Tapas Das

1.6k citations
49 papers · 1.3k · h-index 19

Impact in

Papers in

    • Muscle Physiology and Disorders 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • Virus-based gene therapy research 11

Tapas Das

47 papers receiving 1.3k citations

Peers

Tapas Das
Comparison fields: 5 of 110
  • Biochemistry 252
  • Nutrition and Dietetics 224
  • Molecular Medicine 73
  • Virology 50
  • Aquatic Science 68
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Christine E. Loscher Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Tapas Das

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tapas Das, 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 Tapas Das Line = papers co-authored together Tapas Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000191
2 2000156
3 2014106
4 199884
5 199681
6 200060
7 200952
8 199548
9 199942
10 199742
11 201837
12
Randomised placebo-controlled double blind multicentric trial on efficacy and safety of Lactobacillus acidophilus LA-5 and Bifidobacterium BB-12 for prevention of antibiotic-associated diarrhoea.
201336
13 199733
14 199530
15 200728
16 202027
17 200622
18
Role of the phosphoprotein (P) in the encapsidation of presynthesized and de novo synthesized vesicular stomatitis virus RNA by the nucleocapsid protein (N) in vitro.
199220
19
Efficacy of dietary antioxidants combined with a chemotherapeutic agent on human colon cancer progression in a fluorescent orthotopic mouse model.
200919
20 202018

About Tapas Das

Tapas Das is a scholar working on Molecular Biology, Genetics, Epidemiology, Physiology and Nutrition and Dietetics, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Virology and Viral Diseases (10 papers), Lipid metabolism and biosynthesis (6 papers), Bacteriophages and microbial interactions (6 papers), Muscle Physiology and Disorders (5 papers), Fatty Acid Research and Health (5 papers), Nutrition and Health in Aging (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Biochemistry (252 citations), Nutrition and Dietetics (224 citations), Molecular Medicine (73 citations), Virology (50 citations) and Aquatic Science (68 citations). Tapas Das has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Amiya K. Banerjee, Pradip Mukerji, A Léonard, E. Bobik, Jennifer M. PARKER-BARNES, Jennifer M. Thurmond, Y. S. Huang, Lu‐Te Chuang, Paul E. Kroeger and Bishnu P. De. Their work appears in journals such as Virology, British Journal Of Nutrition, Biochemical Journal, Scientific Reports and Journal of Cellular Biochemistry.

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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