Daniel C. Angst

536 total citations
11 papers, 302 citations indexed

About

Daniel C. Angst is a scholar working on Genetics, Molecular Medicine and Modeling and Simulation. According to data from OpenAlex, Daniel C. Angst has authored 11 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Medicine and 3 papers in Modeling and Simulation. Recurrent topics in Daniel C. Angst's work include Evolution and Genetic Dynamics (6 papers), Antibiotic Resistance in Bacteria (4 papers) and COVID-19 epidemiological studies (3 papers). Daniel C. Angst is often cited by papers focused on Evolution and Genetic Dynamics (6 papers), Antibiotic Resistance in Bacteria (4 papers) and COVID-19 epidemiological studies (3 papers). Daniel C. Angst collaborates with scholars based in Switzerland, Spain and United States. Daniel C. Angst's co-authors include Sebastian Bonhoeffer, Alex R. Hall, Peter Ashcroft, Nicola Low, Sonja Lehtinen, Jana S. Huisman, Jinzhou Li, Marloes H. Maathuis, Jérémie Scire and Tanja Stadler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and The ISME Journal.

In The Last Decade

Daniel C. Angst

10 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel C. Angst Switzerland	9	90	82	79	72	66	11	302
Arti Mishra India	13	52 0.6×	66 0.8×	42 0.5×	55 0.8×	44 0.7×	27	362
Rita Feghali Lebanon	9	13 0.1×	116 1.4×	101 1.3×	95 1.3×	64 1.0×	15	404
Wing Yin Venus Lau Canada	5	137 1.5×	115 1.4×	128 1.6×	11 0.2×	28 0.4×	5	329
Aroon T. Chande United States	12	27 0.3×	95 1.2×	30 0.4×	82 1.1×	27 0.4×	27	303
Nancy Touchette United States	9	27 0.3×	133 1.6×	113 1.4×	53 0.7×	9 0.1×	18	391
Georgi Merhi Lebanon	8	23 0.3×	72 0.9×	159 2.0×	9 0.1×	33 0.5×	10	273
Bernadett Pályi Hungary	12	31 0.3×	106 1.3×	228 2.9×	25 0.3×	13 0.2×	26	389
Sanjiv Kumar India	14	9 0.1×	200 2.4×	97 1.2×	25 0.3×	24 0.4×	30	553
Arturo Torres Ortiz United Kingdom	6	68 0.8×	169 2.1×	488 6.2×	41 0.6×	9 0.1×	9	578

Countries citing papers authored by Daniel C. Angst

Since Specialization

Citations

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

Fields of papers citing papers by Daniel C. Angst

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Angst. 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 Daniel C. Angst. The network helps show where Daniel C. Angst may publish in the future.

Co-authorship network of co-authors of Daniel C. Angst

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

All Works

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11 of 11 papers shown

Angst, Daniel C., et al.. (2026). High-Throughput Quantification of Population Dynamics using Luminescence. eLife.

Angst, Daniel C., et al.. (2024). The impact of treatment strategies on the epidemiological dynamics of plasmid-conferred antibiotic resistance. Proceedings of the National Academy of Sciences. 121(52). e2406818121–e2406818121. 1 indexed citations

Scire, Jérémie, Jana S. Huisman, Daniel C. Angst, et al.. (2023). estimateR: an R package to estimate and monitor the effective reproductive number. BMC Bioinformatics. 24(1). 310–310. 32 indexed citations

Angst, Daniel C., et al.. (2023). Antibiotic-degrading resistance changes bacterial community structure via species-specific responses. The ISME Journal. 17(9). 1495–1503. 17 indexed citations

Huisman, Jana S., Jérémie Scire, Daniel C. Angst, et al.. (2022). Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2. eLife. 11. 50 indexed citations

Ashcroft, Peter, Sonja Lehtinen, Daniel C. Angst, Nicola Low, & Sebastian Bonhoeffer. (2021). Quantifying the impact of quarantine duration on COVID-19 transmission. eLife. 10. 54 indexed citations

Angst, Daniel C., Burcu Tepekule, Lei Sun, Balázs Bogos, & Sebastian Bonhoeffer. (2021). Comparing treatment strategies to reduce antibiotic resistance in an in vitro epidemiological setting. Proceedings of the National Academy of Sciences. 118(13). 47 indexed citations

Allen, Richard C., Daniel C. Angst, & Alex R. Hall. (2018). Resistance Gene Carriage Predicts Growth of Natural and Clinical Escherichia coli Isolates in the Absence of Antibiotics. Applied and Environmental Microbiology. 85(4). 9 indexed citations

Shilaih, Mohaned, Daniel C. Angst, Alex Marzel, et al.. (2017). Antibacterial Effects of Antiretrovirals, Potential Implications for Microbiome Studies in HIV. Antiviral Therapy. 23(1). 91–94. 22 indexed citations

10.

Hall, Alex R., Daniel C. Angst, Konstanze T. Schiessl, & Martin Ackermann. (2014). Costs of antibiotic resistance – separating trait effects and selective effects. Evolutionary Applications. 8(3). 261–272. 34 indexed citations

11.

Angst, Daniel C. & Alex R. Hall. (2013). The cost of antibiotic resistance depends on evolutionary history in Escherichia coli. BMC Evolutionary Biology. 13(1). 163–163. 36 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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