Payal Mazumder
- Pollution top 1%
- Water Science and Technology top 2%
- Biomedical Engineering top 10%
- Health, Toxicology and Mutagenesis top 5%
- Industrial and Manufacturing Engineering top 2%
- Co-authors
- Manish KumarAnindita GogoiAjay S. KalamdhadVinay Kumar TyagiTushara ChamindaAlicia Kyoungjin AnIzharul HaqMeena Khwairakpam
- Topics
- SARS-CoV-2 detection and testing (9 papers)SARS-CoV-2 and COVID-19 Research (7 papers)Pharmaceutical and Antibiotic Environmental Impacts (7 papers)
In The Last Decade
Payal Mazumder
34 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Pollution 645
- Water Science and Technology 423
- Biomedical Engineering 364
- Health, Toxicology and Mutagenesis 292
- Industrial and Manufacturing Engineering 232
Countries citing papers authored by Payal Mazumder
This map shows the geographic impact of Payal Mazumder'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 Payal Mazumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Payal Mazumder more than expected).
Fields of papers citing papers by Payal Mazumder
This network shows the impact of papers produced by Payal Mazumder. 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 Payal Mazumder. The network helps show where Payal Mazumder may publish in the future.
Co-authorship network of co-authors of Payal Mazumder
This figure shows the co-authorship network connecting the top 25 collaborators of Payal Mazumder. A scholar is included among the top collaborators of Payal Mazumder 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 Payal Mazumder. Payal Mazumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 18 | |
| 3 | 6 | |
| 4 | 23 | |
| 5 | 17 | |
| 6 | 13 | |
| 7 | 29 | |
| 8 | 29 | |
| 9 | 1 | |
| 10 | 37 | |
| 11 | 64 | |
| 12 | 18 | |
| 13 | 80 | |
| 14 | Potential of dumpsite bacterial isolate in producing polyhydroxybutyrate under stress prone environment | 2 |
| 15 | 194 | |
| 16 | 78 | |
| 17 | 20 | |
| 18 | 35 | |
| 19 | 14 | |
| 20 | 55 |
About Payal Mazumder
Payal Mazumder is a scholar working on Pollution, Applied Microbiology and Biotechnology and Industrial and Manufacturing Engineering, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (9 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Pharmaceutical and Antibiotic Environmental Impacts (7 papers). The work is most often cited by research in Pollution (645 citations), Water Science and Technology (423 citations) and Industrial and Manufacturing Engineering (232 citations). Payal Mazumder has collaborated with scholars based in India, Japan and Mexico. Frequent co-authors include Manish Kumar, Anindita Gogoi, Ajay S. Kalamdhad, Vinay Kumar Tyagi, Tushara Chaminda, Alicia Kyoungjin An, Izharul Haq, Meena Khwairakpam, Ritusmita Goswami and Kaling Taki. Their work appears in journals such as Environmental Science & Technology, The Science of The Total Environment and Journal of Hazardous Materials.
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.