Sarmistha Banerjee

1.3k citations
27 papers · 1.1k indexed · h-index 12

Sarmistha Banerjee

26 papers receiving 1.0k citations

Peers

Sarmistha Banerjee
Comparison fields: 5 of 108
  • Applied Microbiology and Biotechnology 31
  • Cancer Research 198
  • Molecular Biology 627
  • Psychiatry and Mental health 136
  • Biochemistry 53
Replace Michael G. Backlund with:
Michael G. Backlund United States
Debra L. Bemis United States
Bedia Çakmakoğlu Türkiye
Haruki Kato Japan
Shigehiko Mukai Japan
Chien‐shan Cheng China
Vitale Del Vecchio Italy
Fangfang Liu China
Karen Holloway United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Sarmistha Banerjee

Since Specialization
Citations

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

Fields of papers citing papers by Sarmistha Banerjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20214
3 20208
4 2019118
5 20159
6 20139
7 201218
8 20128
9 201188
10 201067
11 200914
12 2009154
13 2008316
14 200798
15
Black tea polyphenols restrict benzopyrene-induced mouse lung cancer progression through inhibition of Cox-2 and induction of caspase-3 expression.
200720
16 200616
17 20066
18 200634
19 200511
20 19953

About Sarmistha Banerjee

Sarmistha Banerjee is a scholar working on Applied Microbiology and Biotechnology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Genetic Syndromes and Imprinting (4 papers), Immune Cell Function and Interaction (3 papers), Diet and metabolism studies (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), T-cell and B-cell Immunology (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (31 citations), Cancer Research (198 citations) and Molecular Biology (627 citations). Sarmistha Banerjee has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Domenico Coppola, Eric B. Haura, Wasia Rizwani, Srikumar Chellappan, S. Rastogi, Michelle Kovacs, Sukta Das, Piyali Dasgupta, Smitha Pillai and Rebecca K. Davis. Their work appears in journals such as Genes & Development, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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