E. Müller

3.4k total citations
71 papers, 2.5k citations indexed

About

E. Müller is a scholar working on Health, Toxicology and Mutagenesis, Ecology and Pollution. According to data from OpenAlex, E. Müller has authored 71 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, Toxicology and Mutagenesis, 17 papers in Ecology and 14 papers in Pollution. Recurrent topics in E. Müller's work include Environmental Toxicology and Ecotoxicology (14 papers), Wastewater Treatment and Nitrogen Removal (8 papers) and Nanoparticles: synthesis and applications (8 papers). E. Müller is often cited by papers focused on Environmental Toxicology and Ecotoxicology (14 papers), Wastewater Treatment and Nitrogen Removal (8 papers) and Nanoparticles: synthesis and applications (8 papers). E. Müller collaborates with scholars based in United States, Germany and Netherlands. E. Müller's co-authors include Roger M. Nisbet, S.A.L.M. Kooijman, Konstadia Lika, Hunter S. Lenihan, Robert J. Miller, Shannon K. Hanna, Henk W. van Verseveld, A. H. Stouthamer, Arturo A. Keller and Dick H. Eikelboom and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.

In The Last Decade

E. Müller

70 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Müller United States 25 776 531 513 506 423 71 2.5k
Fernando Gálvez United States 34 1.1k 1.4× 266 0.5× 1.3k 2.5× 614 1.2× 199 0.5× 82 3.3k
Julia Reiss United Kingdom 17 806 1.0× 234 0.4× 137 0.3× 540 1.1× 177 0.4× 48 2.4k
Qing Liu China 34 1.1k 1.4× 778 1.5× 224 0.4× 262 0.5× 158 0.4× 243 4.5k
J.M. Baveco Netherlands 26 640 0.8× 549 1.0× 559 1.1× 441 0.9× 125 0.3× 61 2.0k
Julio A. Camargo Spain 28 1.8k 2.3× 387 0.7× 927 1.8× 638 1.3× 126 0.3× 90 4.6k
Paul C. Frost Canada 35 2.0k 2.6× 456 0.9× 405 0.8× 327 0.6× 214 0.5× 116 4.0k
Victor Wepener South Africa 32 895 1.2× 200 0.4× 1.7k 3.3× 1.2k 2.3× 385 0.9× 196 3.6k
Philippe Juneau Canada 38 609 0.8× 180 0.3× 936 1.8× 1.6k 3.2× 205 0.5× 115 4.3k
Rui Ribeiro Portugal 36 937 1.2× 372 0.7× 2.7k 5.3× 1.9k 3.8× 162 0.4× 154 4.3k

Countries citing papers authored by E. Müller

Since Specialization
Citations

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

Fields of papers citing papers by E. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Müller

This figure shows the co-authorship network connecting the top 25 collaborators of E. Müller. A scholar is included among the top collaborators of E. Müller 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 E. Müller. E. Müller 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.
Stevenson, Louise, E. Müller, Diane Nacci, et al.. (2023). Connecting Suborganismal Data to Bioenergetic Processes: Killifish Embryos Exposed to a Dioxin-Like Compound. Environmental Toxicology and Chemistry. 42(9). 2040–2053. 5 indexed citations
3.
Einum, Sigurd, et al.. (2023). Impact of the antidepressant Bupropion on the Dynamic Energy Budget of Daphnia magna. The Science of The Total Environment. 895. 164984–164984. 4 indexed citations
4.
Ledder, Glenn, Sabrina E. Russo, E. Müller, Angela Peace, & Roger M. Nisbet. (2020). Local control of resource allocation is sufficient to model optimal dynamics in syntrophic systems. Theoretical Ecology. 13(4). 481–501. 9 indexed citations
5.
6.
Müller, E., Konstadia Lika, Roger M. Nisbet, et al.. (2019). Data from: Regulation of reproductive processes with Dynamic Energy Budgets. Data Archiving and Networked Services (DANS). 1 indexed citations
7.
Murphy, Cheryl A., Roger M. Nisbet, Philipp Antczak, et al.. (2018). Incorporating Suborganismal Processes into Dynamic Energy Budget Models for Ecological Risk Assessment. Integrated Environmental Assessment and Management. 14(5). 615–624. 43 indexed citations
8.
Klanjšček, Tin, E. Müller, Patricia A. Holden, & Roger M. Nisbet. (2017). Host–Symbiont Interaction Model Explains Non-monotonic Response of Soybean Growth and Seed Production to Nano-CeO2 Exposure. Environmental Science & Technology. 51(9). 4944–4950. 8 indexed citations
9.
Cunning, Ross, E. Müller, Ruth D. Gates, & Roger M. Nisbet. (2017). A dynamic bioenergetic model for coral- Symbiodinium symbioses and coral bleaching as an alternate stable state. Journal of Theoretical Biology. 431. 49–62. 63 indexed citations
10.
Gust, Kurt A., Alan R. Kennedy, Mitchell S. Wilbanks, et al.. (2016). Daphnia magna’s sense of competition: intra-specific interactions (ISI) alter life history strategies and increase metals toxicity. Ecotoxicology. 25(6). 1126–1135. 13 indexed citations
11.
Miller, Robert J., E. Müller, Bryan J. Cole, et al.. (2016). Photosynthetic efficiency predicts toxic effects of metal nanomaterials in phytoplankton. Aquatic Toxicology. 183. 85–93. 30 indexed citations
12.
Klanjšček, Tin, E. Müller, & Roger M. Nisbet. (2016). Feedbacks and tipping points in organismal response to oxidative stress. Journal of Theoretical Biology. 404. 361–374. 12 indexed citations
13.
Müller, E., S.A.L.M. Kooijman, Peter J. Edmunds, Francis J. Doyle, & Roger M. Nisbet. (2009). Dynamic energy budgets in syntrophic symbiotic relationships between heterotrophic hosts and photoautotrophic symbionts. Journal of Theoretical Biology. 259(1). 44–57. 53 indexed citations
14.
Müller, E., Craig W. Osenberg, Russell J. Schmitt, Sally J. Holbrook, & Roger M. Nisbet. (2009). Sublethal toxicant effects with dynamic energy budget theory: application to mussel outplants. Ecotoxicology. 19(1). 38–47. 19 indexed citations
15.
Müller, E., et al.. (2009). Sublethal toxicant effects with dynamic energy budget theory: model formulation. Ecotoxicology. 19(1). 48–60. 54 indexed citations
16.
Müller, E., et al.. (2001). The Dynamics of the Macromolecular Composition of Biomass. Journal of Theoretical Biology. 212(2). 237–251. 38 indexed citations
17.
Müller, E.. (2000). Survival and Production in Variable Resource Environments. Bulletin of Mathematical Biology. 62(6). 1163–1189. 46 indexed citations
18.
Müller, E., et al.. (1998). Ultrastructural changes in fish gills as biomarker to assess small stream pollution. Tissue and Cell. 30(6). 617–626. 69 indexed citations
19.
Müller, E., A. H. Stouthamer, & Henk W. van Verseveld. (1995). Simultaneous NH3 oxidation and N2 production at reduced O2 tensions by sewage sludge subcultured with chemolithotrophic medium. Biodegradation. 6(4). 339–349. 29 indexed citations
20.
Kooijman, S.A.L.M., E. Müller, & A. H. Stouthamer. (1991). Microbial growth dynamics on the basis of individual budgets. Antonie van Leeuwenhoek. 60(3-4). 159–174. 25 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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