M. Nandhini

17 total papers · 470 total citations
11 papers, 318 citations indexed

About

M. Nandhini is a scholar working on Plant Science, Food Science and Materials Chemistry. According to data from OpenAlex, M. Nandhini has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 3 papers in Food Science and 3 papers in Materials Chemistry. Recurrent topics in M. Nandhini's work include Essential Oils and Antimicrobial Activity (3 papers), Nanoparticles: synthesis and applications (3 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). M. Nandhini is often cited by papers focused on Essential Oils and Antimicrobial Activity (3 papers), Nanoparticles: synthesis and applications (3 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). M. Nandhini collaborates with scholars based in India, Denmark and Saudi Arabia. M. Nandhini's co-authors include Ole Lund, A. C. Udayashankar, H. S. Prakash, S.R. Niranjana, H. Shekar Shetty, S. Umesha, Hua‐Li Qin, Siddapura Ramachandrappa Niranjana, Praveen Nagella and Fatima M. Alessa and has published in prestigious journals such as Molecules, Journal of the Science of Food and Agriculture and Crop Protection.

In The Last Decade

M. Nandhini

10 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
M. Nandhini	167	70	52	50	50	11	318
Mona Khaleil	161 1.0×	107 1.5×	36 0.7×	46 0.9×	41 0.8×	7	296
Akram Amani	136 0.8×	82 1.2×	61 1.2×	52 1.0×	40 0.8×	8	310
Maryam Ajmal	184 1.1×	69 1.0×	35 0.7×	16 0.3×	78 1.6×	21	333
Ghada Khiralla	127 0.8×	80 1.1×	82 1.6×	18 0.4×	61 1.2×	18	340
Anastasia Dimopoulou	209 1.3×	109 1.6×	87 1.7×	35 0.7×	42 0.8×	9	366
P. Jishma	126 0.8×	65 0.9×	50 1.0×	21 0.4×	17 0.3×	17	260
P. K. Agrawal	165 1.0×	33 0.5×	72 1.4×	69 1.4×	46 0.9×	10	337
Marco Nuno De Canha	77 0.5×	26 0.4×	75 1.4×	33 0.7×	67 1.3×	15	284
Seon‐Mi Seo	162 1.0×	43 0.6×	50 1.0×	34 0.7×	147 2.9×	17	332
Leona Daniela Jeffery Daim	160 1.0×	44 0.6×	45 0.9×	27 0.5×	44 0.9×	19	292

Countries citing papers authored by M. Nandhini

Since Specialization

Citations

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

Fields of papers citing papers by M. Nandhini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nandhini

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