Shelesh Agrawal

2.0k total citations
35 papers, 1.5k citations indexed

About

Shelesh Agrawal is a scholar working on Pollution, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Shelesh Agrawal has authored 35 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pollution, 11 papers in Infectious Diseases and 9 papers in Molecular Biology. Recurrent topics in Shelesh Agrawal's work include Wastewater Treatment and Nitrogen Removal (14 papers), SARS-CoV-2 detection and testing (11 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Shelesh Agrawal is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (14 papers), SARS-CoV-2 detection and testing (11 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Shelesh Agrawal collaborates with scholars based in Germany, Japan and Netherlands. Shelesh Agrawal's co-authors include Susanne Lackner, Eva M. Gilbert, Harald Horn, Laura Orschler, Thomas Schwartz, Søren Michael Karst, Per Halkjær Nielsen, Siegfried E. Vlaeminck, Dries Seuntjens and Fabian Brunner and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Water Research.

In The Last Decade

Shelesh Agrawal

34 papers receiving 1.5k citations

Peers

Shelesh Agrawal
Shelesh Agrawal
Citations per year, relative to Shelesh Agrawal Shelesh Agrawal (= 1×) peers Juliana Calábria de Araújo

Countries citing papers authored by Shelesh Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Shelesh Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelesh Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Shelesh Agrawal. A scholar is included among the top collaborators of Shelesh Agrawal 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 Shelesh Agrawal. Shelesh Agrawal 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.
Richard, Hugues, Matthew J. Wade, Shelesh Agrawal, et al.. (2025). Augmentation of wastewater-based epidemiology with machine learning to support global health surveillance. Nature Water. 3(7). 753–763. 2 indexed citations
2.
Braun, Ulrike, Claus Gerhard Bannick, Timo Greiner, et al.. (2025). Swift Realisation of Wastewater-Based SARS-CoV-2 Surveillance for Aircraft and Airports: Challenges from Sampling to Variant Detection. Microorganisms. 13(8). 1856–1856.
3.
Agrawal, Shelesh, et al.. (2024). Impact of reference design on estimating SARS-CoV-2 lineage abundances from wastewater sequencing data. GigaScience. 13. 3 indexed citations
5.
Agrawal, Shelesh, et al.. (2022). Characterization and evaluation of waste stabilization pond systems in Namibia. H2Open Journal. 5(2). 365–378. 4 indexed citations
6.
Agrawal, Shelesh, et al.. (2022). Efficacy of thermal hydrolysis for boosting specific methane yield depending on temperature-normalized solids retention time in an activated sludge process. Environmental Science Water Research & Technology. 8(12). 2971–2980. 6 indexed citations
7.
Wilhelm, Alexander, Shelesh Agrawal, Laura Orschler, et al.. (2022). Wastewater surveillance allows early detection of SARS-CoV-2 omicron in North Rhine-Westphalia, Germany. The Science of The Total Environment. 846. 157375–157375. 13 indexed citations
8.
Agrawal, Shelesh, Laura Orschler, Leo Heijnen, et al.. (2022). Prevalence and circulation patterns of SARS-CoV-2 variants in European sewage mirror clinical data of 54 European cities. Water Research. 214. 118162–118162. 49 indexed citations
9.
Kampouris, Ioannis D., ‪Nikiforos Alygizakis, Uli Klümper, et al.. (2021). Elevated levels of antibiotic resistance in groundwater during treated wastewater irrigation associated with infiltration and accumulation of antibiotic residues. Journal of Hazardous Materials. 423(Pt B). 127155–127155. 31 indexed citations
10.
Kampouris, Ioannis D., Shelesh Agrawal, Laura Orschler, et al.. (2021). Antibiotic resistance gene load and irrigation intensity determine the impact of wastewater irrigation on antimicrobial resistance in the soil microbiome. Water Research. 193. 116818–116818. 53 indexed citations
11.
Agrawal, Shelesh, Laura Orschler, & Susanne Lackner. (2021). Long-term monitoring of SARS-CoV-2 RNA in wastewater of the Frankfurt metropolitan area in Southern Germany. Scientific Reports. 11(1). 5372–5372. 90 indexed citations
12.
Calderón-Franco, David, Laura Orschler, Susanne Lackner, Shelesh Agrawal, & David G. Weissbrodt. (2021). Monitoring SARS-CoV-2 in sewage: Toward sentinels with analytical accuracy. The Science of The Total Environment. 804. 150244–150244. 16 indexed citations
13.
Orschler, Laura, et al.. (2020). Membrane aerated biofilm reactors for mainstream partial nitritation/anammox: Experiences using real municipal wastewater. Water Research X. 9. 100066–100066. 81 indexed citations
14.
Agrawal, Shelesh, Toshikazu Suenaga, Shohei Riya, et al.. (2020). Exploration and enrichment of methane-oxidizing bacteria derived from a rice paddy field emitting highly concentrated methane. Journal of Bioscience and Bioengineering. 130(3). 311–318. 9 indexed citations
15.
Agrawal, Shelesh, David G. Weissbrodt, Medini K. Annavajhala, et al.. (2020). Time to act–assessing variations in qPCR analyses in biological nitrogen removal with examples from partial nitritation/anammox systems. Water Research. 190. 116604–116604. 9 indexed citations
16.
Kampouris, Ioannis D., Uli Klümper, Shelesh Agrawal, et al.. (2020). Treated wastewater irrigation promotes the spread of antibiotic resistance into subsoil pore-water. Environment International. 146. 106190–106190. 28 indexed citations
17.
Orschler, Laura, Shelesh Agrawal, & Susanne Lackner. (2019). On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors. Scientific Reports. 9(1). 6954–6954. 33 indexed citations
18.
Seuntjens, Dries, José M. Carvajal‐Arroyo, Samuel Lochmatter, et al.. (2018). High-resolution mapping and modeling of anammox recovery from recurrent oxygen exposure. Water Research. 144. 522–531. 61 indexed citations
19.
Agrawal, Shelesh, et al.. (2018). Success of mainstream partial nitritation/anammox demands integration of engineering, microbiome and modeling insights. Current Opinion in Biotechnology. 50. 214–221. 126 indexed citations
20.
Agrawal, Shelesh, Søren Michael Karst, Eva M. Gilbert, et al.. (2017). The role of inoculum and reactor configuration for microbial community composition and dynamics in mainstream partial nitritation anammox reactors. MicrobiologyOpen. 6(4). 35 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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