This map shows the geographic impact of S. Thirumeni'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 S. Thirumeni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Thirumeni more than expected).
This network shows the impact of papers produced by S. Thirumeni. 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 S. Thirumeni. The network helps show where S. Thirumeni may publish in the future.
Co-authorship network of co-authors of S. Thirumeni
This figure shows the co-authorship network connecting the top 25 collaborators of S. Thirumeni.
A scholar is included among the top collaborators of S. Thirumeni 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 S. Thirumeni. S. Thirumeni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Thirumeni, S., et al.. (2016). Induced mutagenesis in rice (Oryza sativa L.) for improving salt tolerance. ORYZA- An International Journal on Rice. 53(4). 385–390.
5.
Thirumeni, S., et al.. (2015). KKL(R)-1: a promising long duration rice variety.. Electronic Journal of Plant Breeding. 6(1). 8–11.
Seetharam, K., et al.. (2013). Genetic diversity analysis of rice (Oryza sativa) genotypes for seedling characters under saline -alkaline condition. Electronic Journal of Plant Breeding. 4(1). 1034–1042.1 indexed citations
8.
Gregorio, Glenn B., MR Islam, G. Vergara, & S. Thirumeni. (2013). Recent advances in rice science to design salinity and other abiotic stress tolerant rice varieties.. SABRAO Journal of Breeding and Genetics. 45(1). 31–41.42 indexed citations
9.
Elango, Dinakaran, et al.. (2012). Yield and fibre quality components analysis in upland cotton (Gossypium hirsutum L.) under salinity. Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics). 3(8). 3910–3915.12 indexed citations
10.
Thirumeni, S., et al.. (2010). Genetic divergence in land races of rice. Electronic Journal of Plant Breeding. 1(2). 199–204.4 indexed citations
11.
Thirumeni, S., et al.. (2010). Combining ability analysis in Finger millet (Eleusine coracana (L.) Gaertn.) under salinity. SHILAP Revista de lepidopterología. 1(2). 129–139.2 indexed citations
12.
Seetharam, K., et al.. (2009). Variability Studies in Rice (Oryza Sativa L.) for Salt Tolerance. SSRN Electronic Journal.
Thirumeni, S., et al.. (2007). Evaluation of salt-tolerance in finger millet (Eleusine coracana) genotypes at seedling stage*. The Indian Journal of Agricultural Sciences. 77(10). 672–674.10 indexed citations
15.
Thirumeni, S., et al.. (2003). Genetics of salt tolerance in rice (Oryza sativa L.). Indian Journal of Genetics and Plant Breeding (The). 63(1). 75–76.1 indexed citations
16.
Ramadoss, Nitya S., et al.. (2002). Management of root rot [Macrophomina phaseolina (Tassi.) Goid.] of ricefallow blackgram by resident isolates of Trochoderma virlde. Indian Journal of Agricultural Research. 36(2). 118–122.3 indexed citations
17.
Ramadoss, Nitya S., et al.. (2000). Effect of Plant Extract in the Control of Powdery Mildew of Blackgram ( Erysiphe polygoni DC). Agricultural science digest. 20(3). 193–194.4 indexed citations
18.
Thirumeni, S., et al.. (2000). Heterosis in coastal saline rice (Oryza sativa L.).. Crop Research Hisar. 19(2). 245–250.2 indexed citations
Thirumeni, S., et al.. (2000). Combining ability and gene action in rice under salinity.. 12. 375–385.11 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.