Tapan Dey

66 total papers · 1.2k total citations
40 papers, 787 citations indexed

About

Tapan Dey is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Tapan Dey has authored 40 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Tapan Dey's work include Plant Pathogens and Fungal Diseases (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Tapan Dey is often cited by papers focused on Plant Pathogens and Fungal Diseases (6 papers), Plant-Microbe Interactions and Immunity (4 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). Tapan Dey collaborates with scholars based in India, Bangladesh and United States. Tapan Dey's co-authors include Jatin Kalita, Prasenjit Manna, Gang Liu, Dingyuan Jiang, Sami Banerjee, Na Xie, Huachun Cui, Rui-Ming Liu, Jing Ge and Qiana L. Matthews and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Tapan Dey

31 papers receiving 772 citations

Hit Papers

Lung Myofibroblasts Promo... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tapan Dey 280 155 110 104 94 40 787
Carlin V. Okerberg 225 0.8× 122 0.8× 149 1.4× 88 0.8× 46 0.5× 33 891
Edgar Weber 210 0.8× 115 0.7× 54 0.5× 42 0.4× 127 1.4× 28 692
Tihana Žanić‐Grubišić 269 1.0× 141 0.9× 151 1.4× 82 0.8× 94 1.0× 29 802
Yu Tian 358 1.3× 50 0.3× 92 0.8× 75 0.7× 84 0.9× 61 766
An Van Laethem 388 1.4× 85 0.5× 39 0.4× 98 0.9× 80 0.9× 27 817
Alexandra Kalogeraki 198 0.7× 66 0.4× 106 1.0× 74 0.7× 129 1.4× 52 736
Xiao Xu 272 1.0× 114 0.7× 47 0.4× 46 0.4× 90 1.0× 43 735
Qunfang Yang 307 1.1× 93 0.6× 140 1.3× 65 0.6× 29 0.3× 36 663
Feifei Huang 251 0.9× 69 0.4× 102 0.9× 65 0.6× 59 0.6× 41 769
Fábio Hecht 297 1.1× 52 0.3× 45 0.4× 68 0.7× 113 1.2× 33 836

Countries citing papers authored by Tapan Dey

Since Specialization
Citations

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

Fields of papers citing papers by Tapan Dey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapan Dey

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

All Works

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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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