Sharon Levy

514 citations
31 papers · 329 · h-index 9

Impact in

Papers in

Sharon Levy

27 papers receiving 312 citations

Peers

Sharon Levy
Comparison fields: 5 of 88
  • Applied Microbiology and Biotechnology 19
  • Endocrinology 23
  • Molecular Medicine 22
  • Ecology 78
  • Pollution 34
Replace Titus S. Imboma with:
Titus S. Imboma Kenya
Elizabeth Humphries United States
Sonia L. Ghose United States
Muhammad Meezanur Rahman Bangladesh
David Abad Spain
Johan Espunyes Spain
J.C. Ellis United States
Maria E. Alvarez United States
Jesper Hedegaard Clausen Denmark
Irene Naigaga Uganda
Sharon Levy relative to Titus S. Imboma Kenya Titus S. Imboma's profile →
Citations per field
00.5×1.5×2×2.3×
Titus S. Imboma · 1×
Citations per year

Countries citing papers authored by Sharon Levy

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Sharon Levy, 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 Sharon Levy Line = papers co-authored together Sharon Levy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201487
2 199839
3
Antibiotic Resistance Genes: Ecology, Transfer, and Expression
198730
4 201523
5 200319
6 199716
7 201215
8 201211
9 201311
10 19849
11 20108
12 20047
13 20177
14 20157
15 20066
16 20135
17 20145
18 20144
19 20073
20 20113

About Sharon Levy

Sharon Levy is a scholar working on Statistics and Probability, Ecology, Global and Planetary Change, Endocrinology and Parasitology, having authored 31 papers that have together received 329 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (4 papers), Wildlife Ecology and Conservation (3 papers), Marine and fisheries research (2 papers), Viral Infections and Vectors (2 papers), Health, psychology, and well-being (2 papers), Vibrio bacteria research studies (2 papers), Vector-borne infectious diseases (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (19 citations), Endocrinology (23 citations), Molecular Medicine (22 citations), Ecology (78 citations) and Pollution (34 citations). Sharon Levy has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Richard P. Novick, Ian Dix, Jean D. Beggs, CAROLINE S. RUSSELL, Martin Kupiec, Liat Goldfarb, Susie Linder-Pelz, L. M. EPSTEIN, Ada Tamir and Mark H. Dredze. Their work appears in journals such as BioScience, Environmental Health Perspectives, Nature, RNA and Journal of Cognition.

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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