Tamra E. Meyer

31 papers receiving 956 citations

Peers

Tamra E. Meyer
Comparison fields: 5 of 110
  • Hepatology 118
  • Cancer Research 141
  • Oncology 237
  • Public Health, Environmental and Occupational Health 192
  • Epidemiology 211
Replace John Earl with:
John Earl Australia
Scott Davies United Kingdom
Ingo Meyer Germany
Kaneez Fatima Pakistan
Hyunsu Ju United States
Poon-Chuen Wong China
Jianing Wang United States
Joshua S. Fleishman United States
Lisa Patel United States
Tamra E. Meyer relative to John Earl Australia John Earl's profile →
Citations per field
00.5×3.6×
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Citations per year

Countries citing papers authored by Tamra E. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Tamra E. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamra E. Meyer. 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 Tamra E. Meyer. The network helps show where Tamra E. Meyer may publish in the future.

Co-authors

The 25 scholars most cited alongside Tamra E. Meyer, 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 Tamra E. Meyer Line = papers co-authored together Tamra E. Meyer 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 2017120
2 200795
3 200893
4 201171
5 200470
6 200652
7 201046
8 201445
9 201141
10 201341
11 201041
12 201238
13 200738
14 201133
15 200725
16 200824
17 201423
18 201917
19 200811
20 201811

About Tamra E. Meyer

Tamra E. Meyer is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Anesthesiology and Pain Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 990 indexed citations. Recurring topics across this work include Opioid Use Disorder Treatment (7 papers), Pain Management and Opioid Use (7 papers), Prostate Cancer Treatment and Research (4 papers), Anesthesia and Pain Management (4 papers), Viral Infections and Vectors (3 papers), Global Cancer Incidence and Screening (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Hepatology (118 citations), Cancer Research (141 citations), Oncology (237 citations), Public Health, Environmental and Occupational Health (192 citations) and Epidemiology (211 citations). Tamra E. Meyer has collaborated with scholars based in United States, China and India. Frequent co-authors include Xianglin L. Du, Ann W. Hsing, Luisa Franzini, Shenying Fang, Lisa W. Chu, Ann L. Coker, Maureen Sanderson, S. Christopher Jones, Adebola Ajao and Allen Brinker. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Pharmacoepidemiology and Drug Safety, Pain Medicine, Cancer and British Journal of Cancer.

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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