G. Prabakaran

33 total papers · 587 total citations
24 papers, 451 citations indexed

About

G. Prabakaran is a scholar working on Spectroscopy, Molecular Biology and Materials Chemistry. According to data from OpenAlex, G. Prabakaran has authored 24 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Spectroscopy, 13 papers in Molecular Biology and 12 papers in Materials Chemistry. Recurrent topics in G. Prabakaran's work include Molecular Sensors and Ion Detection (23 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Luminescence and Fluorescent Materials (11 papers). G. Prabakaran is often cited by papers focused on Molecular Sensors and Ion Detection (23 papers), Advanced biosensing and bioanalysis techniques (12 papers) and Luminescence and Fluorescent Materials (11 papers). G. Prabakaran collaborates with scholars based in India, Saudi Arabia and China. G. Prabakaran's co-authors include Raju Nandhakumar, C. Immanuel David, K. Velmurugan, J. Prabhu, Abiram Angamuthu, R. Karthick, G. Velraj, Raju Suresh Kumar, Suresh Sagadevan and Abdulrahman I. Almansour and has published in prestigious journals such as Journal of Hazardous Materials, Journal of Agricultural and Food Chemistry and Food Chemistry.

In The Last Decade

G. Prabakaran

21 papers receiving 445 citations

Author Peers

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

Author						Papers	Cites
G. Prabakaran	356	204	142	120	108	24	451
Chun Kan	341 1.0×	215 1.1×	166 1.2×	100 0.8×	83 0.8×	26	441
Rahul Bhowmick	400 1.1×	227 1.1×	183 1.3×	111 0.9×	123 1.1×	22	529
Kwon Hee Bok	363 1.0×	231 1.1×	137 1.0×	127 1.1×	114 1.1×	14	495
Ju Byeong Chae	453 1.3×	231 1.1×	201 1.4×	169 1.4×	127 1.2×	24	528
Fasil A. Abebe	384 1.1×	232 1.1×	163 1.1×	95 0.8×	106 1.0×	25	510
Dongju Yun	414 1.2×	207 1.0×	175 1.2×	132 1.1×	147 1.4×	19	473
Rukmani Chandra	364 1.0×	179 0.9×	128 0.9×	123 1.0×	96 0.9×	12	434
Dhanapal Jothi	433 1.2×	282 1.4×	144 1.0×	94 0.8×	113 1.0×	28	529
Meman Sahu	367 1.0×	146 0.7×	129 0.9×	178 1.5×	93 0.9×	16	447
Gohar Deilamy‐Rad	332 0.9×	188 0.9×	136 1.0×	116 1.0×	123 1.1×	28	512

Countries citing papers authored by G. Prabakaran

Since Specialization

Citations

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

Fields of papers citing papers by G. Prabakaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Prabakaran

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