John J. Pacella

1.0k citations
48 papers · 791 indexed · h-index 16
Topics
Ultrasound and Hyperthermia Applications (23 papers)Photoacoustic and Ultrasonic Imaging (16 papers)Ultrasound and Cavitation Phenomena (8 papers)

In The Last Decade

John J. Pacella

46 papers receiving 777 citations

Peers

John J. Pacella
Comparison fields: 5 of 91
  • Biomedical Engineering 479
  • Surgery 196
  • Cardiology and Cardiovascular Medicine 154
  • Radiology, Nuclear Medicine and Imaging 141
  • Materials Chemistry 138
Replace François T.H. Yu with:
François T.H. Yu Canada
Juefei Wu China
Kenny M. Hansson Sweden
Todd Belcik United States
David Kricsfeld United States
Norman C. Goodman United States
Soroosh Firoozan United Kingdom
Azzdine Y. Ammi United States
Roger A. Vertrees United States
Jean-Philippe Collet France
John J. Pacella relative to François T.H. Yu Canada François T.H. Yu's profile →
Citations per field
00.5×3.1×
François T.H. Yu · 1×
Citations per year

Countries citing papers authored by John J. Pacella

Since Specialization
Citations

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

Fields of papers citing papers by John J. Pacella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John J. Pacella. 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 John J. Pacella. The network helps show where John J. Pacella may publish in the future.

Co-authorship network of co-authors of John J. Pacella

This figure shows the co-authorship network connecting the top 25 collaborators of John J. Pacella. A scholar is included among the top collaborators of John J. Pacella 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 John J. Pacella. John J. Pacella 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
#WorkIndexed citations
1 1
2 0
3 1
4 6
5 2
6 15
7 8
8 12
9 9
10 15
11 18
12 10
13 50
14 5
15 61
16 9
17 61
18 32
19 4
20 7

About John J. Pacella

John J. Pacella is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine and Biomedical Engineering, having authored 48 papers that have together received 791 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (23 papers), Photoacoustic and Ultrasonic Imaging (16 papers) and Ultrasound and Cavitation Phenomena (8 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (115 citations), Internal Medicine (61 citations) and Biomedical Engineering (479 citations). John J. Pacella has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Flordeliza S. Villanueva, Xucai Chen, Jianjun Wang, François T.H. Yu, Jonathan E. Leeman, John J. Black, Richard E. Clark, Judith Brands, Joan Gretton and Erxiong Lu. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

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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