M. S. Anantha

463 total citations
23 papers, 182 citations indexed

About

M. S. Anantha is a scholar working on Plant Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, M. S. Anantha has authored 23 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 7 papers in Genetics and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in M. S. Anantha's work include Rice Cultivation and Yield Improvement (17 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetics and Plant Breeding (6 papers). M. S. Anantha is often cited by papers focused on Rice Cultivation and Yield Improvement (17 papers), Genetic Mapping and Diversity in Plants and Animals (7 papers) and Genetics and Plant Breeding (6 papers). M. S. Anantha collaborates with scholars based in India, Philippines and United States. M. S. Anantha's co-authors include Arvind Kumar, Amelia Henry, Shalabh Dixit, C. Gireesh, Rolando O. Torres, Nimai Prasad Mandal, N. P. Mandal, M. Variar, B. P. Mallikarjuna Swamy and Satish Verulkar and has published in prestigious journals such as Scientific Reports, Journal of Experimental Botany and Crop Science.

In The Last Decade

M. S. Anantha

17 papers receiving 180 citations

Peers

M. S. Anantha

GENET

ACS

EEBS

K. D. Mungra India

Anandhan Tamilselvan India

Mukul Kumar India

Shilpi Dixit India

Narayana Bhat Devate India

R. Chandrababu India

Yashi Singh India

Shiyou Cui China

Adam L. Bray United States

K. D. Mungra India

M. S. Anantha

97 ×0.6

41 ×0.8

GENET

16 ×1.1

ACS

15 ×1.1

4 ×1.0

EEBS

Citations per year, relative to M. S. Anantha M. S. Anantha (= 1×) peers K. D. Mungra

Countries citing papers authored by M. S. Anantha

Since Specialization

Citations

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

Fields of papers citing papers by M. S. Anantha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. S. Anantha

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

All Works

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20 of 20 papers shown

Srivastava, Akanksha, Amber Gupta, Sujit Kumar Bishi, et al.. (2025). Tolerance of Oryza sativa to low phosphate is associated with adaptive changes in root architecture and metabolic exudates. Plant Science. 353. 112415–112415. 1 indexed citations

Barbadikar, Kalyani M., Satendra K. Mangrauthia, D. Subrahmanyam, et al.. (2025). Integrated omics analysis of rice gene expression profiles and microRNAs identifies crucial target genes for nitrogen use efficiency. Plant Physiology Reports. 30(2). 379–399. 1 indexed citations

Sridhar, M. G., C. Gireesh, Divya Balakrishnan, et al.. (2025). Wild species Oryza rufipogon as a potential donor for development of interspecific backcross population in the background of Samba Mahsuri (BPT5204) and detection of yield enhancing QTLs. Plant Physiology Reports. 30(4). 846–865.

Sundaram, R. M., et al.. (2024). Identification of low phosphorus tolerant parental lines of hybrid rice based on stress indices and haplotype analysis using Pup1 linked markers. Cereal Research Communications. 53(1). 137–150.

Sundaram, R. M., et al.. (2024). Correction to: Identification of low phosphorus tolerant parental lines of hybrid rice based on stress indices and haplotype analysis using Pup1 linked markers. Cereal Research Communications. 53(1). 151–152.

Anantha, M. S., et al.. (2024). Detecting Iot Botnet Attacks: A Machine Learning Paradigm. 248–253. 1 indexed citations

Shruti, et al.. (2024). Exploring Genetic Variability for Yield and Its Attributing Traits in Rice (Oryza sativa L.) under Low Soil Phosphorous Condition. Asian Journal of Soil Science and Plant Nutrition. 10(3). 297–303.

Gireesh, C., Kalyani M. Barbadikar, R. M. Sundaram, et al.. (2023). Dissecting the Genetic Relationship between Root Morphological Traits with Grain Yield of Introgression Lines (ILs) Derived from Wild Rice (Oryza rufipogon Griff) under Low Soil Phosphorous Condition. International Journal of Plant & Soil Science. 35(22). 57–80.

Sunanda, Tuladhar, Divya Balakrishnan, Pardeep Kumar, et al.. (2023). Low phosphorus tolerance in selected advanced introgression lines derived from wild accession of Oryza nivara. Current Advances in Agricultural Sciences(An International Journal). 15(1). 26–32. 1 indexed citations

10.

Anila, M., et al.. (2022). Evaluation of Rice Recombinant Inbred Lines Developed from the Cross Rasi × Improved Samba Mahsuri for Drought Tolerance. International Journal of Environment and Climate Change. 1537–1546.

11.

Neeraja, C. N., C. Gireesh, M. S. Anantha, et al.. (2021). Grain Fe and Zn content, heterosis, combining ability and its association with grain yield in irrigated and aerobic rice. Scientific Reports. 11(1). 10579–10579. 20 indexed citations

12.

Gireesh, C., et al.. (2020). Genetic analysis of backcross derived lines of Oryza rufipogon in the background of Samba Mahsuri a for yield enhancing traits in rice. Electronic Journal of Plant Breeding. 11(4). 1120–1127. 2 indexed citations

13.

Vanisri, S., et al.. (2019). Multivariate analysis and selection criteria for identification of African rice(Oryza glaberrima)for genetic improvement ofindicarice cultivars. Plant Genetic Resources. 17(6). 499–505. 13 indexed citations

14.

Balakrishnan, Divya, L. V. Subba Rao, P. Revathi, et al.. (2018). New plant type trait characterization and development of core set among indica and tropical japonica genotypes of rice. Plant Genetic Resources. 16(6). 504–512. 9 indexed citations

15.

Gireesh, C., et al.. (2018). Characterization of African Rice Germplasm for Morphological and Yield Attributing Traits. International Journal of Current Microbiology and Applied Sciences. 7(12). 1288–1303. 1 indexed citations

16.

Chandrashekar, N., et al.. (2017). Real-time nitrogen management in aerobic rice by adopting leaf color chart (LCC) as influenced by silicon. Journal of Plant Nutrition. 40(9). 1277–1286. 9 indexed citations

17.

Henry, Amelia, B. P. Mallikarjuna Swamy, Shalabh Dixit, et al.. (2015). Physiological mechanisms contributing to the QTL-combination effects on improved performance of IR64 rice NILs under drought. Journal of Experimental Botany. 66(7). 1787–1799. 40 indexed citations

18.

Anantha, M. S., Padmini Swain, Rolando O. Torres, et al.. (2015). Trait Combinations That Improve Rice Yield under Drought: Sahbhagi Dhan and New Drought‐Tolerant Varieties in South Asia. Crop Science. 56(1). 408–421. 30 indexed citations

19.

Henry, Amelia, Shalabh Dixit, Nimai Prasad Mandal, et al.. (2014). Grain yield and physiological traits of rice lines with the drought yield QTL qDTY12.1 showed different responses to drought and soil characteristics in upland environments. Functional Plant Biology. 41(11). 1066–1077. 21 indexed citations

20.

Singh, Charan, et al.. (2012). Impact of Rainfall Pattern on Native Arbuscular-Mycorrhizal Activity Influencing Phosphorus Utilization by Direct Seeded Rainfed Upland Rice (Oryza sativa L.). Proceedings of the National Academy of Sciences India Section B Biological Sciences. 83(2). 159–162. 5 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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