Tea E. Acuff

3.3k citations
40 papers · 2.6k · h-index 26

Impact in

Papers in

Tea E. Acuff

38 papers receiving 2.4k citations

Peers

Tea E. Acuff
Comparison fields: 5 of 81
  • Surgery 1.5k
  • Cardiology and Cardiovascular Medicine 601
  • Pulmonary and Respiratory Medicine 807
  • Pathology and Forensic Medicine 249
  • Neurology 167
Replace Farid Gharagozloo with:
Farid Gharagozloo United States
John E. Codd United States
Thomas J. Vander Salm United States
Wilfried Wisser Austria
Joseph S. Carey United States
Hooshang Bolooki United States
Béat Friedli Switzerland
William H. Muller United States
Lyman A. Brewer United States
Allen S. Hudspeth United States
Tea E. Acuff relative to Farid Gharagozloo United States Farid Gharagozloo's profile →
Citations per field
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Farid Gharagozloo · 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 1992296
2 1996251
3 1992246
4 1993212
5 1992123
6 1993113
7 1995106
8 199499
9 200298
10 199389
11 199386
12 200284
13 200183
14 199568
15 199367
16 199366
17 199460
18 199751
19 199443
20 197941

About Tea E. Acuff

Tea E. Acuff is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Neurology and Pathology and Forensic Medicine, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cardiac and Coronary Surgery Techniques (23 papers), Myasthenia Gravis and Thymoma (7 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Cardiac Valve Diseases and Treatments (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Pleural and Pulmonary Diseases (5 papers), Pericarditis and Cardiac Tamponade (4 papers) and Tracheal and airway disorders (3 papers). The work is most often cited by research in Surgery (1.5k citations), Cardiology and Cardiovascular Medicine (601 citations), Pulmonary and Respiratory Medicine (807 citations), Pathology and Forensic Medicine (249 citations) and Neurology (167 citations). Tea E. Acuff has collaborated with scholars based in United States, Philippines and Guatemala. 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, John J. Regan, Bartley P. Griffith 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, Neuroendocrinology and CHEST Journal.

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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