Elizabeth Sims

869 citations
11 papers · 573 · h-index 7

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 1
    • Adipose Tissue and Metabolism 2
    • Dietary Effects on Health 1

Elizabeth Sims

11 papers receiving 562 citations

Peers

Elizabeth Sims
Comparison fields: 5 of 69
  • Modeling and Simulation 86
  • Infectious Diseases 291
  • Family Practice 20
  • Health 35
  • Clinical Psychology 51
Replace Tracey A. Mitchell with:
Tracey A. Mitchell United Kingdom
Tilahun Yemanu Birhan Ethiopia
Carmen Whyte South Africa
Jacqueline Voget South Africa
Chantal Martinez Switzerland
Massimo Lombardo Italy
Vishal Chopra India
Stephanie Santos-Paulo United Kingdom
Tom Pham United States
Niloufar Taherpour Iran
Elizabeth Sims relative to Tracey A. Mitchell United Kingdom Tracey A. Mitchell's profile →
Citations per field
00.5×2×4×6.7×
Tracey A. Mitchell · 1×
Citations per year

Countries citing papers authored by Elizabeth Sims

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2021214
2 2020194
3 202160
4 201640
5 202017
6 201212
7 201811
8 20197
9 20207
10 20186
11 20195

About Elizabeth Sims

Elizabeth Sims is a scholar working on Infectious Diseases, Physiology, Pediatrics, Perinatology and Child Health, Family Practice and Speech and Hearing, having authored 11 papers that have together received 573 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Adipose Tissue and Metabolism (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Mast cells and histamine (1 paper), Cannabis and Cannabinoid Research (1 paper), COVID-19 Clinical Research Studies (1 paper) and Dietary Effects on Health (1 paper). The work is most often cited by research in Modeling and Simulation (86 citations), Infectious Diseases (291 citations), Family Practice (20 citations), Health (35 citations) and Clinical Psychology (51 citations). Elizabeth Sims has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include M. Constantine Samaan, Lehana Thabane, Coralia Vázquez‐Otero, Laura E. Banfield, Adam J. Fleming, Kenneth H. Johnson, Donna Lynn Johnston, Kristen J. Wells, Danielle Ung and Christine Laronga. Their work appears in journals such as Scientific Reports, Clinical Infectious Diseases, Systematic Reviews, Supportive Care in Cancer and eLife.

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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