Deepak Nayak

1.7k total citations
49 papers, 1.1k citations indexed

About

Deepak Nayak is a scholar working on Plant Science, Genetics and Immunology. According to data from OpenAlex, Deepak Nayak has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 11 papers in Genetics and 11 papers in Immunology. Recurrent topics in Deepak Nayak's work include Genetic Mapping and Diversity in Plants and Animals (10 papers), GABA and Rice Research (9 papers) and Rice Cultivation and Yield Improvement (9 papers). Deepak Nayak is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (10 papers), GABA and Rice Research (9 papers) and Rice Cultivation and Yield Improvement (9 papers). Deepak Nayak collaborates with scholars based in United States, India and China. Deepak Nayak's co-authors include Elssa Pandit, Sharat Kumar Pradhan, Saumya Ranjan Barik, Thalachallour Mohanakumar, Lambodar Behera, Ramsey R. Hachem, A. Anandan, Min Xu, Srikanta Lenka and Shakti Prakash Mohanty and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Diabetes.

In The Last Decade

Deepak Nayak

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Nayak United States 20 568 269 235 216 183 49 1.1k
John Loh United States 9 323 0.6× 284 1.1× 397 1.7× 87 0.4× 156 0.9× 15 1.1k
Francesca Galbiati Italy 10 473 0.8× 378 1.4× 505 2.1× 186 0.9× 24 0.1× 13 1.2k
Daxu Li China 18 201 0.4× 417 1.6× 127 0.5× 83 0.4× 39 0.2× 69 908
Huihui Yu China 26 1.8k 3.1× 798 3.0× 112 0.5× 993 4.6× 64 0.3× 57 2.6k
Vicky Van Sandt Belgium 13 261 0.5× 119 0.4× 94 0.4× 24 0.1× 285 1.6× 16 789
Francine Tremblay Canada 18 709 1.2× 772 2.9× 13 0.1× 57 0.3× 81 0.4× 36 1.1k
Giovanna Del Pozzo Italy 17 26 0.0× 260 1.0× 327 1.4× 177 0.8× 144 0.8× 52 885
Jinghui Yang China 11 31 0.1× 112 0.4× 221 0.9× 38 0.2× 53 0.3× 19 537
John H. Fitchen United States 15 260 0.5× 361 1.3× 110 0.5× 81 0.4× 43 0.2× 27 822

Countries citing papers authored by Deepak Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Nayak. A scholar is included among the top collaborators of Deepak Nayak 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 Deepak Nayak. Deepak Nayak 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.
Mohanty, Shakti Prakash, Deepak Nayak, Priyadarsini Sanghamitra, et al.. (2023). Mapping the Genomic Regions Controlling Germination Rate and Early Seedling Growth Parameters in Rice. Genes. 14(4). 902–902. 3 indexed citations
2.
Nayak, Deepak, Saumya Ranjan Barik, Sangeeta Saxena, et al.. (2022). Association mapping for protein, total soluble sugars, starch, amylose and chlorophyll content in rice. BMC Plant Biology. 22(1). 620–620. 19 indexed citations
3.
Barik, Saumya Ranjan, et al.. (2022). Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice. PLoS ONE. 17(7). e0267303–e0267303. 19 indexed citations
4.
Pradhan, Sharat Kumar, Elssa Pandit, Smita C. Pawar, et al.. (2020). Linkage disequilibrium mapping for grain Fe and Zn enhancing QTLs useful for nutrient dense rice breeding. BMC Plant Biology. 20(1). 57–57. 62 indexed citations
5.
Xu, Min, et al.. (2020). Lung Secretoglobin Scgb1a1 Influences Alveolar Macrophage-Mediated Inflammation and Immunity. Frontiers in Immunology. 11. 584310–584310. 31 indexed citations
6.
Barik, Saumya Ranjan, Elssa Pandit, Shakti Prakash Mohanty, Deepak Nayak, & Sharat Kumar Pradhan. (2020). Genetic mapping of physiological traits associated with terminal stage drought tolerance in rice. BMC Genetics. 21(1). 76–76. 23 indexed citations
7.
Nayak, Deepak, et al.. (2018). Isolation and <em>In Vitro</em> Culture of Murine and Human Alveolar Macrophages. Journal of Visualized Experiments. 35 indexed citations
8.
Nayak, Deepak, Fangyu Zhou, Min Xu, et al.. (2017). Zbtb7a induction in alveolar macrophages is implicated in anti-HLA–mediated lung allograft rejection. Science Translational Medicine. 9(398). 19 indexed citations
9.
Pandit, Elssa, et al.. (2017). Genome-Wide Association Mapping Reveals Multiple QTLs Governing Tolerance Response for Seedling Stage Chilling Stress in Indica Rice. Frontiers in Plant Science. 8. 552–552. 39 indexed citations
10.
Xu, Zhongping, Deepak Nayak, Monal Sharma, et al.. (2016). Donor-Derived Exosomes With Lung Self-Antigens in Human Lung Allograft Rejection. American Journal of Transplantation. 17(2). 474–484. 103 indexed citations
11.
Pradhan, Sharat Kumar, Deepak Nayak, Elssa Pandit, et al.. (2015). Characterization of morpho-quality traits and validation of bacterial blight resistance in pyramided rice genotypes under various hotspots of India. Australian Journal of Crop Science. 9(2). 127–134. 12 indexed citations
12.
Pradhan, Sharat Kumar, Deepak Nayak, S. Mohanty, et al.. (2015). Pyramiding of three bacterial blight resistance genes for broad-spectrum resistance in deepwater rice variety, Jalmagna. Rice. 8(1). 51–51. 142 indexed citations
13.
Xu, Zhongping, Deepak Nayak, Wei Yang, et al.. (2015). Dysregulated MicroRNA Expression and Chronic Lung Allograft Rejection in Recipients With Antibodies to Donor HLA. American Journal of Transplantation. 15(7). 1933–1947. 41 indexed citations
14.
Sharma, Bhavtosh, et al.. (2011). Effect of plant protection chemicals on the growth of Trichoderma spp.. Journal of Mycopathological research. 49(1). 147–149. 1 indexed citations
15.
Nayak, Deepak. (2010). Nematode problems in millets and their management.. International Journal of Plant Sciences Muzaffarnagar. 5(2). 693–695.
16.
Nayak, Deepak, Aihua Tang, Melanie Wilson, Norman W. Miller, & Eva Bengtén. (2009). Channel catfish soluble FcμR binds conserved linear epitopes present on Cμ3 and Cμ4. Molecular Immunology. 47(6). 1306–1316. 8 indexed citations
17.
Saha, Sujoy, et al.. (2008). Efficacy of different seed dressing agents in the control of damping off disease of chilli caused by Pythium aphanidermatum.. Journal of Mycopathological research. 46(1). 121–123. 2 indexed citations
18.
Nayak, Deepak, et al.. (2006). Bio-efficacy of fungicides in the control of Phytophthora incited diseases of potato and pointed gourd.. Journal of Mycopathological research. 44(2). 297–299. 2 indexed citations
19.
Nayak, Deepak, et al.. (2004). Association of phytonematodes in forest nurseries around Bhubaneswar. Indian Journal Of Nematology. 34(2). 212–213. 1 indexed citations
20.
Nayak, Deepak, et al.. (1996). Alternative source of resistance for bacterial leaf blight disease of rice. Indian Journal of Plant Genetic Resources. 9(1). 143–146. 1 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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