Newsha Ghaeli

2.4k total citations · 1 hit paper
5 papers, 734 citations indexed

About

Newsha Ghaeli is a scholar working on Infectious Diseases, Biomedical Engineering and Pollution. According to data from OpenAlex, Newsha Ghaeli has authored 5 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Biomedical Engineering and 2 papers in Pollution. Recurrent topics in Newsha Ghaeli's work include SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Biosensors and Analytical Detection (2 papers). Newsha Ghaeli is often cited by papers focused on SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Biosensors and Analytical Detection (2 papers). Newsha Ghaeli collaborates with scholars based in United States, Singapore and Russia. Newsha Ghaeli's co-authors include Mariana Matus, Timothy B. Erickson, Claire Duvallet, Noriko Endo, Eric J. Alm, Peter R. Chai, Fuqing Wu, Jianbo Zhang, Amy Xiao and Xiaoqiong Gu and has published in prestigious journals such as SHILAP Revista de lepidopterología, mSystems and Journal of Medical Toxicology.

In The Last Decade

Newsha Ghaeli

5 papers receiving 722 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases

2020 593 citations Fuqing Wu, Jianbo Zhang et al. mSystems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Newsha Ghaeli United States	5	661	353	110	110	66	5	734
Mariana Matus United States	9	683 1.0×	367 1.0×	143 1.3×	112 1.0×	78 1.2×	10	818
Amy Xiao United States	7	697 1.1×	359 1.0×	137 1.2×	114 1.0×	55 0.8×	7	784
Patrick M. D’Aoust Canada	12	795 1.2×	438 1.2×	145 1.3×	136 1.2×	42 0.6×	26	899
Byron Freire‐Paspuel Ecuador	16	515 0.8×	134 0.4×	93 0.8×	92 0.8×	63 1.0×	32	677
Francesca Romeri Italy	6	355 0.5×	147 0.4×	55 0.5×	67 0.6×	55 0.8×	8	481
Anna Gigantiello Italy	3	349 0.5×	146 0.4×	40 0.4×	67 0.6×	55 0.8×	4	423
Lauren Ward United States	6	381 0.6×	218 0.6×	74 0.7×	67 0.6×	37 0.6×	8	447
Shalina Shahin United States	4	381 0.6×	223 0.6×	75 0.7×	67 0.6×	36 0.5×	8	458
Francesca Cutrupi Italy	6	328 0.5×	155 0.4×	54 0.5×	68 0.6×	42 0.6×	8	390
Janvi Raval India	3	325 0.5×	156 0.4×	62 0.6×	48 0.4×	37 0.6×	4	380

Countries citing papers authored by Newsha Ghaeli

Since Specialization

Citations

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

Fields of papers citing papers by Newsha Ghaeli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Newsha Ghaeli

This figure shows the co-authorship network connecting the top 25 collaborators of Newsha Ghaeli. A scholar is included among the top collaborators of Newsha Ghaeli 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 Newsha Ghaeli. Newsha Ghaeli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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5 of 5 papers shown

1.

Duvallet, Claire, Fuqing Wu, Kyle A. McElroy, et al.. (2022). Nationwide Trends in COVID-19 Cases and SARS-CoV-2 RNA Wastewater Concentrations in the United States. ACS ES&T Water. 2(11). 1899–1909. 58 indexed citations

2.

Erickson, Timothy B., Noriko Endo, Claire Duvallet, et al.. (2021). “Waste Not, Want Not” — Leveraging Sewer Systems and Wastewater-Based Epidemiology for Drug Use Trends and Pharmaceutical Monitoring. Journal of Medical Toxicology. 17(4). 397–410. 29 indexed citations

3.

Endo, Noriko, Claire Duvallet, Newsha Ghaeli, et al.. (2021). Wastewater network infrastructure in public health: Applications and learnings from the COVID-19 pandemic. SHILAP Revista de lepidopterología. 1(12). e0000061–e0000061. 31 indexed citations

4.

Endo, Noriko, Newsha Ghaeli, Claire Duvallet, et al.. (2020). Rapid Assessment of Opioid Exposure and Treatment in Cities Through Robotic Collection and Chemical Analysis of Wastewater. Journal of Medical Toxicology. 16(2). 195–203. 23 indexed citations

5.

Wu, Fuqing, Jianbo Zhang, Amy Xiao, et al.. (2020). SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases. mSystems. 5(4). 593 indexed citations breakdown →

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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