A Teufel

854 total citations
22 papers, 315 citations indexed

About

A Teufel is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, A Teufel has authored 22 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Genetics and 4 papers in Epidemiology. Recurrent topics in A Teufel's work include Genomics and Phylogenetic Studies (8 papers), Evolution and Genetic Dynamics (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). A Teufel is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Evolution and Genetic Dynamics (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). A Teufel collaborates with scholars based in United States, Germany and Canada. A Teufel's co-authors include David A. Liberles, Claus O. Wilke, Liang Liu, Johan A. Grahnen, Anke Konrad, Tanja Stadler, Edward M. Marcotte, Aashiq H. Kachroo, Jon M. Laurent and Brenna R. Forester and has published in prestigious journals such as Scientific Reports, Genetics and Evolution.

In The Last Decade

A Teufel

21 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A Teufel United States 11 198 151 61 22 18 22 315
Inna Povolotskaya Spain 9 271 1.4× 213 1.4× 94 1.5× 37 1.7× 10 0.6× 12 432
Sudarshan Chari United States 7 188 0.9× 147 1.0× 52 0.9× 20 0.9× 8 0.4× 7 343
Tobias Sikosek Germany 8 332 1.7× 102 0.7× 111 1.8× 36 1.6× 29 1.6× 11 458
Shawn T. O’Neil United States 11 198 1.0× 93 0.6× 97 1.6× 59 2.7× 17 0.9× 19 414
Lana S. Martin United States 9 155 0.8× 106 0.7× 50 0.8× 31 1.4× 5 0.3× 13 347
Xuefeng Li China 8 82 0.4× 256 1.7× 171 2.8× 12 0.5× 14 0.8× 14 365
Shujin Fu China 3 162 0.8× 74 0.5× 43 0.7× 55 2.5× 6 0.3× 3 266
Rachel M. Sherman United States 9 408 2.1× 248 1.6× 174 2.9× 28 1.3× 15 0.8× 11 586
Yueying Chen China 9 190 1.0× 63 0.4× 177 2.9× 20 0.9× 14 0.8× 15 312
Gabriel W. Low Singapore 11 120 0.6× 110 0.7× 30 0.5× 96 4.4× 21 1.2× 18 285

Countries citing papers authored by A Teufel

Since Specialization
Citations

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

Fields of papers citing papers by A Teufel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Teufel

This figure shows the co-authorship network connecting the top 25 collaborators of A Teufel. A scholar is included among the top collaborators of A Teufel 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 A Teufel. A Teufel 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.
Daza, Jorge, Heike Bantel, Marcos Girala, et al.. (2024). Evaluation of four chatbots in autoimmune liver disease: A comparative analysis. Zeitschrift für Gastroenterologie. 62(9). e656–e656. 1 indexed citations
2.
Teufel, A, Wu Liu, Jeremy A. Draghi, Craig E. Cameron, & Claus O. Wilke. (2021). Modeling poliovirus replication dynamics from live time-lapse single-cell imaging data. Scientific Reports. 11(1). 9622–9622. 4 indexed citations
3.
Klein, Brennan, et al.. (2021). A computational exploration of resilience and evolvability of protein–protein interaction networks. Communications Biology. 4(1). 1352–1352. 13 indexed citations
4.
Laurent, Jon M., et al.. (2020). Humanization of yeast genes with multiple human orthologs reveals functional divergence between paralogs. PLoS Biology. 18(5). e3000627–e3000627. 40 indexed citations
5.
Teufel, A, et al.. (2020). A Phylogenetic Rate Parameter Indicates Different Sequence Divergence Patterns in Orthologs and Paralogs. Journal of Molecular Evolution. 88(10). 720–730. 2 indexed citations
6.
Jiang, Qian, et al.. (2018). Beyond Thermodynamic Constraints: Evolutionary Sampling Generates Realistic Protein Sequence Variation. Genetics. 208(4). 1387–1395. 6 indexed citations
7.
Teufel, A, et al.. (2018). Withdrawn as Duplicate: The many nuanced evolutionary consequences of duplicated genes. Molecular Biology and Evolution. 35(12). e1–e1. 1 indexed citations
8.
Teufel, A, et al.. (2018). Sicegar: R package for sigmoidal and double-sigmoidal curve fitting. PeerJ. 6. e4251–e4251. 29 indexed citations
9.
Teufel, A, Andrew M. Ritchie, Claus O. Wilke, & David A. Liberles. (2018). Using the Mutation-Selection Framework to Characterize Selection on Protein Sequences. Genes. 9(8). 409–409. 10 indexed citations
10.
Teufel, A & Claus O. Wilke. (2017). Accelerated simulation of evolutionary trajectories in origin-fixation models. Journal of The Royal Society Interface. 14(127). 20160906–20160906. 11 indexed citations
11.
Orlenko, Alena, A Teufel, Benjamin M. Peter, & David A. Liberles. (2016). Selection on metabolic pathway function in the presence of mutation-selection-drift balance leads to rate-limiting steps that are not evolutionarily stable. Biology Direct. 11(1). 31–31. 14 indexed citations
12.
Teufel, A, Liang Liu, & David A. Liberles. (2016). Models for gene duplication when dosage balance works as a transition state to subsequent neo- or sub-functionalization. BMC Evolutionary Biology. 16(1). 45–45. 25 indexed citations
13.
Teufel, A, Joanna Masel, & David A. Liberles. (2015). What Fraction of Duplicates Observed in Recently Sequenced Genomes Is Segregating and Destined to Fail to Fix?. Genome Biology and Evolution. 7(8). 2258–2264. 4 indexed citations
14.
Zhao, Jing, A Teufel, David A. Liberles, & Liang Liu. (2015). A generalized birth and death process for modeling the fates of gene duplication. BMC Evolutionary Biology. 15(1). 275–275. 8 indexed citations
15.
Teufel, A, Jing Zhao, Małgorzata M. O’Reilly, Liang Liu, & David A. Liberles. (2014). On Mechanistic Modeling of Gene Content Evolution: Birth-Death Models and Mechanisms of Gene Birth and Gene Retention. Computation. 2(3). 112–130. 10 indexed citations
16.
Liberles, David A., A Teufel, Liang Liu, & Tanja Stadler. (2013). On the Need for Mechanistic Models in Computational Genomics and Metagenomics. Genome Biology and Evolution. 5(10). 2008–2018. 26 indexed citations
17.
Noetel, A, N Elfimova, Diana Becker, et al.. (2013). Next generation sequencing of the Ago2 interacting transcriptome identified chemokine family members as novel targets of neuronal microRNAs in hepatic stellate cells. Zeitschrift für Gastroenterologie. 51(1). 1 indexed citations
18.
Jones, Matthew R., Brenna R. Forester, A Teufel, et al.. (2013). INTEGRATING LANDSCAPE GENOMICS AND SPATIALLY EXPLICIT APPROACHES TO DETECT LOCI UNDER SELECTION IN CLINAL POPULATIONS. Evolution. 67(12). 3455–3468. 58 indexed citations
19.
Marquardt, Jens U., T Maass, M Krupp, et al.. (2012). 385 MOLECULAR STAGES OF PDGFB DRIVEN LIVER FIBROSIS: LESONS FROM A TRANSGENIC MOUSE MODEL. Journal of Hepatology. 56. S155–S155.
20.
Konrad, Anke, A Teufel, Johan A. Grahnen, & David A. Liberles. (2011). Toward a General Model for the Evolutionary Dynamics of Gene Duplicates. Genome Biology and Evolution. 3. 1197–1209. 48 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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