Girish Chandra Dash
- Infectious Diseases top 10%
- Modeling and Simulation top 10%
- Epidemiology
- Radiology, Nuclear Medicine and Imaging
- Health
- Co-authors
- Sanghamitra PatiDebdutta BhattacharyaDebaprasad ParaiKrushna Chandra SahooPranab MahapatraMatrujyoti PattnaikSrikanta KanungoMalik Parmar
- Topics
- SARS-CoV-2 and COVID-19 Research (9 papers)SARS-CoV-2 detection and testing (8 papers)COVID-19 Clinical Research Studies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaFrontiers in MicrobiologyInternational Journal of Environmental Research and Public Health
- Partner nations
- IndiaSwitzerlandNetherlands
In The Last Decade
Girish Chandra Dash
22 papers receiving 200 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 124
- Modeling and Simulation 27
- Epidemiology 26
- Radiology, Nuclear Medicine and Imaging 23
- Health 21
Countries citing papers authored by Girish Chandra Dash
This map shows the geographic impact of Girish Chandra Dash'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 Girish Chandra Dash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Girish Chandra Dash more than expected).
Fields of papers citing papers by Girish Chandra Dash
This network shows the impact of papers produced by Girish Chandra Dash. 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 Girish Chandra Dash. The network helps show where Girish Chandra Dash may publish in the future.
Co-authorship network of co-authors of Girish Chandra Dash
This figure shows the co-authorship network connecting the top 25 collaborators of Girish Chandra Dash. A scholar is included among the top collaborators of Girish Chandra Dash 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 Girish Chandra Dash. Girish Chandra Dash 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 | 2 | |
| 3 | 9 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 17 | |
| 16 | 14 | |
| 17 | 13 | |
| 18 | 36 | |
| 19 | 10 | |
| 20 | 13 |
About Girish Chandra Dash
Girish Chandra Dash is a scholar working on General Dentistry, Modeling and Simulation and Infectious Diseases, having authored 25 papers that have together received 208 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (8 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (124 citations), Modeling and Simulation (27 citations) and General Dentistry (6 citations). Girish Chandra Dash has collaborated with scholars based in India, Switzerland and Netherlands. Frequent co-authors include Sanghamitra Pati, Debdutta Bhattacharya, Debaprasad Parai, Krushna Chandra Sahoo, Pranab Mahapatra, Matrujyoti Pattnaik, Srikanta Kanungo, Malik Parmar, Jaya Singh Kshatri and Jyotirmayee Turuk. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Microbiology and International Journal of Environmental Research and Public Health.
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.