Emily Garner

3.1k citations
41 papers · 2.3k · 1 hit paper · h-index 23

Impact in

Papers in

Emily Garner

38 papers receiving 2.2k citations

Emily Garner's Hit Papers

DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data 2018 · 558 citations
5580+2+5Years since publication100200300400500

Peers

Emily Garner
Comparison fields: 5 of 131
  • Molecular Medicine 689
  • Pollution 1.2k
  • Applied Microbiology and Biotechnology 168
  • Endocrinology 219
  • Health, Toxicology and Mutagenesis 440
Replace Amy R. Sapkota with:
Amy R. Sapkota United States
Ivone Vaz‐Moreira Portugal
Monika Harnisz Poland
Antti Karkman Finland
Eddie Cytryn Israel
Xiaole Yin Hong Kong
Meredith S. Wright United States
Andrew Scott Canada
Elisabet Marti Spain
Alejandro Amézquita United Kingdom
Emily Garner relative to Amy R. Sapkota United States Amy R. Sapkota's profile →
Citations per field
00.5×1.5×2.1×
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Citations per year

Countries citing papers authored by Emily Garner

Since Specialization
Citations

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

Fields of papers citing papers by Emily Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Garner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Emily Garner Line = papers co-authored together Emily Garner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
Hit paper breakdown →
2018558
2 2017241
3 2019183
4 2018124
5 2018111
6 201799
7 201683
8 202171
9 202170
10 201865
11 201764
12 201657
13 202256
14 201948
15 201646
16 201845
17 201740
18 202136
19 202034
20 202034

About Emily Garner

Emily Garner is a scholar working on Pollution, Molecular Medicine, Health, Toxicology and Mutagenesis, Water Science and Technology and Endocrinology, having authored 41 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (24 papers), Antibiotic Resistance in Bacteria (18 papers), Water Treatment and Disinfection (10 papers), Fecal contamination and water quality (9 papers), Legionella and Acanthamoeba research (8 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Antibiotic Use and Resistance (4 papers) and Environmental DNA in Biodiversity Studies (3 papers). The work is most often cited by research in Molecular Medicine (689 citations), Pollution (1.2k citations), Applied Microbiology and Biotechnology (168 citations), Endocrinology (219 citations) and Health, Toxicology and Mutagenesis (440 citations). Emily Garner has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Amy Pruden, Peter J. Vikesland, Lenwood S. Heath, Gustavo Arango-Argoty, Liqing Zhang, Marc Edwards, Diana S. Aga, Ni Zhu, Suraj Gupta and Ayella Maile-Moskowitz. Their work appears in journals such as Environmental Science & Technology, Water Research, The Science of The Total Environment, Frontiers in Microbiology and Scientific Reports.

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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