Ajay Manaithiya

32 total papers · 453 total citations
16 papers, 247 citations indexed

About

Ajay Manaithiya is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Ajay Manaithiya has authored 16 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 7 papers in Molecular Biology and 6 papers in Computational Theory and Mathematics. Recurrent topics in Ajay Manaithiya's work include Computational Drug Discovery Methods (6 papers), Synthesis and biological activity (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). Ajay Manaithiya is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Synthesis and biological activity (4 papers) and Synthesis and Characterization of Heterocyclic Compounds (3 papers). Ajay Manaithiya collaborates with scholars based in India, Saudi Arabia and Finland. Ajay Manaithiya's co-authors include Ozair Alam, Vrinda Sharma, Mohd Imran, Parth Bhatia, Perwaiz Alam, Md Tauquir Alam, Mohd. Javed Naim, Faiyaz Shakeel, Nadeem Siddiqui and Sultan Alshehri and has published in prestigious journals such as Molecules, Journal of Ethnopharmacology and European Journal of Medicinal Chemistry.

In The Last Decade

Ajay Manaithiya

15 papers receiving 241 citations

Author Peers

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

Author						Papers	Cites
Ajay Manaithiya	138	99	43	36	30	16	247
Guangxin Xia	100 0.7×	185 1.9×	46 1.1×	39 1.1×	21 0.7×	30	327
Leslie J. Askonas	59 0.4×	116 1.2×	47 1.1×	61 1.7×	16 0.5×	14	309
Vrinda Sharma	149 1.1×	84 0.8×	32 0.7×	23 0.6×	24 0.8×	10	255
Arun A. Gupta	153 1.1×	164 1.7×	21 0.5×	22 0.6×	26 0.9×	16	328
Takatoshi Kosaka	74 0.5×	131 1.3×	42 1.0×	12 0.3×	38 1.3×	14	296
Davide Bonanni	93 0.7×	169 1.7×	48 1.1×	19 0.5×	33 1.1×	12	290
Naoya Matsumura	75 0.5×	81 0.8×	30 0.7×	14 0.4×	17 0.6×	21	286
Palak K. Parikh	56 0.4×	155 1.6×	36 0.8×	28 0.8×	23 0.8×	23	329
Manuel Jonathan Fragoso-Vázquez	72 0.5×	179 1.8×	26 0.6×	16 0.4×	47 1.6×	27	319
Dong‐Ming Shen	116 0.8×	132 1.3×	19 0.4×	29 0.8×	10 0.3×	23	293

Countries citing papers authored by Ajay Manaithiya

Since Specialization

Citations

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

Fields of papers citing papers by Ajay Manaithiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajay Manaithiya

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