Evgenia Teal

1.0k total citations
31 papers, 646 citations indexed

About

Evgenia Teal is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Oncology. According to data from OpenAlex, Evgenia Teal has authored 31 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 6 papers in Geriatrics and Gerontology and 6 papers in Oncology. Recurrent topics in Evgenia Teal's work include Pharmaceutical Practices and Patient Outcomes (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Global Cancer Incidence and Screening (3 papers). Evgenia Teal is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Global Cancer Incidence and Screening (3 papers). Evgenia Teal collaborates with scholars based in United States, Belgium and Philippines. Evgenia Teal's co-authors include D. D. Gulley, Suthat Liangpunsakul, Naga Chalasani, Naga Chalasani, Marc B. Rosenman, Timothy D. Imler, Michael D. Murray, Siu L. Hui, Kevin T. Stroupe and Michael Weiner and has published in prestigious journals such as Clinical Infectious Diseases, American Journal of Epidemiology and The American Journal of Medicine.

In The Last Decade

Evgenia Teal

29 papers receiving 628 citations

Peers

Evgenia Teal
Comparison fields: 5 of 94
  • Epidemiology 235
  • Hepatology 201
  • Surgery 125
  • Oncology 95
  • Pulmonary and Respiratory Medicine 86
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Citations per field, relative to Evgenia Teal
Evgenia Teal · 1×
Citations per year, relative to Evgenia Teal
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Countries citing papers authored by Evgenia Teal

Since Specialization
Citations

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

Fields of papers citing papers by Evgenia Teal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evgenia Teal

This figure shows the co-authorship network connecting the top 25 collaborators of Evgenia Teal. A scholar is included among the top collaborators of Evgenia Teal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Evgenia Teal. Evgenia Teal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 5
4 10
5 10
6 53
7 3
8
Lower provider volume is associated with higher failure rates for endoscopic retrograde cholangiopancreatography
6
9 17
10 59
11 24
12
VA-INPC: Linking Department of Veterans Affairs (VA) and Indiana Network for Patient Care (INPC) data to assess surveillance testing among veterans with colorectal cancer.
3
13 26
14 148
15 51
16 3
17 40
18 28
19 34
20 20

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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