Lisa Wise‐Faberowski

986 total citations
43 papers, 601 citations indexed

About

Lisa Wise‐Faberowski is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Surgery. According to data from OpenAlex, Lisa Wise‐Faberowski has authored 43 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 22 papers in Epidemiology and 17 papers in Surgery. Recurrent topics in Lisa Wise‐Faberowski's work include Congenital Heart Disease Studies (22 papers), Anesthesia and Neurotoxicity Research (10 papers) and Pulmonary Hypertension Research and Treatments (9 papers). Lisa Wise‐Faberowski is often cited by papers focused on Congenital Heart Disease Studies (22 papers), Anesthesia and Neurotoxicity Research (10 papers) and Pulmonary Hypertension Research and Treatments (9 papers). Lisa Wise‐Faberowski collaborates with scholars based in United States, Bulgaria and United Kingdom. Lisa Wise‐Faberowski's co-authors include Doff B. McElhinney, David S. Warner, Mohan K. Raizada, Colin Sumners, Frank L. Hanley, Ritu Asija, Robert D. Pearlstein, Richard J. Ing, Holly Bauser‐Heaton and Lynn F. Peng and has published in prestigious journals such as The Journal of Pediatrics, Journal of Thoracic and Cardiovascular Surgery and Anesthesia & Analgesia.

In The Last Decade

Lisa Wise‐Faberowski

41 papers receiving 585 citations

Peers

Lisa Wise‐Faberowski
Comparison fields: 5 of 65
  • Epidemiology 256
  • Pulmonary and Respiratory Medicine 251
  • Surgery 187
  • Developmental Neuroscience 183
  • Critical Care and Intensive Care Medicine 122
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Citations per field, relative to Lisa Wise‐Faberowski
Lisa Wise‐Faberowski · 1×
Citations per year, relative to Lisa Wise‐Faberowski
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Countries citing papers authored by Lisa Wise‐Faberowski

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Wise‐Faberowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Wise‐Faberowski. 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 Lisa Wise‐Faberowski. The network helps show where Lisa Wise‐Faberowski may publish in the future.

Co-authorship network of co-authors of Lisa Wise‐Faberowski

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Wise‐Faberowski. A scholar is included among the top collaborators of Lisa Wise‐Faberowski 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 Lisa Wise‐Faberowski. Lisa Wise‐Faberowski 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 5
3 2
4 9
5 4
6 6
7 11
8 8
9 2
10 1
11 20
12 8
13 9
14 4
15 16
16 11
17 20
18 10
19 16
20 66

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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