V. Niral

66 total papers · 468 total citations
40 papers, 237 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 237 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 United Kingdom. V. Niral's co-authors include K. B. Hebbar, K. Samsudeen, B. A. Jerard, S. V. Ramesh, M. K. Rajesh, R. Pandiselvam, M. R. Manikantan, Shameena Beegum, V.A. Parthasarathy and P. Chowdappa 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

37 papers receiving 226 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
V. Niral 128 120 68 47 30 40 237
Cuk Tri Noviandi 134 1.0× 28 0.2× 31 0.5× 24 0.5× 16 0.5× 57 287
K. Samsudeen 117 0.9× 78 0.7× 96 1.4× 22 0.5× 28 0.9× 32 200
B. A. Jerard 158 1.2× 82 0.7× 62 0.9× 66 1.4× 21 0.7× 26 213
Apekshita Singh 204 1.6× 24 0.2× 91 1.3× 36 0.8× 23 0.8× 28 252
Hasnita Che Harun 52 0.4× 13 0.1× 44 0.6× 10 0.2× 8 0.3× 24 269
Amir Hossein Mohammadi 70 0.5× 8 0.1× 74 1.1× 94 2.0× 14 0.5× 37 310
Wanzhen Liu 65 0.5× 13 0.1× 100 1.5× 49 1.0× 41 1.4× 24 315
Chuan Tang Wang 258 2.0× 126 1.1× 84 1.2× 7 0.1× 5 0.2× 42 294
Sheron Simpson 88 0.7× 22 0.2× 74 1.1× 54 1.1× 18 0.6× 23 181
Guilherme G. da Silva 29 0.2× 17 0.1× 22 0.3× 62 1.3× 11 0.4× 26 291

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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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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