Malay Das

2.2k total citations
48 papers, 1.5k citations indexed

About

Malay Das is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Malay Das has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 13 papers in Molecular Biology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Malay Das's work include Plant Molecular Biology Research (11 papers), Bamboo properties and applications (9 papers) and Plant Taxonomy and Phylogenetics (7 papers). Malay Das is often cited by papers focused on Plant Molecular Biology Research (11 papers), Bamboo properties and applications (9 papers) and Plant Taxonomy and Phylogenetics (7 papers). Malay Das collaborates with scholars based in India, United States and Germany. Malay Das's co-authors include Tardi Tjahjadi, Amita Pal, Smritikana Dutta, Edward C. Dempsey, Kurt R. Stenmark, Anton R. Schäffner, Eric Wafula, Michael P. Timko, James H. Westwood and John I. Yoder and has published in prestigious journals such as Blood, Renewable and Sustainable Energy Reviews and PLANT PHYSIOLOGY.

In The Last Decade

Malay Das

47 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malay Das India 26 796 543 331 235 170 48 1.5k
Hyun Woo Oh South Korea 22 340 0.4× 833 1.5× 45 0.1× 273 1.2× 27 0.2× 68 1.5k
Julie Kang United States 20 1.4k 1.8× 992 1.8× 230 0.7× 65 0.3× 15 0.1× 42 2.0k
Keisuke Nonaka Japan 18 368 0.5× 421 0.8× 48 0.1× 33 0.1× 112 0.7× 89 1.2k
Kun Wang China 26 1.3k 1.6× 1.2k 2.1× 55 0.2× 209 0.9× 18 0.1× 126 2.4k
Kunpeng Li China 28 845 1.1× 974 1.8× 62 0.2× 141 0.6× 6 0.0× 128 2.2k
Song Li United States 24 1.4k 1.8× 1.3k 2.4× 54 0.2× 91 0.4× 11 0.1× 88 2.3k
Pengpeng Liu China 17 84 0.1× 343 0.6× 25 0.1× 80 0.3× 152 0.9× 64 1.3k
Ken Miura Japan 25 275 0.3× 876 1.6× 281 0.8× 325 1.4× 18 0.1× 161 2.5k
Cai Wang China 17 180 0.2× 177 0.3× 261 0.8× 72 0.3× 13 0.1× 136 1.1k
Hui Feng China 20 1.3k 1.6× 450 0.8× 28 0.1× 101 0.4× 17 0.1× 50 1.9k

Countries citing papers authored by Malay Das

Since Specialization
Citations

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

Fields of papers citing papers by Malay Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malay Das

This figure shows the co-authorship network connecting the top 25 collaborators of Malay Das. A scholar is included among the top collaborators of Malay Das 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 Malay Das. Malay Das 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, Sukanya, et al.. (2025). Identification, expression analyses of APETALA1 gene homologs in Bambusa tulda and heterologous validation of BtMADS14 in Arabidopsis thaliana. Physiology and Molecular Biology of Plants. 31(3). 389–404.
2.
Bhargavi, G., et al.. (2024). Leveraging NLP and Quantum Computing for Advanced Agricultural Solutions. 900–906. 2 indexed citations
3.
Dutta, Smritikana, et al.. (2022). Role of metabolites in flower development and discovery of compounds controlling flowering time. Plant Physiology and Biochemistry. 190. 109–118. 27 indexed citations
4.
5.
Dutta, Smritikana, Sukanya Chakraborty, Devrani Mitra, et al.. (2021). Identification and functional characterization of two bamboo FD gene homologs having contrasting effects on shoot growth and flowering. Scientific Reports. 11(1). 7849–7849. 15 indexed citations
6.
Dutta, Smritikana, et al.. (2020). Gene duplication and stress genomics in Brassicas: Current understanding and future prospects. Journal of Plant Physiology. 255. 153293–153293. 35 indexed citations
7.
Dutta, Smritikana, et al.. (2018). Identification, characterization and gene expression analyses of important flowering genes related to photoperiodic pathway in bamboo. BMC Genomics. 19(1). 190–190. 36 indexed citations
8.
Chakraborty, Sukanya, et al.. (2016). Bamboo Flowering from the Perspective of Comparative Genomics and Transcriptomics. Frontiers in Plant Science. 7. 1900–1900. 41 indexed citations
9.
Das, Malay, et al.. (2016). Expression Pattern Similarities Support the Prediction of Orthologs Retaining Common Functions after Gene Duplication Events. PLANT PHYSIOLOGY. 171(4). 2343–2357. 55 indexed citations
10.
Das, Malay, Mónica Fernández‐Aparicio, Zhenzhen Yang, et al.. (2015). Parasitic Plants <i>Striga</i> and <i>Phelipanche</i> Dependent upon Exogenous Strigolactones for Germination Have Retained Genes for Strigolactone Biosynthesis. American Journal of Plant Sciences. 6(8). 1151–1166. 12 indexed citations
11.
Zhang, Yeting, Mónica Fernández‐Aparicio, Eric Wafula, et al.. (2013). Evolution of a horizontally acquired legume gene, albumin 1, in the parasitic plant Phelipanche aegyptiaca and related species. BMC Evolutionary Biology. 13(1). 48–48. 39 indexed citations
12.
Islam, S. M. Mofijul, et al.. (2011). Dipylidium caninum in dogs and screening of fleas as possible vectors in Greater Guwahati. Journal of Veterinary Parasitology. 25(1). 76–78. 1 indexed citations
13.
Wickett, Norman J., Loren Honaas, Eric Wafula, et al.. (2011). Transcriptomes of the Parasitic Plant Family Orobanchaceae Reveal Surprising Conservation of Chlorophyll Synthesis. Current Biology. 21(24). 2098–2104. 67 indexed citations
14.
Das, Malay, Jay R. Reichman, Georg Haberer, et al.. (2009). A composite transcriptional signature differentiates responses towards closely related herbicides in Arabidopsis thaliana and Brassica napus. Plant Molecular Biology. 72(4-5). 545–556. 55 indexed citations
15.
Das, Malay, Nicole Burns, Susan J. Wilson, W. Michael Zawada, & Kurt R. Stenmark. (2008). Hypoxia exposure induces the emergence of fibroblasts lacking replication repressor signals of PKC  in the pulmonary artery adventitia. Cardiovascular Research. 78(3). 440–448. 40 indexed citations
16.
Das, Malay, Samik Bhattacharya, Jolly Basak, & Amita Pal. (2007). Phylogenetic relationships among the bamboo species as revealed by morphological characters and polymorphism analyses. Biologia Plantarum. 51(4). 667–672. 32 indexed citations
17.
Bhattacharya, Samik, et al.. (2006). Morphological and Molecular Characterization of Bambusa tulda with a Note on Flowering. Annals of Botany. 98(3). 529–535. 30 indexed citations
18.
19.
Stenmark, K.R., et al.. (2000). Hypoxia-Induced Pulmonary Vascular Remodeling: Contribution of the Adventitial Fibroblasts. Physiological Research. 49(5). 503–517. 46 indexed citations
20.
Mohanty, Debajyoti, et al.. (1997). Prevalence of canine demodicosis in Orissa (India). Veterinary Parasitology. 73(3-4). 347–352. 30 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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