Veronica Yank

2.3k citations
47 papers · 1.4k · h-index 20

Impact in

Papers in

Veronica Yank

45 papers receiving 1.3k citations

Peers

Veronica Yank
Comparison fields: 5 of 112
  • Pharmacy 96
  • Statistics, Probability and Uncertainty 128
  • Critical Care and Intensive Care Medicine 67
  • Pharmacology 97
  • Hematology 119
Replace Gordon H. Guyatt with:
Gordon H. Guyatt Canada
Jeppe Bennekou Schroll Denmark
Jason Kendall United Kingdom
Rebecca MD Smyth United Kingdom
Liliane Zorzela Canada
Stuart G. Nicholls Canada
Ken Bassett Canada
Abel Thijs Netherlands
Jacques LeLorier Canada
Shannon Brownlee United States
Veronica Yank relative to Gordon H. Guyatt Canada Gordon H. Guyatt's profile →
Citations per field
00.5×7.4×
Gordon H. Guyatt · 1×
Citations per year

Countries citing papers authored by Veronica Yank

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Yank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012245
2 2007162
3 2011149
4 1999126
5 201186
6 200278
7 201556
8 200342
9 201540
10 201734
11 201334
12 201331
13 201531
14 201228
15 201424
16 201223
17 201723
18 201321
19 201920
20 201219

About Veronica Yank

Veronica Yank is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Pharmacy, Physiology and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (5 papers), Obesity and Health Practices (4 papers), Dementia and Cognitive Impairment Research (3 papers), Physical Activity and Health (3 papers), Pharmaceutical industry and healthcare (2 papers), Statistical Methods in Clinical Trials (2 papers), Genetics and Physical Performance (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Pharmacy (96 citations), Statistics, Probability and Uncertainty (128 citations), Critical Care and Intensive Care Medicine (67 citations), Pharmacology (97 citations) and Hematology (119 citations). Veronica Yank has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Randall S. Stafford, Jun Ma, Lan Xiao, Lisa G. Rosas, Lisa Bero, Drummond Rennie, Sandra R. Wilson, Aaron C. Logan, Philip W. Lavori and Deborah E. Barnes. Their work appears in journals such as Contemporary Clinical Trials, Annals of Internal Medicine, Journal of Medical Internet Research, JAMA Internal Medicine and Annals of Surgery.

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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