Andrew M. Sackman

438 total citations
11 papers, 233 citations indexed

About

Andrew M. Sackman is a scholar working on Genetics, Molecular Biology and Sociology and Political Science. According to data from OpenAlex, Andrew M. Sackman has authored 11 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 3 papers in Molecular Biology and 3 papers in Sociology and Political Science. Recurrent topics in Andrew M. Sackman's work include Evolution and Genetic Dynamics (8 papers), Bacteriophages and microbial interactions (3 papers) and Plant Virus Research Studies (3 papers). Andrew M. Sackman is often cited by papers focused on Evolution and Genetic Dynamics (8 papers), Bacteriophages and microbial interactions (3 papers) and Plant Virus Research Studies (3 papers). Andrew M. Sackman collaborates with scholars based in United States. Andrew M. Sackman's co-authors include Jeffrey D. Jensen, Rebecca B. Harris, Darin R. Rokyta, Jessica V. Pierce, Danielle R. Reed, Paul R. Cabe, Susanne P. Pfeifer, Timothy F. Kowalik, David M. Marsh and Robert B. Page and has published in prestigious journals such as Genetics, Molecular Biology and Evolution and PLoS Genetics.

In The Last Decade

Andrew M. Sackman

11 papers receiving 230 citations

Peers

Andrew M. Sackman

GENET

MB

PS

ECOLO

ID

Ailene MacPherson Canada

Hilde Wilkinson‐Herbots United Kingdom

Caroline J. Rose France

Nagarjun Vijay India

Xinzhu Wei United States

Priyanka Nakka United States

Veronika Bošková Switzerland

Igor Filipović Australia

Miguel L. Grau Australia

Lars Bosshard Switzerland

Ailene MacPherson Canada

Andrew M. Sackman

176 ×1.1

GENET

56 ×0.7

MB

41 ×1.2

PS

26 ×0.8

ECOLO

21 ×0.6

ID

Citations per year, relative to Andrew M. Sackman Andrew M. Sackman (= 1×) peers Ailene MacPherson

Countries citing papers authored by Andrew M. Sackman

Since Specialization

Citations

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

Fields of papers citing papers by Andrew M. Sackman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew M. Sackman. 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 Andrew M. Sackman. The network helps show where Andrew M. Sackman may publish in the future.

Co-authorship network of co-authors of Andrew M. Sackman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Sackman. A scholar is included among the top collaborators of Andrew M. Sackman 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 Andrew M. Sackman. Andrew M. Sackman 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

1.

Page, Robert B., et al.. (2020). Genetic variation in Plethodon cinereus and Plethodon hubrichti from in and around a contact zone. Ecology and Evolution. 10(18). 9948–9967. 3 indexed citations

2.

Sackman, Andrew M. & Darin R. Rokyta. (2019). No Cost of Complexity in Bacteriophages Adapting to a Complex Environment. Genetics. 212(1). 267–276. 3 indexed citations

3.

Sackman, Andrew M., Rebecca B. Harris, & Jeffrey D. Jensen. (2019). Inferring Demography and Selection in Organisms Characterized by Skewed Offspring Distributions. Genetics. 211(3). 1019–1028. 29 indexed citations

4.

Harris, Rebecca B., Andrew M. Sackman, & Jeffrey D. Jensen. (2018). On the unfounded enthusiasm for soft selective sweeps II: Examining recent evidence from humans, flies, and viruses. PLoS Genetics. 14(12). e1007859–e1007859. 58 indexed citations

5.

Sackman, Andrew M., Susanne P. Pfeifer, Timothy F. Kowalik, & Jeffrey D. Jensen. (2018). On the Demographic and Selective Forces Shaping Patterns of Human Cytomegalovirus Variation within Hosts. Pathogens. 7(1). 16–16. 16 indexed citations

6.

Sackman, Andrew M. & Darin R. Rokyta. (2017). Additive Phenotypes Underlie Epistasis of Fitness Effects. Genetics. 208(1). 339–348. 20 indexed citations

7.

Sackman, Andrew M., et al.. (2017). Mutation-Driven Parallel Evolution during Viral Adaptation. Molecular Biology and Evolution. 34(12). 3243–3253. 30 indexed citations

8.

Sackman, Andrew M., Danielle R. Reed, & Darin R. Rokyta. (2015). Intergenic incompatibilities reduce fitness in hybrids of extremely closely related bacteriophages. PeerJ. 3. e1320–e1320. 12 indexed citations

9.

Sackman, Andrew M., et al.. (2015). Synergistic Pleiotropy Overrides the Costs of Complexity in Viral Adaptation. Genetics. 202(1). 285–295. 33 indexed citations

10.

Sackman, Andrew M. & Darin R. Rokyta. (2013). The Adaptive Potential of Hybridization Demonstrated with Bacteriophages. Journal of Molecular Evolution. 77(5-6). 221–230. 9 indexed citations

11.

Sackman, Andrew M., et al.. (2011). Conservation genetics of an endemic mountaintop salamander with an extremely limited range. Conservation Genetics. 13(2). 443–454. 20 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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