Emily Smith

621 citations
20 papers · 336 · h-index 8

Impact in

Papers in

    • Genetics, Bioinformatics, and Biomedical Research 2
    • Genomics and Phylogenetic Studies 2
    • SARS-CoV-2 and COVID-19 Research 2
    • SARS-CoV-2 detection and testing 2

Emily Smith

15 papers receiving 332 citations

Peers

Emily Smith
Comparison fields: 5 of 68
  • Microbiology 59
  • Sensory Systems 38
  • Molecular Medicine 35
  • Endocrinology 31
  • Ecology, Evolution, Behavior and Systematics 88
Replace Jamie K. Lemon with:
Jamie K. Lemon United States
Wai Yee Low Australia
Robert W. Griffin United States
Sandra Nizza Italy
Yin Ning Chiang Singapore
Ana Catalán Germany
Mianmian Chen China
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Stefano Messori Italy
Emily Smith relative to Jamie K. Lemon United States Jamie K. Lemon's profile →
Citations per field
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Citations per year

Countries citing papers authored by Emily Smith

Since Specialization
Citations

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

Fields of papers citing papers by Emily Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Smith, 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 Smith Line = papers co-authored together Emily Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1998101
2 202052
3 201851
4 202144
5 202142
6 202313
7 20248
8 20208
9 20235
10 20233
11 20233
12 20222
13 20222
14 20231
15 20231
16 20230
17 20240
18 20240
19 20240
20 20220

About Emily Smith

Emily Smith is a scholar working on Molecular Biology, Infectious Diseases, Microbiology, Genetics and Surgery, having authored 20 papers that have together received 336 indexed citations. Recurring topics across this work include Microbial infections and disease research (4 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), SARS-CoV-2 detection and testing (2 papers), Genomics and Phylogenetic Studies (2 papers), Hearing Loss and Rehabilitation (1 paper), Plant and Fungal Interactions Research (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Microbiology (59 citations), Sensory Systems (38 citations), Molecular Medicine (35 citations), Endocrinology (31 citations) and Ecology, Evolution, Behavior and Systematics (88 citations). Emily Smith has collaborated with scholars based in United States, Canada and Pakistan. Frequent co-authors include Daniel Promislow, Timothy J. Johnson, Jeffrey L. Danhauer, Muhammad Kashif Saleemi, Carole E. Johnson, Muhammad Umair, Shari Clifton, Mashkoor Mohsin, S. Godden and Elizabeth A. Miller. Their work appears in journals such as Microbial Genomics, The American Journal of Gastroenterology, Frontiers in Public Health, PLoS ONE and Translational Psychiatry.

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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