M. Thirunavoukkarasu

27 total papers · 587 total citations
26 papers, 468 citations indexed

About

M. Thirunavoukkarasu is a scholar working on Plant Science, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, M. Thirunavoukkarasu has authored 26 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 13 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in M. Thirunavoukkarasu's work include Plant tissue culture and regeneration (12 papers), Electrochemical sensors and biosensors (5 papers) and Plant Genetic and Mutation Studies (3 papers). M. Thirunavoukkarasu is often cited by papers focused on Plant tissue culture and regeneration (12 papers), Electrochemical sensors and biosensors (5 papers) and Plant Genetic and Mutation Studies (3 papers). M. Thirunavoukkarasu collaborates with scholars based in India, Italy and Brazil. M. Thirunavoukkarasu's co-authors include Prasan Kumar Panda, B.K. Mishra, Sunil Kumar Behera, Pranati Nayak, A. Carmalin Sophia, Éder C. Lima, Pradeep K. Chand, Bamaprasad Bag, Manoranjan Nayak and Mayilvahanan Aarthy and has published in prestigious journals such as Sensors and Actuators B Chemical, RSC Advances and Industrial Crops and Products.

In The Last Decade

M. Thirunavoukkarasu

23 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
M. Thirunavoukkarasu	142	131	128	112	66	26	468
Kumaran Shanmugam	104 0.7×	146 1.1×	96 0.8×	87 0.8×	9 0.1×	43	535
Gurpreet Kaur Sidhu	105 0.7×	65 0.5×	145 1.1×	36 0.3×	17 0.3×	14	469
Yang Guan-e	106 0.7×	224 1.7×	51 0.4×	129 1.2×	47 0.7×	18	500
Zaid Mahmood	77 0.5×	117 0.9×	91 0.7×	103 0.9×	14 0.2×	33	499
Fuhuan Chao	156 1.1×	66 0.5×	62 0.5×	107 1.0×	7 0.1×	27	544
Sikandar Khan	125 0.9×	282 2.2×	77 0.6×	177 1.6×	13 0.2×	24	551
Xinhong Wang	142 1.0×	88 0.7×	97 0.8×	64 0.6×	5 0.1×	35	486
Amanda Pacholak	102 0.7×	48 0.4×	47 0.4×	52 0.5×	19 0.3×	30	458
Yue Jian	198 1.4×	65 0.5×	211 1.6×	19 0.2×	12 0.2×	45	543
Hamza Rafeeq	89 0.6×	75 0.6×	71 0.6×	98 0.9×	30 0.5×	25	522

Countries citing papers authored by M. Thirunavoukkarasu

Since Specialization

Citations

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

Fields of papers citing papers by M. Thirunavoukkarasu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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