schizophrenia: evidence for compromised brain metabolism and oxidative stressbreakdown → | 806 |
| 20 | 2 |
About Sudhakaran Prabakaran
Sudhakaran Prabakaran is a scholar working on Health Informatics, Biological Psychiatry and Molecular Biology, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Biological Psychiatry (490 citations), Behavioral Neuroscience (111 citations) and Molecular Biology (1.4k citations). Sudhakaran Prabakaran has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Jeremy Gunawardena, Kathryn S. Lilley, Sabine Bahn, Guy Lippens, Jane E. SWATTON, Natasha A. Karp, Matthew T. Wayland, Hanno Steen, Jeffrey Huang and Julian L. Griffin. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Bioresource Technology.
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.