Sinosh Skariyachan
- Pollution top 1%
- Biomaterials top 2%
- Industrial and Manufacturing Engineering top 1%
- Molecular Biology
- Infectious Diseases top 10%
- Co-authors
- Meghna ManjunathKiran S VasistShumaila KiranSujay NaikVidya NiranjanAkshay UttarkarDharshini GopalDenoj Sebastian
- Topics
- Computational Drug Discovery Methods (16 papers)Antibiotic Resistance in Bacteria (9 papers)Microplastics and Plastic Pollution (7 papers)
- Partner nations
- IndiaUnited StatesEgypt
In The Last Decade
Sinosh Skariyachan
62 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 123
- Pollution 751
- Biomaterials 463
- Industrial and Manufacturing Engineering 396
- Molecular Biology 351
- Infectious Diseases 180
Countries citing papers authored by Sinosh Skariyachan
This map shows the geographic impact of Sinosh Skariyachan'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 Sinosh Skariyachan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinosh Skariyachan more than expected).
Fields of papers citing papers by Sinosh Skariyachan
This network shows the impact of papers produced by Sinosh Skariyachan. 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 Sinosh Skariyachan. The network helps show where Sinosh Skariyachan may publish in the future.
Co-authorship network of co-authors of Sinosh Skariyachan
This figure shows the co-authorship network connecting the top 25 collaborators of Sinosh Skariyachan. A scholar is included among the top collaborators of Sinosh Skariyachan 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 Sinosh Skariyachan. Sinosh Skariyachan 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 | 0 | |
| 3 | 3 | |
| 4 | 33 | |
| 5 | 14 | |
| 6 | 6 | |
| 7 | 39 | |
| 8 | 1 | |
| 9 | 71 | |
| 10 | 109 | |
| 11 | 7 | |
| 12 | 合成アゾ染料とそれにより汚染されたインドKarnatakaの繊維工業廃水に対するPleurotus ostreatus(Jacq.:Fr.)P.Kumm.子実体の分解能の環境アセスメント | 83 |
| 13 | 92 | |
| 14 | 3 | |
| 15 | 48 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 11 | |
| 19 | 12 | |
| 20 | 1 |
About Sinosh Skariyachan
Sinosh Skariyachan is a scholar working on Molecular Medicine, Computational Theory and Mathematics and Pollution, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Antibiotic Resistance in Bacteria (9 papers) and Microplastics and Plastic Pollution (7 papers). The work is most often cited by research in Pollution (751 citations), Industrial and Manufacturing Engineering (396 citations) and Biomaterials (463 citations). Sinosh Skariyachan has collaborated with scholars based in India, United States and Egypt. Frequent co-authors include Meghna Manjunath, Kiran S Vasist, Shumaila Kiran, Sujay Naik, Vidya Niranjan, Akshay Uttarkar, Dharshini Gopal, Denoj Sebastian, Asma Parveen and Shweta Chakrabarti. Their work appears in journals such as Journal of Hazardous Materials, Scientific Reports and Journal of Environmental Management.
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.