S. Austin Hammond

3.4k citations
22 papers · 870 indexed · 2 hit papers · h-index 13
Topics
Aquaculture disease management and microbiota (5 papers)Genomics and Phylogenetic Studies (4 papers)RNA Research and Splicing (4 papers)

In The Last Decade

S. Austin Hammond

21 papers receiving 862 citations

Hit Papers

ABySS 2.0: resource-efficient assembly of large genomes u...201720262020202320172022100200300400

Peers

S. Austin Hammond
Comparison fields: 5 of 102
  • Molecular Biology 514
  • Ecology 173
  • Microbiology 146
  • Plant Science 129
  • Genetics 96
Replace John V. Smalley with:
John V. Smalley United States
Hamza Khan United States
Sajia Akhter United States
Richard McVeigh United States
Renata O. Dias Brazil
Lauren Coombe Canada
Katja Dierking Germany
Thomas Pfisterer Germany
William Arndt United States
Olivia Doppelt‐Azeroual France
S. Austin Hammond relative to John V. Smalley United States John V. Smalley's profile →
Citations per field
00.5×6.4×
John V. Smalley · 1×
Citations per year

Countries citing papers authored by S. Austin Hammond

Since Specialization
Citations

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

Fields of papers citing papers by S. Austin Hammond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Austin Hammond. 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 S. Austin Hammond. The network helps show where S. Austin Hammond may publish in the future.

Co-authorship network of co-authors of S. Austin Hammond

This figure shows the co-authorship network connecting the top 25 collaborators of S. Austin Hammond. A scholar is included among the top collaborators of S. Austin Hammond 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 S. Austin Hammond. S. Austin Hammond 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
#WorkIndexed citations
1 0
2 26
3 14
4 10
5 11
6
AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogensbreakdown →
126
7 15
8 21
9 3
10 6
11 22
12 24
13
ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filterbreakdown →
455
14 13
15 1
16 9
17 25
18 23
19 24
20 21

About S. Austin Hammond

S. Austin Hammond is a scholar working on Microbiology, Equine and Ecology, having authored 22 papers that have together received 870 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (5 papers), Genomics and Phylogenetic Studies (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Microbiology (146 citations), Molecular Biology (514 citations) and Ecology (173 citations). S. Austin Hammond has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include İnanç Birol, René L. Warren, Caren C. Helbing, Benjamin P. Vandervalk, Shaun D. Jackman, Lauren Coombe, Sarah Yeo, Justin Chu, Hamid Mohamadi and Hamza Khan. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.

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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