Tarun Anumol

2.7k total citations
44 papers, 2.2k citations indexed

About

Tarun Anumol is a scholar working on Health, Toxicology and Mutagenesis, Pollution and Industrial and Manufacturing Engineering. According to data from OpenAlex, Tarun Anumol has authored 44 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Health, Toxicology and Mutagenesis, 18 papers in Pollution and 9 papers in Industrial and Manufacturing Engineering. Recurrent topics in Tarun Anumol's work include Pharmaceutical and Antibiotic Environmental Impacts (16 papers), Water Treatment and Disinfection (13 papers) and Toxic Organic Pollutants Impact (10 papers). Tarun Anumol is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (16 papers), Water Treatment and Disinfection (13 papers) and Toxic Organic Pollutants Impact (10 papers). Tarun Anumol collaborates with scholars based in United States, Australia and Singapore. Tarun Anumol's co-authors include Shane A. Snyder, Minkyu Park, Bradley O. Clarke, Massimiliano Sgroi, Paolo Roccaro, Thomas M. Young, Federico G.A. Vagliasindi, Morton A. Barlaz, Christoph Moschet and Sylvain Merel and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Tarun Anumol

43 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tarun Anumol United States 29 903 897 559 544 334 44 2.2k
Heath Mash United States 17 1.1k 1.2× 729 0.8× 549 1.0× 255 0.5× 360 1.1× 25 1.9k
Sara Comero Italy 14 904 1.0× 1.4k 1.5× 514 0.9× 217 0.4× 283 0.8× 26 2.2k
Jordi Sierra Spain 30 889 1.0× 1.0k 1.2× 231 0.4× 442 0.8× 218 0.7× 73 2.5k
Chang-Er Chen China 31 1.1k 1.2× 1.4k 1.6× 292 0.5× 258 0.5× 357 1.1× 86 2.6k
Shirley Anne Smyth Canada 24 1.3k 1.5× 1.7k 1.9× 446 0.8× 348 0.6× 405 1.2× 44 2.7k
Julien Reungoat Australia 13 1.1k 1.2× 1.2k 1.3× 688 1.2× 416 0.8× 303 0.9× 20 2.0k
Benjamin D. Stanford United States 25 1.5k 1.7× 1.5k 1.6× 1.1k 1.9× 484 0.9× 320 1.0× 53 3.1k
Georgia Gatidou Greece 29 1.1k 1.2× 1.7k 1.9× 384 0.7× 655 1.2× 306 0.9× 55 2.8k
Lidia Wolska Poland 29 1.2k 1.3× 862 1.0× 295 0.5× 280 0.5× 178 0.5× 139 3.0k
Naoyuki Yamashita Japan 33 804 0.9× 1.8k 2.0× 832 1.5× 327 0.6× 245 0.7× 135 3.4k

Countries citing papers authored by Tarun Anumol

Since Specialization
Citations

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

Fields of papers citing papers by Tarun Anumol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tarun Anumol

This figure shows the co-authorship network connecting the top 25 collaborators of Tarun Anumol. A scholar is included among the top collaborators of Tarun Anumol 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 Tarun Anumol. Tarun Anumol 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
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Tian, Lei, Daniel J. Cuthbertson, Tarun Anumol, et al.. (2024). Impact of processing steps (filtration, creaming and pasteurization) on the botanical classification of honey using LC-QTOF-MS. Food Research International. 194. 114841–114841. 3 indexed citations
3.
Tian, Lei, et al.. (2024). Development of a LC-QTOF-MS based dilute-and-shoot approach for the botanical discrimination of honeys. Analytica Chimica Acta. 1304. 342536–342536. 8 indexed citations
4.
Lowe, Charles N., Tarun Anumol, Kristin Favela, et al.. (2022). Exploring chemical space in non-targeted analysis: a proposed ChemSpace tool. Analytical and Bioanalytical Chemistry. 415(1). 35–44. 40 indexed citations
5.
Anumol, Tarun, et al.. (2022). Quantitative Analysis of PFAS in Milk, Infant Formula, and Related Ingredients Using LC–MS. LCGC North America. 12–17. 1 indexed citations
6.
Braun, Ulrike, et al.. (2020). Accelerated Determination of Microplastics in Environmental Samples Using Thermal Extraction Desorption-Gas Chromatography/Mass Spectrometry (TED-GC/MS). 4 indexed citations
7.
Anumol, Tarun, et al.. (2019). Analyzing a broader spectrum of endocrine active organic contaminants in sewage sludge with high resolution LC-QTOF-MS suspect screening and QSAR toxicity prediction. Environmental Science Processes & Impacts. 21(7). 1099–1114. 25 indexed citations
8.
Huang, Yuxiong, et al.. (2018). Quantitative analysis of changes in amino acids levels for cucumber (Cucumis sativus) exposed to nano copper. NanoImpact. 12. 9–17. 35 indexed citations
9.
Okada, Elena, Timothy L. Coggan, Tarun Anumol, Bradley O. Clarke, & Graeme Allinson. (2018). A simple and rapid direct injection method for the determination of glyphosate and AMPA in environmental water samples. Analytical and Bioanalytical Chemistry. 411(3). 715–724. 51 indexed citations
10.
Sgroi, Massimiliano, Tarun Anumol, Paolo Roccaro, Federico G.A. Vagliasindi, & Shane A. Snyder. (2018). Modeling emerging contaminants breakthrough in packed bed adsorption columns by UV absorbance and fluorescing components of dissolved organic matter. Water Research. 145. 667–677. 68 indexed citations
11.
Wu, Shimin, et al.. (2017). Analysis of haloacetic acids, bromate, and dalapon in natural waters by ion chromatography–tandem mass spectrometry. Journal of Chromatography A. 1487. 100–107. 31 indexed citations
12.
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Clarke, John, et al.. (2016). Biliary Elimination of Pemetrexed Is Dependent on Mrp2 in Rats: Potential Mechanism of Variable Response in Nonalcoholic Steatohepatitis. Journal of Pharmacology and Experimental Therapeutics. 358(2). 246–253. 11 indexed citations
14.
Sgroi, Massimiliano, Paolo Roccaro, Gregory V. Korshin, et al.. (2016). Use of fluorescence EEM to monitor the removal of emerging contaminants in full scale wastewater treatment plants. Journal of Hazardous Materials. 323(Pt A). 367–376. 142 indexed citations
15.
Lee, Do Gyun, Marina Feraud, Jared Ervin, et al.. (2015). Wastewater compounds in urban shallow groundwater wells correspond to exfiltration probabilities of nearby sewers. Water Research. 85. 467–475. 44 indexed citations
16.
Anumol, Tarun, et al.. (2015). On-line sensor monitoring for chemical contaminant attenuation during UV/H2O2 advanced oxidation process. Water Research. 81. 250–260. 69 indexed citations
17.
Park, Minkyu, Tarun Anumol, & Shane A. Snyder. (2015). Modeling approaches to predict removal of trace organic compounds by ozone oxidation in potable reuse applications. Environmental Science Water Research & Technology. 1(5). 699–708. 19 indexed citations
18.
Hardwick, Rhiannon N., John Clarke, April D. Lake, et al.. (2014). Increased Susceptibility to Methotrexate-Induced Toxicity in Nonalcoholic Steatohepatitis. Toxicological Sciences. 142(1). 45–55. 48 indexed citations
19.
20.
Merel, Sylvain, Tarun Anumol, Minkyu Park, & Shane A. Snyder. (2014). Application of surrogates, indicators, and high-resolution mass spectrometry to evaluate the efficacy of UV processes for attenuation of emerging contaminants in water. Journal of Hazardous Materials. 282. 75–85. 40 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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