Goffe Elsinga

2.8k total citations · 1 hit paper
8 papers, 1.7k citations indexed

About

Goffe Elsinga is a scholar working on Infectious Diseases, Biomedical Engineering and Pollution. According to data from OpenAlex, Goffe Elsinga has authored 8 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Biomedical Engineering and 2 papers in Pollution. Recurrent topics in Goffe Elsinga's work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Biosensors and Analytical Detection (3 papers). Goffe Elsinga is often cited by papers focused on SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Biosensors and Analytical Detection (3 papers). Goffe Elsinga collaborates with scholars based in Netherlands, Spain and Luxembourg. Goffe Elsinga's co-authors include Gertjan Medema, Leo Heijnen, Ronald Italiaander, Miranda de Graaf, Benjamı́n Piña, Luc M. Hornstra, Josep M. Bayona, Francisco Cerqueira, Víctor Matamoros and Marion Koopmans and has published in prestigious journals such as The Science of The Total Environment, Emerging infectious diseases and Environmental Research.

In The Last Decade

Goffe Elsinga

8 papers receiving 1.6k citations

Hit Papers

Presence of SARS-Coronavirus-2 RNA in Sewage and Correlat... 2020 2026 2022 2024 2020 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Goffe Elsinga Netherlands 7 1.3k 719 299 229 195 8 1.7k
Ronald Italiaander Netherlands 10 1.2k 0.9× 586 0.8× 239 0.8× 201 0.9× 172 0.9× 15 1.7k
Bradley W. Schmitz United States 14 874 0.7× 476 0.7× 176 0.6× 135 0.6× 136 0.7× 23 1.2k
Ocean Thakali Japan 17 806 0.6× 424 0.6× 183 0.6× 107 0.5× 138 0.7× 37 1.1k
Bikash Malla Japan 18 884 0.7× 420 0.6× 234 0.8× 97 0.4× 98 0.5× 53 1.3k
Arnau Casanovas‐Massana United States 15 796 0.6× 368 0.5× 219 0.7× 112 0.5× 48 0.2× 27 1.3k
Giusy Bonanno Ferraro Italy 15 1.0k 0.8× 417 0.6× 183 0.6× 151 0.7× 44 0.2× 37 1.3k
Katya Moniz United States 2 607 0.5× 339 0.5× 260 0.9× 86 0.4× 442 2.3× 2 1.2k
Rory Verhagen Australia 10 2.0k 1.5× 1.1k 1.5× 346 1.2× 328 1.4× 167 0.9× 25 2.5k
Carolina Veneri Italy 13 962 0.7× 405 0.6× 167 0.6× 148 0.6× 37 0.2× 31 1.2k
Erin M. Symonds United States 18 1.3k 1.0× 544 0.8× 234 0.8× 115 0.5× 99 0.5× 27 1.9k

Countries citing papers authored by Goffe Elsinga

Since Specialization
Citations

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

Fields of papers citing papers by Goffe Elsinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goffe Elsinga

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

All Works

8 of 8 papers shown
1.
Marchini, Antonio, Mauro Petrillo, Amy Parrish, et al.. (2023). New RT-PCR Assay for the Detection of Current and Future SARS-CoV-2 Variants. Viruses. 15(1). 206–206. 14 indexed citations
2.
Graaf, Miranda de, Jeroen Langeveld, Eelco Franz, et al.. (2023). Capturing the SARS-CoV-2 infection pyramid within the municipality of Rotterdam using longitudinal sewage surveillance. The Science of The Total Environment. 883. 163599–163599. 3 indexed citations
3.
Langeveld, Jeroen, Rémy Schilperoort, Leo Heijnen, et al.. (2022). Normalisation of SARS-CoV-2 concentrations in wastewater: The use of flow, electrical conductivity and crAssphage. The Science of The Total Environment. 865. 161196–161196. 43 indexed citations
4.
Heijnen, Leo, Goffe Elsinga, Miranda de Graaf, et al.. (2021). Droplet digital RT-PCR to detect SARS-CoV-2 signature mutations of variants of concern in wastewater. The Science of The Total Environment. 799. 149456–149456. 84 indexed citations
5.
Izquierdo-Lara, Ray, Goffe Elsinga, Leo Heijnen, et al.. (2021). Monitoring SARS-CoV-2 Circulation and Diversity through Community Wastewater Sequencing, the Netherlands and Belgium. Emerging infectious diseases. 27(5). 1405–1415. 137 indexed citations
6.
Medema, Gertjan, et al.. (2020). Presence of SARS-Coronavirus-2 RNA in Sewage and Correlation with Reported COVID-19 Prevalence in the Early Stage of the Epidemic in The Netherlands. Environmental Science & Technology Letters. 7(7). 511–516. 1186 indexed citations breakdown →
7.
Cerqueira, Francisco, Víctor Matamoros, Josep M. Bayona, et al.. (2019). Antibiotic resistance gene distribution in agricultural fields and crops. A soil-to-food analysis. Environmental Research. 177. 108608–108608. 112 indexed citations
8.
Cerqueira, Francisco, Víctor Matamoros, Josep M. Bayona, et al.. (2018). Distribution of antibiotic resistance genes in soils and crops. A field study in legume plants (Vicia faba L.) grown under different watering regimes. Environmental Research. 170. 16–25. 80 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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