Daniel A. Vasco

821 total citations
16 papers, 428 citations indexed

About

Daniel A. Vasco is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation. According to data from OpenAlex, Daniel A. Vasco has authored 16 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 5 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Nature and Landscape Conservation. Recurrent topics in Daniel A. Vasco's work include Plant and animal studies (5 papers), Evolution and Genetic Dynamics (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Daniel A. Vasco is often cited by papers focused on Plant and animal studies (5 papers), Evolution and Genetic Dynamics (5 papers) and Ecology and Vegetation Dynamics Studies (4 papers). Daniel A. Vasco collaborates with scholars based in United States, Netherlands and Germany. Daniel A. Vasco's co-authors include Michael C. Singer, David Ng, Chris D. Thomas, Camille Parmesan, Pejman Rohani, Helen J. Wearing, Claudia Langenberg, Amy C. Harms, Johannes Hertel and Thomas Hankemeier and has published in prestigious journals such as The American Naturalist, Genetics and Animal Behaviour.

In The Last Decade

Daniel A. Vasco

16 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel A. Vasco United States 8 122 120 118 102 71 16 428
Hao Yuan China 10 96 0.8× 197 1.6× 139 1.2× 29 0.3× 56 0.8× 40 341
Jill A. Johnston United States 11 196 1.6× 70 0.6× 189 1.6× 14 0.1× 199 2.8× 16 478
Simon K. G. Forsberg Sweden 11 38 0.3× 265 2.2× 217 1.8× 57 0.6× 219 3.1× 16 613
Horácio Montenegro Brazil 14 68 0.6× 134 1.1× 152 1.3× 233 2.3× 97 1.4× 29 588
Jianglong Guo China 11 102 0.8× 131 1.1× 73 0.6× 183 1.8× 117 1.6× 34 367
Yuxia Yang China 10 192 1.6× 79 0.7× 134 1.1× 52 0.5× 32 0.5× 99 376
Amr Abouelleil United States 7 13 0.1× 269 2.2× 110 0.9× 13 0.1× 119 1.7× 7 456
Charles E. Taylor United States 10 85 0.7× 125 1.0× 136 1.2× 89 0.9× 82 1.2× 15 471
Jessica Satkoski Trask United States 12 54 0.4× 99 0.8× 70 0.6× 20 0.2× 24 0.3× 25 367
N. Faure France 8 74 0.6× 116 1.0× 89 0.8× 143 1.4× 135 1.9× 17 333

Countries citing papers authored by Daniel A. Vasco

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Vasco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Vasco

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

All Works

16 of 16 papers shown
1.
Hertel, Johannes, Amy C. Harms, Almut Heinken, et al.. (2019). Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease. Cell Reports. 29(7). 1767–1777.e8. 123 indexed citations
2.
Hertel, Johannes, Amy C. Harms, Almut Heinken, et al.. (2018). Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson's Disease. SSRN Electronic Journal. 2 indexed citations
3.
Kato, Mamoru, Daniel A. Vasco, Ryuichi P. Sugino, Daichi Narushima, & Alexander Krasnitz. (2017). Sweepstake evolution revealed by population-genetic analysis of copy-number alterations in single genomes of breast cancer. Royal Society Open Science. 4(9). 171060–171060. 12 indexed citations
4.
Ye, Zhan, Daniel A. Vasco, Tonia C. Carter, et al.. (2014). Genome wide association study of SNP-, gene-, and pathway-based approaches to identify genes influencing susceptibility to Staphylococcus aureus infections. Frontiers in Genetics. 5. 125–125. 33 indexed citations
5.
Decker, Jared E., Daniel A. Vasco, Stephanie McKay, et al.. (2012). A novel analytical method, Birth Date Selection Mapping, detects response of the Angus (Bos taurus) genome to selection on complex traits. BMC Genomics. 13(1). 606–606. 31 indexed citations
6.
Lee, Deukhwan & Daniel A. Vasco. (2010). Predicting the Accuracy of Breeding Values Using High Density Genome Scans. Asian-Australasian Journal of Animal Sciences. 24(2). 162–172. 1 indexed citations
7.
Rohani, Pejman, Helen J. Wearing, Daniel A. Vasco, et al.. (2008). Understanding host-multipathogen systems: modeling the interaction between ecology and immunology.. 48–70. 7 indexed citations
8.
Vasco, Daniel A.. (2008). A Fast and Reliable Computational Method for Estimating Population Genetic Parameters. Genetics. 179(2). 951–963. 1 indexed citations
9.
Vasco, Daniel A., Helen J. Wearing, & Pejman Rohani. (2006). Tracking the dynamics of pathogen interactions: Modeling ecological and immune-mediated processes in a two-pathogen single-host system. Journal of Theoretical Biology. 245(1). 9–25. 38 indexed citations
10.
Crandall, Keith A., Daniel A. Vasco, David Posada, & Hiromi Imamichi. (1999). Advances in understanding the evolution of HIV.. PubMed. 13 Suppl A. S39–47. 12 indexed citations
11.
Singer, Michael C., David Ng, Daniel A. Vasco, & Chris D. Thomas. (1992). Rapidly Evolving Associations Among Oviposition Preferences Fail to Constrain Evolution of Insect Diet. The American Naturalist. 139(1). 9–20. 52 indexed citations
12.
Singer, Michael C., Daniel A. Vasco, Camille Parmesan, Chris D. Thomas, & David Ng. (1992). Distinguishing between ‘preference’ and ‘motivation’ in food choice: an example from insect oviposition. Animal Behaviour. 44. 463–471. 100 indexed citations
13.
Thomas, Chris D., Daniel A. Vasco, Michael C. Singer, et al.. (1990). Diet divergence in two sympatric congeneric butterflies: Community or species level phenomenon?. Evolutionary Ecology. 4(1). 62–74. 7 indexed citations
14.
Vasco, Daniel A., et al.. (1987). Dynamics and stability in coevolutionary ecological systems I. Community stability and coevolutionarily stable states. Theoretical Population Biology. 31(2). 273–305. 4 indexed citations
15.
Richardson, R. H. & Daniel A. Vasco. (1987). Habitat and mate selection in HawaiianDrosophila. Behavior Genetics. 17(6). 571–596. 2 indexed citations
16.
Vasco, Daniel A. & R. H. Richardson. (1985). On the theory of sexual reproductive kinetics with comments on some recent experimental results. Systems Research and Behavioral Science. 30(3). 134–148. 3 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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