Manab Deka
Impact in
- Pollution top 5%
- Microbial bioremediation and biosurfactants
- Biotechnology top 10%
Papers in
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- Plant tissue culture and regeneration 6
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- Plant-Microbe Interactions and Immunity 4
- Co-authors
- Hari Prasanna Deka Boruah (3 shared papers)Suresh Deka (2 shared papers)Rashmi Rekha Saikia (2 shared papers)Jibon Kotoky (3 shared papers)Raghuram Kandimalla (2 shared papers)İbrahim M. Banat (1 shared paper)Sanjeeb Kalita (2 shared papers)Amal Chandra Kataki (3 shared papers)
- Journals
- Journal of Medical Virology (3 papers)Tumor Biology (2 papers)Scientific Reports (1 paper)Journal of Functional Foods (1 paper)Journal of Biotechnology (1 paper)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Manab Deka
60 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 115
- Pollution 262
- Biotechnology 57
- Hepatology 42
- Molecular Biology 397
- Plant Science 221
Countries citing papers authored by Manab Deka
This map shows the geographic impact of Manab Deka'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 Manab Deka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manab Deka more than expected).
Fields of papers citing papers by Manab Deka
This network shows the impact of papers produced by Manab Deka. 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 Manab Deka. The network helps show where Manab Deka may publish in the future.
Co-authors
The 25 scholars most cited alongside Manab Deka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 136 | |
| 2 | 2015 | 105 | |
| 3 | 2015 | 92 | |
| 4 | 2011 | 84 | |
| 5 | 2011 | 76 | |
| 6 | 2016 | 62 | |
| 7 | 2018 | 54 | |
| 8 | 2011 | 50 | |
| 9 | 2015 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2017 | 32 | |
| 12 | 2009 | 32 | |
| 13 | 2014 | 31 | |
| 14 | 2014 | 29 | |
| 15 | 2019 | 25 | |
| 16 | 2012 | 21 | |
| 17 | 2014 | 21 | |
| 18 | Promoter region polymorphism & expression profile of toll like receptor-3 (TLR-3) gene in chronic hepatitis C virus (HCV) patients from India. | 2011 | 18 |
| 19 | 2018 | 18 | |
| 20 | 2016 | 17 |
About Manab Deka
Manab Deka is a scholar working on Molecular Biology, Plant Science, Epidemiology, Pollution and Hepatology, having authored 64 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (6 papers), Plant tissue culture and regeneration (6 papers), Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (4 papers), Plant-Microbe Interactions and Immunity (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Transgenic Plants and Applications (4 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Pollution (262 citations), Biotechnology (57 citations), Hepatology (42 citations), Molecular Biology (397 citations) and Plant Science (221 citations). Manab Deka has collaborated with scholars based in India, United States and China. Frequent co-authors include Hari Prasanna Deka Boruah, Suresh Deka, Rashmi Rekha Saikia, Jibon Kotoky, Raghuram Kandimalla, İbrahim M. Banat, Sanjeeb Kalita, Amal Chandra Kataki, Sudripta Das and Harvinder Singh. Their work appears in journals such as Journal of Medical Virology, Tumor Biology, Scientific Reports, Journal of Functional Foods and Journal of Biotechnology.
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.