Asim Bikas Das
- Electrochemistry top 10%
- Bioengineering top 10%
-
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 5
- RNA Research and Splicing 5
- Advanced biosensing and bioanalysis techniques 3
- Biomedical Engineering top 10%
-
- Glioma Diagnosis and Treatment 3
-
- Cardiovascular Function and Risk Factors 3
-
- Ferroptosis and cancer prognosis 3
-
- Computational Drug Discovery Methods 3
- Co-authors
- Urmila SaxenaPradipta PurkayasthaSubit K. SahaSurajit DharaAnil Kumar PandeySaurav MallikTapas SiBiplab Bose
- Journals
- Scientific Reports (1 paper)Biochemical and Biophysical Research Communications (1 paper)Biosensors and Bioelectronics (2 papers)
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Asim Bikas Das
32 papers receiving 935 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Electrochemistry 58
- Bioengineering 47
- Molecular Biology 547
- Physical and Theoretical Chemistry 67
- Biomedical Engineering 279
Countries citing papers authored by Asim Bikas Das
This map shows the geographic impact of Asim Bikas Das'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 Asim Bikas Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asim Bikas Das more than expected).
Fields of papers citing papers by Asim Bikas Das
This network shows the impact of papers produced by Asim Bikas Das. 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 Asim Bikas Das. The network helps show where Asim Bikas Das may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Asim Bikas Das, 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 | 2024 | 6 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 2 | |
| 8 | 2020 | 7 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 4 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 31 | |
| 14 | 2019 | 16 | |
| 15 | 2017 | 29 | |
| 16 | 2016 | 25 | |
| 17 | 2015 | 96 | |
| 18 | 2011 | 15 | |
| 19 | Prediction and stratification of the future cardiovascular arrhythmic events: signal averaged electrocardiography versus ejection fraction. | 2010 | 2 |
| 20 | 2008 | 19 |
About Asim Bikas Das
Asim Bikas Das is a scholar working on Periodontics, Biological Psychiatry and Genetics, having authored 35 papers that have together received 953 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (5 papers), RNA Research and Splicing (5 papers), Glioma Diagnosis and Treatment (3 papers), Cardiovascular Function and Risk Factors (3 papers), Ferroptosis and cancer prognosis (3 papers), Computational Drug Discovery Methods (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Electrochemistry (58 citations), Bioengineering (47 citations) and Molecular Biology (547 citations). Asim Bikas Das has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Urmila Saxena, Pradipta Purkayastha, Subit K. Saha, Surajit Dhara, Anil Kumar Pandey, Saurav Mallik, Tapas Si, Biplab Bose, Guruprasad R. Medigeshi and Zhongming Zhao. Their work appears in journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Biosensors and Bioelectronics.
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.