Partha Rakshit
- Infectious Diseases top 5%
- Molecular Biology
- Animal Science and Zoology top 10%
- Modeling and Simulation top 10%
- Health
- Co-authors
- Sarah CherianPragya D. YadavMousumi DasPriya AbrahamSujeet Kumar SinghSamiran PandaSantosh JadhavVarsha Potdar
- Topics
- SARS-CoV-2 and COVID-19 Research (3 papers)Antifungal resistance and susceptibility (2 papers)SARS-CoV-2 detection and testing (2 papers)
- Journals
- The Journal of Infectious DiseasesDiagnostic Microbiology and Infectious DiseaseMicroorganisms
- Partner nations
- IndiaUnited KingdomJapan
In The Last Decade
Partha Rakshit
6 papers receiving 508 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Infectious Diseases 467
- Molecular Biology 131
- Animal Science and Zoology 79
- Modeling and Simulation 38
- Health 28
Countries citing papers authored by Partha Rakshit
This map shows the geographic impact of Partha Rakshit'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 Partha Rakshit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Partha Rakshit more than expected).
Fields of papers citing papers by Partha Rakshit
This network shows the impact of papers produced by Partha Rakshit. 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 Partha Rakshit. The network helps show where Partha Rakshit may publish in the future.
Co-authorship network of co-authors of Partha Rakshit
This figure shows the co-authorship network connecting the top 25 collaborators of Partha Rakshit. A scholar is included among the top collaborators of Partha Rakshit 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 Partha Rakshit. Partha Rakshit is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 72 | |
| 3 | SARS-CoV-2 Spike Mutations, L452R, T478K, E484Q and P681R, in the Second Wave of COVID-19 in Maharashtra, Indiabreakdown → | 438 |
| 4 | Assessment of Knowledge, Attitude, and Practices Towards Occupational Injuries Infections of Healthcare Workers at Tertiary Care Hospital | 2 |
| 5 | Prevalence of Inducible clindamycin resistance in Staphylococcus aureus at a tertiary care hospital: Implications for clinical therapy | 3 |
| 6 | 1 |
About Partha Rakshit
Partha Rakshit is a scholar working on Infectious Diseases, Otorhinolaryngology and Radiological and Ultrasound Technology, having authored 6 papers that have together received 517 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Antifungal resistance and susceptibility (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Infectious Diseases (467 citations), Modeling and Simulation (38 citations) and Animal Science and Zoology (79 citations). Partha Rakshit has collaborated with scholars based in India, United Kingdom and Japan. Frequent co-authors include Sarah Cherian, Pragya D. Yadav, Mousumi Das, Priya Abraham, Sujeet Kumar Singh, Samiran Panda, Santosh Jadhav, Varsha Potdar, Nivedita Gupta and Seiya Ozono. Their work appears in journals such as The Journal of Infectious Diseases, Diagnostic Microbiology and Infectious Disease and Microorganisms.
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.