Moitreyi Das

31 papers receiving 563 citations

Peers

Moitreyi Das
Comparison fields: 5 of 98
  • Biochemistry 80
  • Complementary and alternative medicine 66
  • Endocrinology, Diabetes and Metabolism 122
  • Pathology and Forensic Medicine 111
  • Applied Microbiology and Biotechnology 10
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Elisa Vivoli Italy
Wai-Hung Yuen Hong Kong
Kamatham A. Naidu United States
Hidehiko Beppu Japan
P. Venkataraman India
Mohammad Yasin Zamanian Iran
Teodoro Vargas Spain
Quynh-Hoa Tran-Thi Germany
Yuko Muto Japan
Xiaohui L. Wang United States
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Citations per year

Countries citing papers authored by Moitreyi Das

Since Specialization
Citations

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

Fields of papers citing papers by Moitreyi Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995158
2 200179
3 201562
4 197949
5 200347
6 197931
7 197827
8
Studies with black tea and its constituents on leukemic cells and cell lines.
200225
9 201622
10 201816
11 199912
12 201711
13 200310
14 201510
15 199410
16 199810
17 20228
18 20157
19 20216
20 19915

About Moitreyi Das

Moitreyi Das is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 31 papers that have together received 630 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Tea Polyphenols and Effects (4 papers), Receptor Mechanisms and Signaling (3 papers), Hypothalamic control of reproductive hormones (3 papers), Natural Antidiabetic Agents Studies (3 papers), Fatty Acid Research and Health (3 papers), Neuropeptides and Animal Physiology (3 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Biochemistry (80 citations), Complementary and alternative medicine (66 citations), Endocrinology, Diabetes and Metabolism (122 citations), Pathology and Forensic Medicine (111 citations) and Applied Microbiology and Biotechnology (10 citations). Moitreyi Das has collaborated with scholars based in India, United States and Japan. Frequent co-authors include J. R. Vedasiromoni, A. Gomes, Dilip Ganguly, Sumantra Das, Kusumika Gharami, P. Sur, Shila Elizabeth Besra, Niranjan P. Sahu, Sube Banerjee and Partha Chattopadhyay. Their work appears in journals such as Phytotherapy Research, Life Sciences, Molecular Neurobiology, Amino Acids and Journal of Experimental Zoology Part A Ecological and Integrative Physiology.

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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