Tapash Dasgupta

1.7k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Tapash Dasgupta is a scholar working on Plant Science, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Tapash Dasgupta has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 6 papers in Pollution and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Tapash Dasgupta's work include Genetics and Plant Breeding (15 papers), Sesame and Sesamin Research (14 papers) and Rice Cultivation and Yield Improvement (12 papers). Tapash Dasgupta is often cited by papers focused on Genetics and Plant Breeding (15 papers), Sesame and Sesamin Research (14 papers) and Rice Cultivation and Yield Improvement (12 papers). Tapash Dasgupta collaborates with scholars based in India, United Kingdom and Bangladesh. Tapash Dasgupta's co-authors include Adam H. Price, Andrew A. Meharg, Gareth J. Norton, Md. Rafiqul Islam, S. P. McGrath, Fang‐Jie Zhao, Yong‐Guan Zhu, Claire Deacon, Paul N. Williams and Jacqueline L. Stroud and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Tapash Dasgupta

50 papers receiving 1.3k citations

Hit Papers

Variation in Rice Cadmium Related to Human Exposure 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tapash Dasgupta India 16 688 620 437 380 130 55 1.3k
Shofiqul Islam Bangladesh 18 460 0.7× 809 1.3× 915 2.1× 624 1.6× 86 0.7× 42 1.4k
J. F. Japan 11 1.3k 1.9× 711 1.1× 777 1.8× 240 0.6× 83 0.6× 11 1.9k
Mahmud Hossain Bangladesh 18 445 0.6× 403 0.7× 436 1.0× 247 0.7× 20 0.2× 39 1.0k
Sanjay Dwivedi India 16 758 1.1× 318 0.5× 327 0.7× 146 0.4× 50 0.4× 39 1.1k
Akimasa Sasaki Japan 9 2.0k 2.8× 743 1.2× 93 0.2× 169 0.4× 114 0.9× 10 2.2k
Ana G. L. Assunção Netherlands 19 1.8k 2.6× 732 1.2× 149 0.3× 84 0.2× 147 1.1× 26 2.2k
Fawad Ali Pakistan 18 472 0.7× 219 0.4× 212 0.5× 114 0.3× 37 0.3× 51 985
Zhenyan He China 16 519 0.8× 356 0.6× 266 0.6× 133 0.3× 71 0.5× 26 889
Ryuichi Takahashi Japan 15 2.0k 2.9× 780 1.3× 61 0.1× 154 0.4× 136 1.0× 22 2.2k
Daisei Ueno Japan 22 2.7k 4.0× 1.0k 1.6× 92 0.2× 182 0.5× 201 1.5× 33 3.1k

Countries citing papers authored by Tapash Dasgupta

Since Specialization
Citations

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

Fields of papers citing papers by Tapash Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapash Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of Tapash Dasgupta. A scholar is included among the top collaborators of Tapash Dasgupta 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 Tapash Dasgupta. Tapash Dasgupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chakraborty, S. K., Alok Kumar, Jyoti Kumari, et al.. (2024). Genetic diversity analysis in maize (Zea mays L.) germplasm based on yield and yield attributing characters. International Journal of Advanced Biochemistry Research. 8(12S). 1093–1098. 1 indexed citations
2.
Dasgupta, Tapash, et al.. (2023). Submergence Tolerance in Rice (Oryza sativa L.) Genotypes at the Seedling Stage: A Combined Approach of Morphological and Molecular Characterization. Agricultural Science Digest - A Research Journal. 1 indexed citations
3.
Dasgupta, Tapash, et al.. (2020). Comparison of Start Codon Targeted (SCoT) and EST-SSR markers in sesame. Journal of Oilseeds Research. 37(Specialissue). 1 indexed citations
4.
Dasgupta, Tapash, et al.. (2018). Genetic diversity computation in sesame genotypes using morphological traits and genic SSR markers. Indian Journal of Genetics and Plant Breeding (The). 78(3). 4 indexed citations
5.
Dasgupta, Tapash, et al.. (2018). CHARACTERIZATION OF SOME INDIAN SESAME (Sesamum indicum L.) CULTIVARS THROUGH SOLUBLE SEED STORAGE PROTEIN MARKERS. Journal of Experimental Biology and Agricultural Sciences. 6(1). 243–248. 3 indexed citations
6.
Dasgupta, Tapash, et al.. (2016). Evaluation of Some Popular Rice Genotypes with Special Emphasis on Zinc, Iron and Protein Content. International Journal of Scientific and Research Publications. 6(7). 2 indexed citations
7.
Dasgupta, Tapash, et al.. (2014). Induced genetic variability, heritability and genetic advance in sesame (Sesamum indicum L.).. SABRAO Journal of Breeding and Genetics. 46(1). 21–33. 8 indexed citations
8.
Begum, Twahira & Tapash Dasgupta. (2014). Genetic variability estimates in induced population of sesame (Sesamum indicum). The Indian Journal of Agricultural Sciences. 84(5). 1 indexed citations
9.
Das, Pritam, et al.. (2013). Variability of cooking and nutritive qualities in some popular rice varieties of West Bengal. ORYZA- An International Journal on Rice. 50(4). 379–385. 1 indexed citations
10.
Dasgupta, Tapash, et al.. (2013). Association Of Heterosis With Combining Ability And Genetic Divergence In Sesame (Sesamum Indicum L.). International journal of scientific and technology research. 2(12). 307–314. 1 indexed citations
11.
Das, Pritam, et al.. (2013). Molecular characterization of rice genotypes using microsatellite markers. ORYZA- An International Journal on Rice. 50(1). 35–40.
12.
Das, Pritam, et al.. (2013). Evaluation Of Genotypes For Fertility Restoring And Maintaining Behaviors In Rice (Oryza Sativa L.). International journal of scientific and technology research. 2(11). 228–232. 6 indexed citations
13.
Dasgupta, Tapash, et al.. (2005). Genetic diversity of horsegram germplasms. Legume Research - An International Journal. 28(3). 166–171. 1 indexed citations
14.
Dasgupta, Tapash, Shahid Akhtar Hossain, Andrew A. Meharg, & Adam H. Price. (2004). An arsenate tolerance gene on chromosome 6 of rice. New Phytologist. 163(1). 45–49. 68 indexed citations
15.
Dasgupta, Tapash, et al.. (2001). Combining ability in blackgram. Indian Journal of Genetics and Plant Breeding (The). 61(2). 170–171. 8 indexed citations
16.
Hazra, Pranab, et al.. (2000). Study on the relationship between protein content and pod yield in cowpea.. 44. 59–62. 3 indexed citations
17.
Chattopadhyay, Amitabha, et al.. (1996). Evaluation of genotypes for agronomic and morphological characters in vegetable cowpea. Indian Journal of Horticulture. 53(4). 304–308. 2 indexed citations
18.
Singh, Onkar, et al.. (1992). Genetic analysis of agronomic characters in chickpea. Theoretical and Applied Genetics. 83(8). 956–962. 22 indexed citations
19.
Dasgupta, Tapash, et al.. (1988). Diallel Analysis in Wheat. Indian Journal of Genetics and Plant Breeding (The). 48(2). 167–170. 6 indexed citations
20.
Dasgupta, Tapash. (1984). Genetic divergence in wheat. 7 indexed citations

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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