Monika Gaba

13 total papers · 1.1k total citations
13 papers, 898 citations indexed

About

Monika Gaba is a scholar working on Organic Chemistry, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Monika Gaba has authored 13 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 5 papers in Pharmacology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Monika Gaba's work include Synthesis and biological activity (8 papers), Inflammatory mediators and NSAID effects (5 papers) and Computational Drug Discovery Methods (3 papers). Monika Gaba is often cited by papers focused on Synthesis and biological activity (8 papers), Inflammatory mediators and NSAID effects (5 papers) and Computational Drug Discovery Methods (3 papers). Monika Gaba collaborates with scholars based in India and United States. Monika Gaba's co-authors include Chander Mohan, Sarbjot Singh, Neelima Dhingra, Vikas Sharma, Dhandeep Singh, Ghanshyam Das Gupta, Om Silakari, Malkeet Singh Bahia, Malleshappa N. Noolvi and Harun Patel and has published in prestigious journals such as European Journal of Medicinal Chemistry, Acta Pharmaceutica Sinica B and Arabian Journal of Chemistry.

In The Last Decade

Monika Gaba

13 papers receiving 865 citations

Author Peers

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

Author						Papers	Cites
Monika Gaba	714	182	102	69	64	13	898
Mohd Asif	822 1.2×	161 0.9×	91 0.9×	73 1.1×	59 0.9×	22	965
C.S. Shantharam	573 0.8×	310 1.7×	58 0.6×	64 0.9×	56 0.9×	18	819
Faiz A. Al‐aizari	752 1.1×	104 0.6×	83 0.8×	63 0.9×	60 0.9×	20	956
Omprakash Tanwar	671 0.9×	229 1.3×	137 1.3×	61 0.9×	97 1.5×	25	900
Chander Mohan	682 1.0×	192 1.1×	70 0.7×	59 0.9×	56 0.9×	26	824
Baoqing Gong	546 0.8×	270 1.5×	86 0.8×	38 0.6×	56 0.9×	16	865
Farah Nawaz	660 0.9×	239 1.3×	95 0.9×	72 1.0×	110 1.7×	12	874
Sakineh Dadashpour	599 0.8×	226 1.2×	54 0.5×	71 1.0×	111 1.7×	9	789
Michael D. Mullican	684 1.0×	268 1.5×	110 1.1×	57 0.8×	101 1.6×	22	915
Sunil Kamboj	537 0.8×	161 0.9×	74 0.7×	187 2.7×	103 1.6×	19	876

Countries citing papers authored by Monika Gaba

Since Specialization

Citations

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

Fields of papers citing papers by Monika Gaba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monika Gaba

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