A. R. Rao

4.9k total citations · 1 hit paper
209 papers, 3.4k citations indexed

About

A. R. Rao is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, A. R. Rao has authored 209 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Plant Science, 69 papers in Molecular Biology and 32 papers in Genetics. Recurrent topics in A. R. Rao's work include Genetic Mapping and Diversity in Plants and Animals (20 papers), Genomics and Phylogenetic Studies (19 papers) and Genetics and Plant Breeding (17 papers). A. R. Rao is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (20 papers), Genomics and Phylogenetic Studies (19 papers) and Genetics and Plant Breeding (17 papers). A. R. Rao collaborates with scholars based in India, United States and Israel. A. R. Rao's co-authors include Prabina Kumar Meher, Tanmaya Kumar Sahu, Varsha Saini, Gerald L. Lohse, Mallana Gowdra Mallikarjuna, Nepolean Thirunavukkarasu, Trilochan Mohapatra, Sarika Sahu, S. L. Krishnamurthy and Prasanta K. Dash and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

A. R. Rao

194 papers receiving 3.3k citations

Hit Papers

Predicting antimicrobial peptides with improved accuracy ... 2017 2026 2020 2023 2017 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
A. R. Rao India 29 1.4k 1.2k 554 269 239 209 3.4k
Dacheng Wang China 32 330 0.2× 3.2k 2.6× 345 0.6× 332 1.2× 135 0.6× 189 6.5k
Casper Kaae Sønderby Denmark 16 1.1k 0.8× 3.0k 2.5× 394 0.7× 585 2.2× 226 0.9× 17 5.5k
Hong Zhang China 32 2.2k 1.6× 1.2k 1.0× 226 0.4× 296 1.1× 57 0.2× 245 4.1k
Jun Chen China 43 1.4k 1.0× 2.2k 1.8× 508 0.9× 429 1.6× 25 0.1× 283 5.6k
Christoph W. Sensen Canada 50 918 0.7× 3.6k 3.0× 698 1.3× 1.3k 4.8× 38 0.2× 137 6.7k
Tadeusz Caliński Poland 15 2.0k 1.4× 442 0.4× 332 0.6× 342 1.3× 24 0.1× 42 5.0k
Yifeng Li China 32 296 0.2× 2.1k 1.7× 215 0.4× 228 0.8× 843 3.5× 195 3.8k
Anil Rai India 28 1.7k 1.2× 1.1k 0.9× 564 1.0× 310 1.2× 51 0.2× 284 3.2k
Masahiro Hattori Japan 28 1.5k 1.1× 4.7k 3.9× 685 1.2× 614 2.3× 50 0.2× 85 8.2k
Wensheng Wang China 40 3.3k 2.4× 2.7k 2.2× 815 1.5× 150 0.6× 29 0.1× 168 5.8k

Countries citing papers authored by A. R. Rao

Since Specialization
Citations

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

Fields of papers citing papers by A. R. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. R. Rao. 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 A. R. Rao. The network helps show where A. R. Rao may publish in the future.

Co-authorship network of co-authors of A. R. Rao

This figure shows the co-authorship network connecting the top 25 collaborators of A. R. Rao. A scholar is included among the top collaborators of A. R. Rao 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 A. R. Rao. A. R. Rao 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.
Sahu, Sarika, et al.. (2024). Predictive Role of Cluster Bean (Cyamopsis tetragonoloba) Derived miRNAs in Human and Cattle Health. Genes. 15(4). 448–448. 1 indexed citations
2.
Mallikarjuna, Mallana Gowdra, Rakhi Tomar, H. C. Lohithaswa, et al.. (2023). Genome-wide identification of potassium channels in maize showed evolutionary patterns and variable functional responses to abiotic stresses. Plant Physiology and Biochemistry. 206. 108235–108235. 3 indexed citations
3.
Sahu, Tanmaya Kumar, et al.. (2020). Computational identification of putative genes and vital amino acids involved in biennial rhythm in mango (Mangifera indica L.). Journal of Pharmacognosy and Phytochemistry. 9(6). 267–269. 2 indexed citations
4.
Sahu, Sarika, et al.. (2020). Computational analysis of SNPs and INDELs in cluster bean cultivars involved in multiple trait expression. Indian Journal of Genetics and Plant Breeding (The). 80(2). 4 indexed citations
5.
Budhlakoti, Neeraj, et al.. (2020). Comparative study of different non-parametric genomic selection methods under diverse genetic architecture. Indian Journal of Genetics and Plant Breeding (The). 80(4). 2 indexed citations
6.
Rao, A. R., et al.. (2020). Identification and characterization of circular RNAs regulating genes responsible for drought stress tolerance in chickpea and soybean. Indian Journal of Genetics and Plant Breeding (The). 80(1). 5 indexed citations
7.
Manjula, K., et al.. (2019). Studies on biology, feeding habits and natural enemies of fall armyworm, Spodoptera frugiperda, a new invasive pest in India. Journal of Entomology and Zoology Studies. 7(6). 1245–1250. 3 indexed citations
8.
Rao, A. R., et al.. (2017). Seasonal incidence of leaf miner (Aproaerema modicella) on groundnut (Arachis hypogaea L.) during rabi season. Journal of Entomology and Zoology Studies. 5(6). 91–96. 1 indexed citations
9.
Meher, Prabina Kumar, Tanmaya Kumar Sahu, & A. R. Rao. (2016). Performance evaluation of neural network, support vector machine and random forest for prediction of donor splice sites in rice. Indian Journal of Genetics and Plant Breeding (The). 76(2). 173–173. 3 indexed citations
10.
Rao, A. R., et al.. (2016). Detection of biennial rhythm and estimation of repeatability in mango ( Mangifera indica L.). Indian Journal of Genetics and Plant Breeding (The). 76(1). 88–88. 1 indexed citations
11.
Rao, A. R., et al.. (2015). Molecular characterization of Beauveria bassiana isolates through RAPD-PCR.. Current biotica. 9(2). 105–118. 1 indexed citations
12.
13.
Meher, Prabina Kumar, et al.. (2014). Application of Gibbs sampling methodology for identification of transcription factor binding sites in MADS box family genes in Arabidopsis thaliana. Indian Journal of Genetics and Plant Breeding (The). 74(1). 73–73. 2 indexed citations
14.
Sahu, Tanmaya Kumar, et al.. (2014). In silico identification of late blight susceptibility genes in Solanum tuberosum. Indian Journal of Genetics and Plant Breeding (The). 74(2). 229–229. 1 indexed citations
15.
Rao, A. R., et al.. (2013). Incidence and biology of leaf roller, Psorosticha zizyphi (Stainton) (Lepidoptera: Oecophoridae) on curry leaf, Murraya koenigii (L.) Sprengel. Pest Management in Horticultural Ecosystems. 18(2). 154–157. 1 indexed citations
16.
Rao, A. R., et al.. (2011). Management of Pod Sucking Bug Complex in Cowpea. Annals of Plant Protection Sciences. 19(2). 454–455. 1 indexed citations
17.
Dash, Sukanta, et al.. (2009). An Empirical Investigation on Classical Clustering Methods. SSRN Electronic Journal. 1 indexed citations
18.
Rao, A. R., et al.. (2003). Correlation and path-coefficient studies in carnation. Journal of Ornamental Horticulture. 6(1). 24–28. 1 indexed citations
19.
Rao, A. R., et al.. (2002). Efficacy of different insecticides against jassids on groundnut. Journal of Entomological Research. 26(4). 291–295. 2 indexed citations
20.
Rao, A. R., et al.. (1975). Pollen flora of upper gangetic plain. 8 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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