Maneesha Aggarwal

11 total papers · 793 total citations
8 papers, 547 citations indexed

About

Maneesha Aggarwal is a scholar working on Health, Toxicology and Mutagenesis, Speech and Hearing and Atmospheric Science. According to data from OpenAlex, Maneesha Aggarwal has authored 8 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Health, Toxicology and Mutagenesis, 2 papers in Speech and Hearing and 2 papers in Atmospheric Science. Recurrent topics in Maneesha Aggarwal's work include Air Quality and Health Impacts (5 papers), Atmospheric chemistry and aerosols (2 papers) and Air Quality Monitoring and Forecasting (2 papers). Maneesha Aggarwal is often cited by papers focused on Air Quality and Health Impacts (5 papers), Atmospheric chemistry and aerosols (2 papers) and Air Quality Monitoring and Forecasting (2 papers). Maneesha Aggarwal collaborates with scholars based in United States, India and Netherlands. Maneesha Aggarwal's co-authors include Patrick L. Kinney, Mary E. Northridge, Nicole Janssen, C. K. Varshney, Peggy Shepard, Ginger L. Chew, Courtney Bell, Robin M. Whyatt, Frederica P. Perera and Jean G. Ford and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, American Journal of Public Health and Environmental Health Perspectives.

In The Last Decade

Maneesha Aggarwal

7 papers receiving 507 citations

Author Peers

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

Author						Papers	Cites
Maneesha Aggarwal	362	136	127	106	92	8	547
Christine Rioux	397 1.1×	120 0.9×	182 1.4×	85 0.8×	115 1.3×	12	504
Marie Cooper	305 0.8×	74 0.5×	74 0.6×	24 0.2×	170 1.8×	14	504
Yaqin Pan	393 1.1×	159 1.2×	77 0.6×	103 1.0×	39 0.4×	8	568
Okhee Yi	358 1.0×	92 0.7×	25 0.2×	31 0.3×	71 0.8×	8	467
Sofie De Prins	317 0.9×	95 0.7×	43 0.3×	33 0.3×	49 0.5×	12	614
Arne Marian Leitte	425 1.2×	132 1.0×	64 0.5×	80 0.8×	54 0.6×	12	480
Reto Meier	451 1.2×	218 1.6×	89 0.7×	71 0.7×	124 1.3×	20	598
Thomas Dumyahn	427 1.2×	122 0.9×	100 0.8×	73 0.7×	91 1.0×	13	492
L-J Sally Liu	530 1.5×	217 1.6×	81 0.6×	46 0.4×	205 2.2×	6	593
Toyib Olaniyan	335 0.9×	119 0.9×	46 0.4×	46 0.4×	108 1.2×	28	448

Countries citing papers authored by Maneesha Aggarwal

Since Specialization

Citations

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

Fields of papers citing papers by Maneesha Aggarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maneesha Aggarwal

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