Anupam J. Das
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 7
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- Antibiotic Use and Resistance 3
- Endocrinology top 10%
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing 3
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- Plant Disease Management Techniques 4
- Plant Disease Resistance and Genetics 3
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- Genomics and Phylogenetic Studies 4
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- Synthesis and biological activity 3
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- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Purva MathurArti KapilBijayini BeheraDurairaj SekarFrank M. AarestrupSamir Kumar‐SinghSurbhi Malhotra‐KumarHerman Goossens
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Journal of Clinical Microbiology (1 paper)
- Partner nations
- IndiaUnited KingdomBelgium
In The Last Decade
Anupam J. Das
26 papers receiving 508 citations
Peers
Comparison fields: 5 of 75
- Molecular Medicine 217
- Applied Microbiology and Biotechnology 71
- Endocrinology 68
- Clinical Biochemistry 57
- Pollution 63
Countries citing papers authored by Anupam J. Das
This map shows the geographic impact of Anupam J. 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 Anupam J. Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupam J. Das more than expected).
Fields of papers citing papers by Anupam J. Das
This network shows the impact of papers produced by Anupam J. 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 Anupam J. Das. The network helps show where Anupam J. Das may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anupam J. 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 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 7 | |
| 6 | 2022 | 11 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 3 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 37 | |
| 14 | 2017 | 33 | |
| 15 | 2015 | 118 | |
| 16 | Adaptation to high ethanol reveals complex evolutionary pathways | 2015 | 1 |
| 17 | 2010 | 58 | |
| 18 | Ertapenem susceptibility of extended spectrum beta-lactamase-producing Enterobacteriaceae at a tertiary care centre in India. | 2009 | 15 |
| 19 | 2008 | 68 | |
| 20 | 2006 | 3 |
About Anupam J. Das
Anupam J. Das is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 27 papers that have together received 535 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Plant Disease Management Techniques (4 papers), Genomics and Phylogenetic Studies (4 papers), Synthesis and biological activity (3 papers), Antibiotic Use and Resistance (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Plant Disease Resistance and Genetics (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Molecular Medicine (217 citations), Applied Microbiology and Biotechnology (71 citations) and Endocrinology (68 citations). Anupam J. Das has collaborated with scholars based in India, United Kingdom and Belgium. Frequent co-authors include Purva Mathur, Arti Kapil, Bijayini Behera, Durairaj Sekar, Frank M. Aarestrup, Samir Kumar‐Singh, Surbhi Malhotra‐Kumar, Herman Goossens, Guy Cochrane and Basil Britto Xavier. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Microbiology.
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.