Manish Arora

6.9k total citations
189 papers, 4.6k citations indexed

About

Manish Arora is a scholar working on Health, Toxicology and Mutagenesis, Nutrition and Dietetics and Molecular Biology. According to data from OpenAlex, Manish Arora has authored 189 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Health, Toxicology and Mutagenesis, 33 papers in Nutrition and Dietetics and 20 papers in Molecular Biology. Recurrent topics in Manish Arora's work include Heavy Metal Exposure and Toxicity (65 papers), Mercury impact and mitigation studies (37 papers) and Trace Elements in Health (20 papers). Manish Arora is often cited by papers focused on Heavy Metal Exposure and Toxicity (65 papers), Mercury impact and mitigation studies (37 papers) and Trace Elements in Health (20 papers). Manish Arora collaborates with scholars based in United States, Australia and Mexico. Manish Arora's co-authors include Christine Austin, Robert O. Wright, Syam S. Andra, Chris Gennings, Dominic J. Hare, Philip Doble, Donald R. Smith, Paul Curtin, Brenda Eskenazi and Asa Bradman and has published in prestigious journals such as Nature, Nature Communications and Environmental Science & Technology.

In The Last Decade

Manish Arora

177 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Arora United States 43 2.3k 724 503 486 385 189 4.6k
Christine Austin United States 38 1.6k 0.7× 561 0.8× 347 0.7× 344 0.7× 370 1.0× 108 3.2k
Lourdes Schnaas Mexico 43 4.9k 2.1× 1.8k 2.5× 282 0.6× 1.4k 2.9× 26 0.1× 144 6.8k
Jesús Ibarluzea Spain 41 2.7k 1.2× 435 0.6× 210 0.4× 331 0.7× 27 0.1× 180 5.1k
Birgit Claus Henn United States 32 4.4k 1.9× 1.3k 1.8× 207 0.4× 917 1.9× 34 0.1× 93 5.6k
Patrick J. Parsons United States 42 4.6k 2.0× 1.5k 2.0× 501 1.0× 1.5k 3.1× 77 0.2× 236 6.9k
Gina Muckle Canada 43 3.3k 1.4× 702 1.0× 227 0.5× 326 0.7× 6 0.0× 170 5.6k
Gunnar Johanson Sweden 38 1.7k 0.8× 131 0.2× 462 0.9× 289 0.6× 181 0.5× 209 4.5k
David Bellinger United States 41 4.3k 1.9× 1.7k 2.3× 228 0.5× 1.2k 2.4× 23 0.1× 112 6.9k
Andrejs Schütz Sweden 48 4.5k 2.0× 1.5k 2.1× 295 0.6× 1.6k 3.3× 38 0.1× 131 6.2k
Anatoly V. Skalny Russia 41 2.2k 1.0× 2.1k 2.9× 719 1.4× 538 1.1× 12 0.0× 252 5.6k

Countries citing papers authored by Manish Arora

Since Specialization
Citations

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

Fields of papers citing papers by Manish Arora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Arora

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

All Works

20 of 20 papers shown
1.
2.
Lin, Pi‐I D., Christine Austin, Sheryl L. Rifas‐Shiman, et al.. (2025). Dentin Metal and Trace Elements in Deciduous Teeth: Findings from Project Viva. Environmental Science & Technology. 59(29). 15027–15036.
3.
Miller, Mark R., Philip J. Landrigan, Manish Arora, et al.. (2024). Water, Soil, Noise, and Light Pollution. Journal of the American College of Cardiology. 83(23). 2308–2323. 5 indexed citations
4.
Midya, Vishal, Chris Gennings, Jill Gregory, et al.. (2023). Prenatal Lead Exposure Is Associated with Reduced Abundance of Beneficial Gut Microbial Cliques in Late Childhood: An Investigation Using Microbial Co-Occurrence Analysis (MiCA). Environmental Science & Technology. 57(44). 16800–16810. 13 indexed citations
5.
6.
Austin, Christine, Paul Curtin, Manish Arora, et al.. (2022). Elemental Dynamics in Hair Accurately Predict Future Autism Spectrum Disorder Diagnosis: An International Multi-Center Study. Journal of Clinical Medicine. 11(23). 7154–7154. 9 indexed citations
7.
Smith, Tanya M., Christine Austin, J Avila, et al.. (2022). Permanent signatures of birth and nursing initiation are chemically recorded in teeth. Journal of Archaeological Science. 140. 105564–105564. 18 indexed citations
8.
Papakyrikos, Amanda M., Manish Arora, Christine Austin, et al.. (2020). Biological clocks and incremental growth line formation in dentine. Journal of Anatomy. 237(2). 367–378. 24 indexed citations
9.
García-Sánchez, Antonio-Javier, Joan Garcı́a-Haro, Eduardo Pinar, et al.. (2019). Symbolic Recurrence Analysis of RR Interval to Detect Atrial Fibrillation. Journal of Clinical Medicine. 8(11). 1840–1840. 6 indexed citations
10.
Zhang, Pei, Manish Arora, Romanas Chaleckis, et al.. (2019). Tackling the Complexity of the Exposome: Considerations from the Gunma University Initiative for Advanced Research (GIAR) Exposome Symposium. Metabolites. 9(6). 106–106. 17 indexed citations
11.
Liu, Shelley H., Jennifer F. Bobb, Birgit Claus Henn, et al.. (2018). Modeling the health effects of time‐varying complex environmental mixtures: Mean field variational Bayes for lagged kernel machine regression. Environmetrics. 29(4). 22 indexed citations
12.
Smith, Tanya M., Christine Austin, Daniel R. Green, et al.. (2018). Wintertime stress, nursing, and lead exposure in Neanderthal children. Science Advances. 4(10). eaau9483–eaau9483. 70 indexed citations
13.
Morris‐Schaffer, Keith, Marissa Sobolewski, Joshua L. Allen, et al.. (2018). Effect of neonatal hyperoxia followed by concentrated ambient ultrafine particle exposure on cumulative learning in C57Bl/6J mice. NeuroToxicology. 67. 234–244. 10 indexed citations
14.
Liu, Shelley H., Jennifer F. Bobb, Birgit Claus Henn, et al.. (2018). Bayesian varying coefficient kernel machine regression to assess neurodevelopmental trajectories associated with exposure to complex mixtures. Statistics in Medicine. 37(30). 4680–4694. 49 indexed citations
15.
Arora, Manish, Abraham Reichenberg, Charlotte Willfors, et al.. (2017). Fetal and postnatal metal dysregulation in autism. Nature Communications. 8(1). 15493–15493. 127 indexed citations
16.
Bambino, Kathryn, Christine Austin, Chitra Amarasiriwardena, et al.. (2017). Inorganic arsenic causes fatty liver and interacts with ethanol to cause alcoholic liver disease in zebrafish. Disease Models & Mechanisms. 11(2). 50 indexed citations
17.
Smith, Tanya M., Christine Austin, Katie Hinde, Erin R. Vogel, & Manish Arora. (2017). Cyclical nursing patterns in wild orangutans. Science Advances. 3(5). e1601517–e1601517. 42 indexed citations
18.
Niedzwiecki, Megan M., Christine Austin, Romain Remark, et al.. (2016). A multimodal imaging workflow to visualize metal mixtures in the human placenta and explore colocalization with biological response markers. Metallomics. 8(4). 444–452. 21 indexed citations
19.
Smith, Donald R., Elaine Hoffman, Manish Arora, et al.. (2012). S-039. Epidemiology. 23. 1–1. 1 indexed citations
20.
Arora, Manish, et al.. (2006). High Quality Blind Bandwidth Extension of Audio for Portable Player Applications. Journal of the Audio Engineering Society. 4 indexed citations

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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