Susan DiAngelo

2.1k total citations
40 papers, 1.8k citations indexed

About

Susan DiAngelo is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Susan DiAngelo has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 12 papers in Molecular Biology and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Susan DiAngelo's work include Neonatal Respiratory Health Research (26 papers), Neuroscience of respiration and sleep (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Susan DiAngelo is often cited by papers focused on Neonatal Respiratory Health Research (26 papers), Neuroscience of respiration and sleep (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers). Susan DiAngelo collaborates with scholars based in United States, Greece and Mexico. Susan DiAngelo's co-authors include Joanna Floros, Neil D. Christensen, John W. Kreider, Guirong Wang, Xiaoxuan Guo, Patricia Silveyra, Neal J. Thomas, Zhenwu Lin, Moisés Selman and Annie Pardo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Susan DiAngelo

40 papers receiving 1.7k citations

Peers

Susan DiAngelo
Comparison fields: 5 of 96
  • Pulmonary and Respiratory Medicine 1.1k
  • Epidemiology 439
  • Molecular Biology 334
  • Immunology 321
  • Endocrine and Autonomic Systems 309
Replace J. Freek van Iwaarden with:
J. Freek van Iwaarden Netherlands
Alfin G. Vicencio United States
Amin Afrazi United States
Vicki T. Winter United States
Susan B. Morris United States
Carla M. T. Bauer Canada
Alix Ashare United States
Jianping Xu China
Pilar Sáenz Spain
I. C. S. Normand United Kingdom
J. Freek van Iwaarden Netherlands View profile →
Citations per field, relative to Susan DiAngelo
Susan DiAngelo · 1×
Citations per year, relative to Susan DiAngelo
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Countries citing papers authored by Susan DiAngelo

Since Specialization
Citations

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

Fields of papers citing papers by Susan DiAngelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan DiAngelo. 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 Susan DiAngelo. The network helps show where Susan DiAngelo may publish in the future.

Co-authorship network of co-authors of Susan DiAngelo

This figure shows the co-authorship network connecting the top 25 collaborators of Susan DiAngelo. A scholar is included among the top collaborators of Susan DiAngelo 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 Susan DiAngelo. Susan DiAngelo 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 15
2 11
3 14
4 35
5 24
6 15
7 24
8 61
9 29
10 16
11 19
12 117
13 54
14 59
15 24
16 136
17 26
18 146
19 133
20 5

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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