Maya Raman
Impact in
- Food Science top 5%
- Probiotics and Fermented Foods
- Aquatic Science top 5%
- Seaweed-derived Bioactive Compounds
Papers in
- Food Science 13
- Food and Agricultural Sciences 3
-
- Food composition and properties 9
- Microbial Metabolites in Food Biotechnology 3
- Co-authors
- Mukesh Doble (8 shared papers)Padma Ambalam (4 shared papers)Ravi Kiran Purama (2 shared papers)Charmy Kothari (2 shared papers)B. R. M. Vyas (2 shared papers)Sheetal Pithva (1 shared paper)Kanthi Kiran Kondepudi (1 shared paper)J. M. Dave (1 shared paper)
- Journals
- Starch - Stärke (2 papers)Journal of Applied Phycology (2 papers)Gut Microbes (2 papers)Food Bioscience (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaSwedenUnited States
In The Last Decade
Maya Raman
28 papers receiving 710 citations
Peers
Comparison fields: 5 of 106
- Food Science 256
- Aquatic Science 90
- Nutrition and Dietetics 174
- Biotechnology 66
- Biomaterials 65
Countries citing papers authored by Maya Raman
This map shows the geographic impact of Maya Raman'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 Maya Raman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Raman more than expected).
Fields of papers citing papers by Maya Raman
This network shows the impact of papers produced by Maya Raman. 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 Maya Raman. The network helps show where Maya Raman may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Raman, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 181 | |
| 2 | 2013 | 176 | |
| 3 | 2015 | 61 | |
| 4 | 2017 | 60 | |
| 5 | 2015 | 36 | |
| 6 | 2016 | 31 | |
| 7 | 2015 | 30 | |
| 8 | 2023 | 21 | |
| 9 | 2011 | 17 | |
| 10 | 2014 | 17 | |
| 11 | Correlation between BOD, COD and TOC | 2003 | 12 |
| 12 | 2012 | 11 | |
| 13 | 2012 | 10 | |
| 14 | 2014 | 10 | |
| 15 | 2020 | 8 | |
| 16 | 2023 | 7 | |
| 17 | Effect of Textile Dye Industry Effluent on the Nutritive Value of Fresh Water Female Crab Spiralothelphusa hydrodroma (Herbst) | 2009 | 7 |
| 18 | 2015 | 7 | |
| 19 | 2023 | 5 | |
| 20 | 2019 | 5 |
About Maya Raman
Maya Raman is a scholar working on Food Science, Nutrition and Dietetics, Biomaterials, Plant Science and Aquatic Science, having authored 34 papers that have together received 730 indexed citations. Recurring topics across this work include Food composition and properties (9 papers), Nanocomposite Films for Food Packaging (4 papers), GABA and Rice Research (4 papers), Seaweed-derived Bioactive Compounds (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), biodegradable polymer synthesis and properties (3 papers), Food and Agricultural Sciences (3 papers) and Collagen: Extraction and Characterization (3 papers). The work is most often cited by research in Food Science (256 citations), Aquatic Science (90 citations), Nutrition and Dietetics (174 citations), Biotechnology (66 citations) and Biomaterials (65 citations). Maya Raman has collaborated with scholars based in India, Sweden and United States. Frequent co-authors include Mukesh Doble, Padma Ambalam, Ravi Kiran Purama, Charmy Kothari, B. R. M. Vyas, Sheetal Pithva, Kanthi Kiran Kondepudi, J. M. Dave, Yan Zhang and Chunjiang An. Their work appears in journals such as Starch - Stärke, Journal of Applied Phycology, Gut Microbes, Food Bioscience and Scientific Reports.
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.