M. Nagaraju

638 total citations
22 papers, 404 citations indexed

About

M. Nagaraju is a scholar working on Plant Science, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, M. Nagaraju has authored 22 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Plant Science, 14 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in M. Nagaraju's work include Plant Stress Responses and Tolerance (7 papers), Plant nutrient uptake and metabolism (5 papers) and Heat shock proteins research (4 papers). M. Nagaraju is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Plant nutrient uptake and metabolism (5 papers) and Heat shock proteins research (4 papers). M. Nagaraju collaborates with scholars based in India, United States and Kenya. M. Nagaraju's co-authors include P. B. Kavi Kishor, Palakolanu Sudhakar Reddy, D. Manohar Rao, Anuj Kumar, G. Rajasheker, Sanjay Kumar, Rakesh K. Srivastava, Jalaja Naravula, P. B. Kavi Kishor and Prashanth Suravajhala and has published in prestigious journals such as PLoS ONE, Frontiers in Plant Science and International Journal of Biological Macromolecules.

In The Last Decade

M. Nagaraju

19 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Nagaraju India 12 339 180 29 19 19 22 404
Haitao Xing China 11 320 0.9× 229 1.3× 34 1.2× 15 0.8× 17 0.9× 20 418
Prince Marowa China 10 445 1.3× 221 1.2× 24 0.8× 13 0.7× 21 1.1× 12 521
Xueyang Min China 14 397 1.2× 200 1.1× 33 1.1× 26 1.4× 10 0.5× 35 468
Sebastian Worch Germany 6 301 0.9× 161 0.9× 56 1.9× 27 1.4× 24 1.3× 9 409
Yi Jing China 9 356 1.1× 167 0.9× 20 0.7× 17 0.9× 22 1.2× 20 448
Jinkao Guo China 6 378 1.1× 122 0.7× 15 0.5× 41 2.2× 15 0.8× 9 424
Shenglong Bai China 9 312 0.9× 236 1.3× 34 1.2× 20 1.1× 12 0.6× 16 431
Pedro M. Barros Portugal 13 481 1.4× 292 1.6× 37 1.3× 12 0.6× 18 0.9× 24 554
Yujun Sun China 11 334 1.0× 177 1.0× 20 0.7× 13 0.7× 10 0.5× 21 426

Countries citing papers authored by M. Nagaraju

Since Specialization
Citations

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

Fields of papers citing papers by M. Nagaraju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nagaraju

This figure shows the co-authorship network connecting the top 25 collaborators of M. Nagaraju. A scholar is included among the top collaborators of M. Nagaraju 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 M. Nagaraju. M. Nagaraju 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
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Nagaraju, M., et al.. (2024). Mitigation of lens opacification by a functional food in a diabetic rodent model. Chemico-Biological Interactions. 390. 110889–110889. 4 indexed citations
3.
Nagaraju, M., et al.. (2024). Functional Food Mixture Extricates D-Galactose-Induced Skeletal Muscle Impairment in Rats. Rejuvenation Research. 27(6). 181–190.
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Nagaraju, M., et al.. (2022). Anti-inflammatory potential of turmeric, amla, and black pepper mixture against sepsis-induced acute lung injury in rats. Journal of Food Science and Technology. 60(1). 252–261. 5 indexed citations
6.
Kumari, P. Hima, et al.. (2022). Genome-wide identification and multiple abiotic stress transcript profiling of potassium transport gene homologs in Sorghum bicolor. Frontiers in Plant Science. 13. 965530–965530. 10 indexed citations
7.
Reddy, Palakolanu Sudhakar, Kaliamoorthy Sivasakthi, M. Nagaraju, et al.. (2022). Pearl Millet Aquaporin Gene PgPIP2;6 Improves Abiotic Stress Tolerance in Transgenic Tobacco. Frontiers in Plant Science. 13. 820996–820996. 21 indexed citations
8.
Rajasheker, G., M. Nagaraju, Jalaja Naravula, et al.. (2022). Identification and analysis of proline-rich proteins and hybrid proline-rich proteins super family genes from Sorghum bicolor and their expression patterns to abiotic stress and zinc stimuli. Frontiers in Plant Science. 13. 952732–952732. 8 indexed citations
9.
Rajasheker, G., Palakolanu Sudhakar Reddy, Jalaja Naravula, et al.. (2021). Overexpression of RNA‐binding bacterial chaperones in rice leads to stay‐green phenotype, improved yield and tolerance to salt and drought stresses. Physiologia Plantarum. 173(4). 1351–1368. 9 indexed citations
10.
Nagaraju, M., Anuj Kumar, Jalaja Naravula, D. Manohar Rao, & P. B. Kavi Kishor. (2021). Functional Exploration of Chaperonin (HSP60/10) Family Genes and their Abiotic Stress-induced Expression Patterns in Sorghum bicolor. Current Genomics. 22(2). 137–152. 15 indexed citations
11.
Kishor, P. B. Kavi, Renuka Suravajhala, G. Rajasheker, et al.. (2020). Lysine, Lysine-Rich, Serine, and Serine-Rich Proteins: Link Between Metabolism, Development, and Abiotic Stress Tolerance and the Role of ncRNAs in Their Regulation. Frontiers in Plant Science. 11. 546213–546213. 42 indexed citations
12.
Nagaraju, M., Anuj Kumar, G. Rajasheker, D. Manohar Rao, & P. B. Kavi Kishor. (2020). DnaJs, the critical drivers of Hsp70s: genome-wide screening, characterization and expression of DnaJ family genes in Sorghum bicolor. Molecular Biology Reports. 47(10). 7379–7390. 11 indexed citations
13.
Nagaraju, M., Sanjay Kumar, Palakolanu Sudhakar Reddy, et al.. (2019). Genome-scale identification, classification, and tissue specific expression analysis of late embryogenesis abundant (LEA) genes under abiotic stress conditions in Sorghum bicolor L.. PLoS ONE. 14(1). e0209980–e0209980. 61 indexed citations
14.
Reddy, Palakolanu Sudhakar, et al.. (2019). Genome-wide identification and expression profile analysis of nuclear factor Y family genes in Sorghum bicolor L. (Moench). PLoS ONE. 14(9). e0222203–e0222203. 36 indexed citations
15.
Nagaraju, M., Palakolanu Sudhakar Reddy, Anuj Kumar, et al.. (2019). Genome-wide identification and transcriptional profiling of small heat shock protein gene family under diverse abiotic stress conditions in Sorghum bicolor (L.). International Journal of Biological Macromolecules. 142. 822–834. 36 indexed citations
16.
Kumar, Anuj, Mansi Sharma, Vijay Gahlaut, et al.. (2019). Genome-wide identification, characterization, and expression profiling of SPX gene family in wheat. International Journal of Biological Macromolecules. 140. 17–32. 36 indexed citations
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Nayaka, S. Chandra, H. Shekar Shetty, C. Tara Satyavathi, et al.. (2017). Draft genome sequence of Sclerospora graminicola , the pearl millet downy mildew pathogen. Biotechnology Reports. 16. 18–20. 10 indexed citations
19.
Nagaraju, M., et al.. (2015). Genome-wide Scanning and Characterization of Sorghum bicolor L. Heat Shock Transcription Factors. Current Genomics. 16(4). 279–291. 22 indexed citations
20.
Nagaraju, M., et al.. (1975). simple technique to identify scent in rice and inheritance pattern of scent. Current Science. 15 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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