Ashis Datta

2.5k citations
92 papers · 2.0k · h-index 23

Impact in

    • Food Drying and Modeling
    • Microencapsulation and Drying Processes
    • Polysaccharides Composition and Applications
    • Food composition and properties

Papers in

Ashis Datta

88 papers receiving 1.9k citations

Peers

Ashis Datta
Comparison fields: 5 of 149
  • Food Science 646
  • Nutrition and Dietetics 309
  • Geophysics 218
  • Biochemistry 76
  • Biotechnology 108
Replace Toshinori Kimura with:
Toshinori Kimura Japan
Alex Grant United States
Lewis Greenspan United States
Paola Russo Italy
Marie‐Françoise Devaux France
Jack Legrand France
Ruiling Li China
Jiandong Wang China
Xu Zhou China
Yutaka Yamada Japan
Ashis Datta relative to Toshinori Kimura Japan Toshinori Kimura's profile →
Citations per field
00.5×1.5×
Toshinori Kimura · 1×
Citations per year

Countries citing papers authored by Ashis Datta

Since Specialization
Citations

This map shows the geographic impact of Ashis Datta'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 Ashis Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashis Datta more than expected).

Fields of papers citing papers by Ashis Datta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashis Datta. 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 Ashis Datta. The network helps show where Ashis Datta may publish in the future.

Co-authors

The 25 scholars most cited alongside Ashis Datta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashis Datta Line = papers co-authored together Ashis Datta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007312
2 1971182
3 2003125
4 1996110
5 202097
6 202083
7 199680
8 200277
9 198665
10 201856
11 199951
12 201943
13 199939
14 202139
15 199438
16
5-Hydroxytryptamine-inhibiting property of Feverfew: role of parthenolide content.
200035
17 201235
18 200434
19 200331
20 201031

About Ashis Datta

Ashis Datta is a scholar working on Food Science, Biomaterials, Pathology and Forensic Medicine, Mechanics of Materials and Computational Mechanics, having authored 92 papers that have together received 2.0k indexed citations. Recurring topics across this work include Food Drying and Modeling (10 papers), Phytochemicals and Antioxidant Activities (8 papers), Tea Polyphenols and Effects (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Freezing and Crystallization Processes (5 papers), Meat and Animal Product Quality (5 papers), Magnetic and Electromagnetic Effects (5 papers) and Clay minerals and soil interactions (5 papers). The work is most often cited by research in Food Science (646 citations), Nutrition and Dietetics (309 citations), Geophysics (218 citations), Biochemistry (76 citations) and Biotechnology (108 citations). Ashis Datta has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Arpita Mondal, Irfan Ahmad Ansari, V. V. Sastri, Laxminarayan Bhandari, A. T. R. Raju, Robert Sharman, M. G. Wurtele, Divyasree Arepally, Ravula Sudharshan Reddy and S. K. Som. Their work appears in journals such as Journal of Food Engineering, Journal of Food Process Engineering, Journal of Food Processing and Preservation, Journal of the Atmospheric Sciences and Applied Thermal Engineering.

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.

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