P. Senguttuvel

912 total citations
50 papers, 301 citations indexed

About

P. Senguttuvel is a scholar working on Plant Science, Genetics and Soil Science. According to data from OpenAlex, P. Senguttuvel has authored 50 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 21 papers in Genetics and 5 papers in Soil Science. Recurrent topics in P. Senguttuvel's work include Rice Cultivation and Yield Improvement (34 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and GABA and Rice Research (16 papers). P. Senguttuvel is often cited by papers focused on Rice Cultivation and Yield Improvement (34 papers), Genetic Mapping and Diversity in Plants and Animals (21 papers) and GABA and Rice Research (16 papers). P. Senguttuvel collaborates with scholars based in India, Philippines and Poland. P. Senguttuvel's co-authors include M. Sheshu Madhav, R. M. Sundaram, D. Subrahmanyam, Kalyani M. Barbadikar, C. Gireesh, P. Revathi, R. M. Sundaram, G. Padmavathi, B. C. Viraktamath and M. S. Prasad and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Critical Reviews in Plant Sciences.

In The Last Decade

P. Senguttuvel

41 papers receiving 290 citations

Peers

P. Senguttuvel

GENET

EEBS

Yudhistira Nugraha Indonesia

Amadou Tidiane Sall Senegal

R S Mahala India

J. N. Reddy India

Ailan Zeng United States

Vijai Pal Bhadana India

Isidore Diouf France

Quahir Sohail Pakistan

Joko Prasetiyono Indonesia

Dipti Ranjan Pani India

Yudhistira Nugraha Indonesia

P. Senguttuvel

302 ×1.1

47 ×0.6

GENET

11 ×0.4

15 ×0.7

17 ×1.1

EEBS

Citations per year, relative to P. Senguttuvel P. Senguttuvel (= 1×) peers Yudhistira Nugraha

Countries citing papers authored by P. Senguttuvel

Since Specialization

Citations

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

Fields of papers citing papers by P. Senguttuvel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Senguttuvel

This figure shows the co-authorship network connecting the top 25 collaborators of P. Senguttuvel. A scholar is included among the top collaborators of P. Senguttuvel 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 P. Senguttuvel. P. Senguttuvel 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

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.

Sakhare, Akshay, et al.. (2024). Physiological Changes and Evaluation of Saltol1 Introgressed Backcrossed Inbred Lines (BILs) for Early Seedling Stage Salinity Tolerance in Rice (Oryza sativa L.). Russian Journal of Plant Physiology. 71(1).

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.

Badri, Jyothi, et al.. (2023). Conventional and new breeding approaches to enhance grain yield in rice. ORYZA- An International Journal on Rice. 60(0). 1–20. 1 indexed citations

Senguttuvel, P., et al.. (2023). Rice biofortification: breeding and genomic approaches for genetic enhancement of grain zinc and iron contents. Frontiers in Plant Science. 14. 1138408–1138408. 31 indexed citations

Singh, Arun Kumar, et al.. (2023). Improving blast resistance of maintainer line DRR 9B by transferring broad spectrum resistance gene Pi2 by marker assisted selection in rice. Physiology and Molecular Biology of Plants. 29(2). 253–262. 6 indexed citations

Barbadikar, Kalyani M., Divya Balakrishnan, C. Gireesh, et al.. (2023). Genome-wide association studies in rice germplasm reveal significant genomic regions for root and yield-related traits under aerobic and irrigated conditions. Frontiers in Plant Science. 14. 1143853–1143853. 11 indexed citations

Senguttuvel, P., et al.. (2023). Estimates of Genetic Parameters for Yield Attributing Characters in Restorer Lines of Rice (Oryza sativa L.). International Journal of Environment and Climate Change. 13(10). 3954–3961.

Senguttuvel, P., et al.. (2023). Estimation of Variability, Correlation Coefficient and Path Analysis in Improved Restorer Lines of Rice (Oryza sativa L.). International Journal of Environment and Climate Change. 13(11). 2853–2862.

10.

Senguttuvel, P., et al.. (2023). Estimation of indica-tropical japonica genome proportion in wide compatible restorer lines derived through inter sub specific hybridization and molecular diversity analysis among rice genotypes. Electronic Journal of Plant Breeding. 14(2). 616–624. 1 indexed citations

11.

Rathod, Santosha, Gabrijel Ondrašek, C. Gireesh, et al.. (2021). Two-Stage Spatiotemporal Time Series Modelling Approach for Rice Yield Prediction & Advanced Agroecosystem Management. Agronomy. 11(12). 2502–2502. 11 indexed citations

12.

Madhav, M. Sheshu, et al.. (2021). Molecular mapping of quantitative trait loci for stigma exsertion trait in rice (Oryza sativa L.). 14(2). 1 indexed citations

13.

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

14.

Barbadikar, Kalyani M., et al.. (2018). Studies on root anatomy, morphology and physiology of rice grown under aerobic and anaerobic conditions. Physiology and Molecular Biology of Plants. 25(1). 197–205. 16 indexed citations

15.

Senguttuvel, P., G. Padmavathi, R. M. Sundaram, et al.. (2016). Identification and quantification of salinity tolerance through salt stress indices and variability studies in rice (Oryza sativa L.). SABRAO Journal of Breeding and Genetics. 48(2). 172–179. 4 indexed citations

16.

Senguttuvel, P., et al.. (2014). Changes in photosynthesis, chlorophyll fluorescence, gas exchange parameters and osmotic potential to salt stress during early seedling stage in rice (Oryza sativa L.).. SABRAO Journal of Breeding and Genetics. 46(1). 120–135. 15 indexed citations

17.

Revathi, P., Arun Kumar Singh, R. M. Sundaram, et al.. (2013). Efficiency of molecular markers in identifying fertility restoration trait of WA-CMS system in rice. Indian Journal of Genetics and Plant Breeding (The). 73(1). 89–89. 19 indexed citations

18.

Senguttuvel, P., et al.. (2012). Differential response of rice seedlings to salt stress in relation to antioxidant enzyme activity and membrane stability index. Archives of Agronomy and Soil Science. 59(10). 1359–1371. 3 indexed citations

19.

Revathi, P., et al.. (2010). Molecular screening for the presence of wide compatibility gene S5 neutral allele in the parental lines of hybrid rice. Indian Journal of Genetics and Plant Breeding (The). 70(4). 373–376. 4 indexed citations

20.

Senguttuvel, P., et al.. (2006). Heterosis breeding in rice for higher yields. PLANT ARCHIVES. 6(1). 261–263. 3 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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