Dona Sinha

56 papers receiving 1.5k citations

Peers

Dona Sinha
Comparison fields: 5 of 121
  • Molecular Medicine 175
  • Environmental Chemistry 351
  • Geriatrics and Gerontology 84
  • Applied Microbiology and Biotechnology 43
  • Biochemistry 136
Replace Madhumita Roy with:
Madhumita Roy India
Poyil Pratheeshkumar United States
Amit Budhraja United States
Yen‐Chou Chen Taiwan
Gayle A. Orner United States
Chengyan Geng China
J.M.M.J.G. Aarts Netherlands
Fu‐An Chen Taiwan
Franziska Ferk Austria
Isao Matsui‐Yuasa Japan
Dona Sinha relative to Madhumita Roy India Madhumita Roy's profile →
Citations per field
00.5×3.7×
Madhumita Roy · 1×
Citations per year

Countries citing papers authored by Dona Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Dona Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016213
2 2019106
3 2012104
4 201099
5 200395
6 202191
7 202089
8 201571
9 201265
10 201051
11 201048
12 201738
13 201934
14 201433
15 201732
16 202329
17 201429
18 201127
19
Protective effect of dietary phytochemicals against arsenite induced genotoxicity in mammalian V79 cells.
200825
20 201824

About Dona Sinha

Dona Sinha is a scholar working on Molecular Biology, Environmental Chemistry, Health, Toxicology and Mutagenesis, Pathology and Forensic Medicine and Cancer Research, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (17 papers), Heavy Metal Exposure and Toxicity (10 papers), Genomics, phytochemicals, and oxidative stress (8 papers), Tea Polyphenols and Effects (7 papers), Air Quality and Health Impacts (5 papers), Cancer Cells and Metastasis (5 papers), Phytochemicals and Antioxidant Activities (5 papers) and Heavy Metals in Plants (4 papers). The work is most often cited by research in Molecular Medicine (175 citations), Environmental Chemistry (351 citations), Geriatrics and Gerontology (84 citations), Applied Microbiology and Biotechnology (43 citations) and Biochemistry (136 citations). Dona Sinha has collaborated with scholars based in India, United States and Iran. Frequent co-authors include Anupam Bishayee, Jaydip Biswas, Priyanka Prasad, Madhumita Roy, Maqsood Siddiqi, Priyanka Saha, Sutapa Mukherjee, Bharat B. Aggarwal, Bokyung Sung and Nabanita Chatterjee. Their work appears in journals such as Journal of Environmental Pathology Toxicology and Oncology, Seminars in Cancer Biology, Cellular and Molecular Life Sciences, Environmental Science and Pollution Research and Cancers.

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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