Tea E. Acuff

3.3k citations
40 papers · 2.4k indexed · h-index 26

Impact in

Papers in

Tea E. Acuff

39 papers receiving 2.3k citations

Peers

Tea E. Acuff
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 1.0k
  • Surgery 1.7k
  • Pulmonary and Respiratory Medicine 1.0k
  • Pathology and Forensic Medicine 331
  • Anesthesiology and Pain Medicine 85
Replace Klaus G. Schmidt with:
Klaus G. Schmidt Germany
Douglas M. Behrendt United States
William S. Stoney United States
Philippe Demers Canada
John A. Spittell United States
James L. Monro United Kingdom
Heikki Sairanen Finland
Cheol Hyun Chung South Korea
Pascal Berdat Switzerland
Nancy Poirier Canada
Tea E. Acuff relative to Klaus G. Schmidt Germany Klaus G. Schmidt's profile →
Citations per field
00.5×3.5×
Klaus G. Schmidt · 1×
Citations per year

Countries citing papers authored by Tea E. Acuff

Since Specialization
Citations

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

Fields of papers citing papers by Tea E. Acuff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992273
2 1996246
3 1992231
4 1993185
5 1992119
6 1993108
7 200295
8 199495
9 199590
10 200282
11 199379
12 200176
13 199373
14 199565
15 199363
16 199360
17 199460
18 199748
19 197942
20 199440

About Tea E. Acuff

Tea E. Acuff is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Neurology, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac and Coronary Surgery Techniques (23 papers), Cardiac Valve Diseases and Treatments (12 papers), Cardiac, Anesthesia and Surgical Outcomes (10 papers), Myasthenia Gravis and Thymoma (7 papers), Pleural and Pulmonary Diseases (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Pericarditis and Cardiac Tamponade (4 papers) and Aortic Disease and Treatment Approaches (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Surgery (1.7k citations), Pulmonary and Respiratory Medicine (1.0k citations), Pathology and Forensic Medicine (331 citations) and Anesthesiology and Pain Medicine (85 citations). Tea E. Acuff has collaborated with scholars based in United States, Guatemala and Philippines. Frequent co-authors include Michael J. Mack, William H. Ryan, Rodney J. Landreneau, Mitchell J. Magee, Stephen R. Hazelrigg, Guo‐Wei He, Mark B. Douthit, Bartley P. Griffith, John J. Regan and Robert D. Dowling. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, Journal of Cardiothoracic and Vascular Anesthesia, Journal of Parenteral and Enteral Nutrition and The Heart Surgery Forum.

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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