V. Niral

474 total citations
40 papers, 244 citations indexed

About

V. Niral is a scholar working on Inorganic Chemistry, Plant Science and Genetics. According to data from OpenAlex, V. Niral has authored 40 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Inorganic Chemistry, 19 papers in Plant Science and 8 papers in Genetics. Recurrent topics in V. Niral's work include Coconut Research and Applications (38 papers), Peanut Plant Research Studies (11 papers) and Advances in Cucurbitaceae Research (8 papers). V. Niral is often cited by papers focused on Coconut Research and Applications (38 papers), Peanut Plant Research Studies (11 papers) and Advances in Cucurbitaceae Research (8 papers). V. Niral collaborates with scholars based in India, United States and Thailand. V. Niral's co-authors include K. Samsudeen, K. B. Hebbar, B. A. Jerard, M. K. Rajesh, S. V. Ramesh, R. Pandiselvam, M. R. Manikantan, Shameena Beegum, V.A. Parthasarathy and P. V. Vara Prasad and has published in prestigious journals such as Journal of the Science of Food and Agriculture, Environmental and Experimental Botany and Scientia Horticulturae.

In The Last Decade

V. Niral

38 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. Niral India	10	130	124	70	47	31	40	244
P. Nagarajan India	15	446 3.4×	36 0.3×	72 1.0×	62 1.3×	31 1.0×	46	511
Carmenza Montoya Colombia	9	109 0.8×	36 0.3×	66 0.9×	46 1.0×	2 0.1×	14	290
Zilong Ma China	11	166 1.3×	85 0.7×	170 2.4×	52 1.1×	16 0.5×	17	342
S. Geethanjali India	10	323 2.5×	14 0.1×	74 1.1×	114 2.4×	27 0.9×	52	387
Wenhui Wei China	15	494 3.8×	45 0.4×	290 4.1×	82 1.7×	21 0.7×	44	591
J. Narayana Rao India	13	440 3.4×	47 0.4×	58 0.8×	11 0.2×	47 1.5×	17	466
A. Chandra Sekhar India	9	248 1.9×	6 0.0×	108 1.5×	46 1.0×	9 0.3×	37	341
Catherine Pannetier France	13	493 3.8×	52 0.4×	536 7.7×	18 0.4×	28 0.9×	39	628
Mat Yunus Abdul Masani Malaysia	14	185 1.4×	58 0.5×	361 5.2×	15 0.3×	8 0.3×	37	548
Adam J. Book United States	9	123 0.9×	4 0.0×	175 2.5×	46 1.0×	46 1.5×	9	402

Countries citing papers authored by V. Niral

Since Specialization

Citations

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

Fields of papers citing papers by V. Niral

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Niral

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

Niral, V., et al.. (2024). Diversity and dynamics of weed flora in coconut gardens with varied spacings along the west coast of Kerala, India. International Journal of Research in Agronomy. 7(3S). 19–22.

Ramesh, S. V., et al.. (2022). Physicochemical characterization and fatty acid profiles of testa oils from various coconut (Cocos nucifera L.) genotypes. Journal of the Science of Food and Agriculture. 103(1). 370–379. 10 indexed citations

Samsudeen, K., et al.. (2022). Molecular marker assisted confirmation of hybrids in coconut (Cocos nucifera L.). Indian Journal of Genetics and Plant Breeding (The). 82(3). 369–372. 3 indexed citations

Antony, Ginny, et al.. (2022). Development and characterization of non-coding RNA-derived simple sequence repeat markers in coconut (Cocos nucifera L.). Functional & Integrative Genomics. 22(6). 1243–1251. 2 indexed citations

Rajesh, M. K., et al.. (2022). Analysis of genetic diversity and population structure in worldwide coconut germplasm (Cocos nucifera L.) using microsatellite markers. Scientia Horticulturae. 309. 111681–111681. 2 indexed citations

Rajesh, M. K., Sunil S. Gangurde, Manish K. Pandey, et al.. (2021). Insights on Genetic Diversity, Population Structure, and Linkage Disequilibrium in Globally Diverse Coconut Accessions Using Genotyping-by-Sequencing. OMICS A Journal of Integrative Biology. 25(12). 796–809. 6 indexed citations

Hebbar, K. B., Piruthivi Sukumar, S. V. Ramesh, et al.. (2020). Understanding Physiology and Impacts of High Temperature Stress on the Progamic Phase of Coconut (Cocos nucifera L.). Plants. 9(12). 1651–1651. 14 indexed citations

Jerard, B. A., et al.. (2020). Development of EST-SSR markers for genetic diversity analysis in coconut (Cocos nucifera L.). Molecular Biology Reports. 47(12). 9385–9397. 22 indexed citations

Niral, V., et al.. (2013). Morphological and molecular characterization of a large fruited unique coconut accession from Vaibhavwadi, Maharashtra, India. Indian Journal of Genetics and Plant Breeding (The). 73(2). 220–220. 1 indexed citations

10.

Jerard, B. A., Vinita Damodaran, V. Niral, et al.. (2013). Conservation and utilization of soft endosperm coconut accession from Andaman Islands. 4 indexed citations

11.

Niral, V., et al.. (2011). Segregation, phenotypic and genotypic variance and heritability in the F2 population of coconut (Cocos nucifera)*. The Indian Journal of Agricultural Sciences. 81(10). 954–956. 1 indexed citations

12.

Niral, V., et al.. (2010). Microsatellite analysis of distinct coconut accessions from Agatti and Kavaratti Islands, Lakshadweep, India. Scientia Horticulturae. 125(3). 309–315. 6 indexed citations

13.

Rajesh, M. K., et al.. (2008). Genetic diversity in yellow dwarf populations of coconut assessed using RAPD markers. Indian Journal of Horticulture. 65(1). 60–64. 3 indexed citations

14.

Niral, V., et al.. (2008). Diversity of esterase and peroxidase isozymes in a segregating population of coconut. Indian Journal of Horticulture. 65(3). 322–325. 1 indexed citations

15.

Niral, V., et al.. (2007). Genetic analysis of drought responsive physiological characters in coconut. Indian Journal of Horticulture. 64(2). 181–189. 1 indexed citations

16.

Niral, V., et al.. (2007). Intrapopulation allelomorphism in tall and dwarf populations of the coconut. Acta Botanica Croatica. 66(1). 35–42. 1 indexed citations

17.

Samsudeen, K., et al.. (2006). Exploration and Collection of Coconut Germplasm in Kadmat and Amini Islands of Lakshadweep, India. Genetic Resources and Crop Evolution. 53(8). 1721–1728. 6 indexed citations

18.

Niral, V., et al.. (2005). Characterization of coconut germplasm based on protein polymorphism. Indian Journal of Horticulture. 62(2). 118–121. 2 indexed citations

19.

Manimekalai, R., et al.. (2005). A database for coconut crop improvement. Bioinformation. 1(2). 75–77. 1 indexed citations

20.

Parthasarathy, V.A., et al.. (2004). Analysis of coconut cultivars and hybrids using isozyme polymorphism. Acta Botanica Croatica. 63(1). 69–74. 4 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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