Mousumi Bose
- Physiology top 2%
- Molecular Biology
- Pathology and Forensic Medicine top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Blandine LaferrèreBlanca OlivánJihyeung JuChung S. YangJoshua D. LambertSue A. ShapsesKenneth R. ReuhlJúlio Teixeira
- Topics
- Tea Polyphenols and Effects (9 papers)Diet and metabolism studies (7 papers)Consumer Behavior in Brand Consumption and Identification (6 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Mousumi Bose
39 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Physiology 836
- Molecular Biology 691
- Pathology and Forensic Medicine 572
- Surgery 507
- Endocrinology, Diabetes and Metabolism 363
Countries citing papers authored by Mousumi Bose
This map shows the geographic impact of Mousumi Bose'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 Mousumi Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mousumi Bose more than expected).
Fields of papers citing papers by Mousumi Bose
This network shows the impact of papers produced by Mousumi Bose. 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 Mousumi Bose. The network helps show where Mousumi Bose may publish in the future.
Co-authorship network of co-authors of Mousumi Bose
This figure shows the co-authorship network connecting the top 25 collaborators of Mousumi Bose. A scholar is included among the top collaborators of Mousumi Bose based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mousumi Bose. Mousumi Bose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 43 | |
| 7 | 3 | |
| 8 | 177 | |
| 9 | 9 | |
| 10 | 3 | |
| 11 | 82 | |
| 12 | 76 | |
| 13 | 97 | |
| 14 | 254 | |
| 15 | 41 | |
| 16 | 57 | |
| 17 | The Major Green Tea Polyphenol, (-)-Epigallocatechin-3-Gallate, Inhibits Obesity, Metabolic Syndrome, and Fatty Liver Disease in High-Fat–Fed Micebreakdown → | 505 |
| 18 | Inhibition of intestinal tumorigenesis in ApcMin/+ mice by (-)-epigallocatechin-3-gallate (EGCG), (-)-epicatechin-3-gallate (ECG), and polyphenon E (PPE) | 2 |
| 19 | Inhibition of intestinal tumorigenesis in Apc Min/+ mice by voluntary exercise and its combination with (-) -epigallocatechin-3-gallate consumption. | 0 |
| 20 | 3 |
About Mousumi Bose
Mousumi Bose is a scholar working on Applied Microbiology and Biotechnology, Marketing and Pathology and Forensic Medicine, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (9 papers), Diet and metabolism studies (7 papers) and Consumer Behavior in Brand Consumption and Identification (6 papers). The work is most often cited by research in Biochemistry (345 citations), Applied Microbiology and Biotechnology (94 citations) and Biological Psychiatry (85 citations). Mousumi Bose has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Blandine Laferrère, Blanca Oliván, Jihyeung Ju, Chung S. Yang, Joshua D. Lambert, Sue A. Shapses, Kenneth R. Reuhl, Júlio Teixeira, Sara Arias and Jungil Hong. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Annals of Surgery.
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.