Asher Haug-Baltzell

401 total citations
11 papers, 212 citations indexed

About

Asher Haug-Baltzell is a scholar working on Molecular Biology, Genetics and Astronomy and Astrophysics. According to data from OpenAlex, Asher Haug-Baltzell has authored 11 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Astronomy and Astrophysics. Recurrent topics in Asher Haug-Baltzell's work include Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (2 papers) and Stellar, planetary, and galactic studies (2 papers). Asher Haug-Baltzell is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (2 papers) and Stellar, planetary, and galactic studies (2 papers). Asher Haug-Baltzell collaborates with scholars based in United States. Asher Haug-Baltzell's co-authors include Eric Lyons, Sean Davey, Carlos Scheidegger, Andrew D. L. Nelson, Upendra Kumar Devisetty, Brian D. Gregory, Mark A. Beilstein, Patrick Sheehan, Jared R. Males and Laird M. Close and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Astrophysical Journal.

In The Last Decade

Asher Haug-Baltzell

10 papers receiving 210 citations

Peers

Asher Haug-Baltzell

MB

PS

GENET

AA

CR

Malcolm Perry United Kingdom

Kaycee A. Quarles United States

T. D. P. Brunet Canada

Juan Antonio García-Martín Spain

Eugene Korotkov Russia

Christophe Benoist France

Ajith Harish Sweden

Zhanar Abil United States

Yannis Nevers Switzerland

P. G. DeBaryshe United States

Malcolm Perry United Kingdom

Asher Haug-Baltzell

262 ×2.2

MB

104 ×1.0

PS

74 ×1.9

GENET

6 ×0.2

AA

8 ×0.4

CR

Citations per year, relative to Asher Haug-Baltzell Asher Haug-Baltzell (= 1×) peers Malcolm Perry

Countries citing papers authored by Asher Haug-Baltzell

Since Specialization

Citations

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

Fields of papers citing papers by Asher Haug-Baltzell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asher Haug-Baltzell. 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 Asher Haug-Baltzell. The network helps show where Asher Haug-Baltzell may publish in the future.

Co-authorship network of co-authors of Asher Haug-Baltzell

This figure shows the co-authorship network connecting the top 25 collaborators of Asher Haug-Baltzell. A scholar is included among the top collaborators of Asher Haug-Baltzell 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 Asher Haug-Baltzell. Asher Haug-Baltzell 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.

Haug-Baltzell, Asher, Tushar Bhangale, Diana Chang, et al.. (2018). Previously reported placebo-response-associated variants do not predict patient outcomes in inflammatory disease Phase III trial placebo arms. Genes and Immunity. 20(2). 172–179. 2 indexed citations

2.

Nelson, Andrew D. L., Asher Haug-Baltzell, Sean Davey, Brian D. Gregory, & Eric Lyons. (2018). EPIC-CoGe: managing and analyzing genomic data. Bioinformatics. 34(15). 2651–2653. 20 indexed citations

3.

Hahn-Powell, Gus, et al.. (2018). Science Citation Knowledge Extractor. SHILAP Revista de lepidopterología. 3. 3 indexed citations

4.

Castillo, Andreína I., Andrew D. L. Nelson, Asher Haug-Baltzell, & Eric Lyons. (2018). A tutorial of diverse genome analysis tools found in the CoGe web-platform usingPlasmodiumspp. as a model. Database. 2018. 11 indexed citations

5.

Joyce, Blake L., et al.. (2017). Leveraging CyVerse Resources for <em>De Novo</em> Comparative Transcriptomics of Underserved (Non-model) Organisms. Journal of Visualized Experiments. 4 indexed citations

6.

Nelson, Andrew D. L., et al.. (2017). Evolinc: A Tool for the Identification and Evolutionary Comparison of Long Intergenic Non-coding RNAs. Frontiers in Genetics. 8. 52–52. 23 indexed citations

7.

Haug-Baltzell, Asher, et al.. (2017). SynMap2 and SynMap3D: web-based whole-genome synteny browsers. Bioinformatics. 33(14). 2197–2198. 101 indexed citations

8.

Wu, Ya-Lin, Patrick Sheehan, Jared R. Males, et al.. (2017). An ALMA and MagAO Study of the Substellar Companion GQ Lup B^∗. The Astrophysical Journal. 836(2). 223–223. 25 indexed citations

9.

Haug-Baltzell, Asher, Jared R. Males, Katie M. Morzinski, et al.. (2016). High-contrast imaging in the cloud with klipReduce and Findr. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9913. 99130F–99130F.

10.

Joyce, Blake L., Asher Haug-Baltzell, Sean Davey, et al.. (2016). FractBias: a graphical tool for assessing fractionation bias following polyploidy. Bioinformatics. 33(4). 552–554. 12 indexed citations

11.

Haug-Baltzell, Asher, Erich D. Jarvis, Fiona McCarthy, & Eric Lyons. (2015). Identification of dopamine receptors across the extant avian family tree and analysis with other clades uncovers a polyploid expansion among vertebrates. Frontiers in Neuroscience. 9. 361–361. 11 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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