P. Neeraja

53 total papers · 734 total citations
32 papers, 618 citations indexed

About

P. Neeraja is a scholar working on Organic Chemistry, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, P. Neeraja has authored 32 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Organic Chemistry, 7 papers in Materials Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in P. Neeraja's work include Computational Drug Discovery Methods (6 papers), Magnetic Properties and Synthesis of Ferrites (5 papers) and Synthesis and biological activity (5 papers). P. Neeraja is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Magnetic Properties and Synthesis of Ferrites (5 papers) and Synthesis and biological activity (5 papers). P. Neeraja collaborates with scholars based in India, South Korea and Cyprus. P. Neeraja's co-authors include V. Umapathy, A. Manikandan, S. Arul Antony, P. Ramu, S. Rex Jeya Rajkumar, Y. Suneetha, N. Savithramma, Pulicherla Yugandhar, Mukesh Kumar and J. Nandhini and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Food and Chemical Toxicology and Environmental Science and Pollution Research.

In The Last Decade

P. Neeraja

28 papers receiving 603 citations

Author Peers

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

Author						Papers	Cites
P. Neeraja	318	183	150	136	82	32	618
Zili Xu	258 0.8×	161 0.9×	158 1.1×	104 0.8×	76 0.9×	31	535
Arumugam Manivel	293 0.9×	198 1.1×	180 1.2×	64 0.5×	80 1.0×	29	575
E. Sundaravadivel	336 1.1×	203 1.1×	183 1.2×	63 0.5×	92 1.1×	38	578
Akanksha Gupta	325 1.0×	159 0.9×	175 1.2×	91 0.7×	53 0.6×	41	657
Mehwish Akhtar	211 0.7×	156 0.9×	264 1.8×	91 0.7×	68 0.8×	22	578
R. Parimaladevi	390 1.2×	196 1.1×	76 0.5×	203 1.5×	60 0.7×	46	574
Debika Gogoi	378 1.2×	265 1.4×	260 1.7×	244 1.8×	110 1.3×	29	632
R. Hemamalini	299 0.9×	291 1.6×	90 0.6×	77 0.6×	130 1.6×	23	624
Yunyun Wang	238 0.7×	122 0.7×	125 0.8×	85 0.6×	87 1.1×	22	610
Navneet Kaur	337 1.1×	287 1.6×	103 0.7×	77 0.6×	122 1.5×	31	610

Countries citing papers authored by P. Neeraja

Since Specialization

Citations

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

Fields of papers citing papers by P. Neeraja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Neeraja

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