A. Anandan

657 total citations
26 papers, 459 citations indexed

About

A. Anandan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, A. Anandan has authored 26 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in A. Anandan's work include Rice Cultivation and Yield Improvement (9 papers), Genetics and Plant Breeding (6 papers) and GABA and Rice Research (5 papers). A. Anandan is often cited by papers focused on Rice Cultivation and Yield Improvement (9 papers), Genetics and Plant Breeding (6 papers) and GABA and Rice Research (5 papers). A. Anandan collaborates with scholars based in India, Philippines and Nepal. A. Anandan's co-authors include K. Elumalai, Kaliyamoorthy Krishnappa, Marimuthu Govindarajan, Deepak Nayak, Anumalla Mahender, Saumya Ranjan Barik, Elssa Pandit, Sharat Kumar Pradhan, G. Sangeetha and Ambika Sahoo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

A. Anandan

23 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Anandan India 12 414 114 76 64 63 26 459
Walquíria Arruda Brazil 12 294 0.7× 307 2.7× 32 0.4× 169 2.6× 15 0.2× 21 456
Khouzama Knio Lebanon 11 212 0.5× 194 1.7× 82 1.1× 64 1.0× 90 1.4× 23 388
P. K. Sarkar India 12 175 0.4× 151 1.3× 30 0.4× 99 1.5× 27 0.4× 56 331
Lihua Wang China 11 224 0.5× 72 0.6× 33 0.4× 74 1.2× 62 1.0× 41 346
Chenyang Li China 13 506 1.2× 38 0.3× 24 0.3× 136 2.1× 12 0.2× 45 607
Valeria Zeni Italy 11 345 0.8× 254 2.2× 19 0.3× 73 1.1× 129 2.0× 25 473
C.N. Srivastava India 18 683 1.6× 397 3.5× 149 2.0× 219 3.4× 113 1.8× 41 775
Rosa Peiró Spain 13 242 0.6× 20 0.2× 17 0.2× 53 0.8× 82 1.3× 57 452
Paula Tennant Jamaica 14 546 1.3× 76 0.7× 11 0.1× 344 5.4× 24 0.4× 35 635
Palaiyur Nanjappan Sivalingam India 10 360 0.9× 50 0.4× 9 0.1× 72 1.1× 27 0.4× 37 415

Countries citing papers authored by A. Anandan

Since Specialization
Citations

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

Fields of papers citing papers by A. Anandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Anandan

This figure shows the co-authorship network connecting the top 25 collaborators of A. Anandan. A scholar is included among the top collaborators of A. Anandan 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. Anandan. A. Anandan 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.
Anilkumar, C., Bishnu Charan Marndi, Kutubuddin A. Molla, et al.. (2025). Genome-wide association mapping for rapid and uniform germination traits associated with direct-seeded adaptation in rice. Seed Science Research. 35(3). 145–155.
3.
Senthilkumar, N., et al.. (2024). Detection of superior rice genotypes and yield stability using AMMI and MTSI models. Electronic Journal of Plant Breeding. 15(2). 405–413. 1 indexed citations
4.
Anandan, A., S.R. Prabhukarthikeyan, C. Parameswaran, et al.. (2022). Deciphering environmental factors and defense response of rice genotypes against sheath blight disease. Physiological and Molecular Plant Pathology. 122. 101916–101916. 17 indexed citations
5.
Anandan, A., Anumalla Mahender, C. Parameswaran, et al.. (2022). Multi-trait association study identifies loci associated with tolerance of low phosphorus in Oryza sativa and its wild relatives. Scientific Reports. 12(1). 4089–4089. 7 indexed citations
6.
Sandhu, Nitika, Ram Baran Yadaw, K. M. Iftekharuddaula, et al.. (2019). Evaluating the Performance of Rice Genotypes for Improving Yield and Adaptability Under Direct Seeded Aerobic Cultivation Conditions. Frontiers in Plant Science. 10. 159–159. 22 indexed citations
7.
Peramaiyan, Panneerselvam, et al.. (2017). Arka Microbial Consortium and Arka Actino Plus for sustainable rice production. 1 indexed citations
8.
Pradhan, Sharat Kumar, Saumya Ranjan Barik, Ambika Sahoo, et al.. (2016). Population Structure, Genetic Diversity and Molecular Marker-Trait Association Analysis for High Temperature Stress Tolerance in Rice. PLoS ONE. 11(8). e0160027–e0160027. 55 indexed citations
9.
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
10.
Krishnappa, Kaliyamoorthy, et al.. (2013). Larvicidal, ovicidal and repellent activity of selected indigenous medicinal plants against malarial vector Anopheles stephensi (Liston.), dengue vector Aedes aegypti (Linn.) and Japanese encephalitis vector, Culex tritaeniorynchus (Giles.) (Diptera: Culicidae).. International Journal of Agricultural Technology. 9(1). 29–47. 9 indexed citations
11.
Anandan, A., et al.. (2012). CHEMICAL COMPOUNDS INVESTIGATION OF LUCAS ASPERA LEAVES - A POTENTIAL FOLKLORE MEDICINAL PLANT. 14 indexed citations
12.
Sangeetha, G., et al.. (2011). Morphological and molecular characterisation of Lasiodiplodia theobromae from various banana cultivars causing crown rot disease in fruits. Archives of Phytopathology and Plant Protection. 45(4). 475–486. 20 indexed citations
13.
Anandan, A., et al.. (2011). Investigation of correlation between traits and path analysis of rice (Oryza sativa L.) grain yield under coastal salinity. Electronic Journal of Plant Breeding. 2(4). 538–542. 11 indexed citations
14.
Anandan, A., et al.. (2011). Diversity in rice genotypes under salt affected soil based on multivariate analysis.. Pertanika journal of tropical agricultural science. 34(1). 33–40. 11 indexed citations
16.
Govindarajan, Marimuthu, et al.. (2011). Ovicidal and repellent activities of botanical extracts against Culex quinquefasciatus, Aedes aegypti and Anopheles stephensi (Diptera: Culicidae). Asian Pacific Journal of Tropical Biomedicine. 1(1). 43–48. 109 indexed citations
17.
Anandan, A., et al.. (2011). Chemical Compounds Investigation of Cassia auriculata Leaves - A Potential Folklore Medicinal Plant. 15 indexed citations
18.
Saravanan, K., et al.. (2010). GENETIC DIVERGENCE ANALYSIS FOR CERTAIN YIELD AND QUALITY TRAITS IN RICE (ORYZA SATIVA L.) GROWN IN IRRIGATED SALINE LOW LAND OF ANNAMALAINAGAR, SOUTH INDIA. SHILAP Revista de lepidopterología. 13 indexed citations
19.
Anandan, A.. (2009). Studies on choice of characters for breeding for seed cotton yield and fibre quality traits in cotton.. Crop improvement. 36(1). 35–37. 1 indexed citations
20.
Rajeswari, S., et al.. (2009). Somaclonal variation in sugarcane through tissue culture and evaluation for quantitative and quality traits. Euphytica. 168(1). 17 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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