Sheila S. Kun

1.1k total citations
32 papers, 738 citations indexed

About

Sheila S. Kun is a scholar working on Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Surgery. According to data from OpenAlex, Sheila S. Kun has authored 32 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Pulmonary and Respiratory Medicine, 14 papers in Endocrine and Autonomic Systems and 11 papers in Surgery. Recurrent topics in Sheila S. Kun's work include Neonatal Respiratory Health Research (18 papers), Respiratory Support and Mechanisms (15 papers) and Neuroscience of respiration and sleep (14 papers). Sheila S. Kun is often cited by papers focused on Neonatal Respiratory Health Research (18 papers), Respiratory Support and Mechanisms (15 papers) and Neuroscience of respiration and sleep (14 papers). Sheila S. Kun collaborates with scholars based in United States and Grenada. Sheila S. Kun's co-authors include Thomas G. Keens, Jeffrey D. Edwards, Sally L. Davidson Ward, Iris A. Perez, Suchada Sritippayawan, Robert J. Graham, Mary Anne Tablizo, Maida Lynn Chen, Ajay S. Kasi and Cathy E. Shin and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and The Journal of Pediatrics.

In The Last Decade

Sheila S. Kun

32 papers receiving 715 citations

Peers

Sheila S. Kun
Comparison fields: 5 of 51
  • Pulmonary and Respiratory Medicine 528
  • Endocrine and Autonomic Systems 252
  • Surgery 241
  • Pediatrics, Perinatology and Child Health 143
  • Radiological and Ultrasound Technology 105
Replace G. Ottonello with:
G. Ottonello Italy
John Carl United States
Allen I. Goldberg United States
Jonathan M. Fanaroff United States
Joe Fawke United Kingdom
Jeroen J. van Vonderen Netherlands
Paola Pierucci Italy
Brenda H. Morris United States
Bin Huey Quek Singapore
Virginia S. Kharasch United States
G. Ottonello Italy View profile →
Citations per field, relative to Sheila S. Kun
Sheila S. Kun · 1×
Citations per year, relative to Sheila S. Kun
Sheila S. Kun · 1×

Countries citing papers authored by Sheila S. Kun

Since Specialization
Citations

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

Fields of papers citing papers by Sheila S. Kun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila S. Kun. 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 Sheila S. Kun. The network helps show where Sheila S. Kun may publish in the future.

Co-authorship network of co-authors of Sheila S. Kun

This figure shows the co-authorship network connecting the top 25 collaborators of Sheila S. Kun. A scholar is included among the top collaborators of Sheila S. Kun 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 Sheila S. Kun. Sheila S. Kun 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 2
2 1
3 4
4 14
5 1
6 1
7 34
8 18
9 100
10 1
11 23
12 23
13 34
14 5
15 52
16 35
17 57
18 18
19 25
20 1

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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