Eleonora Keating

713 citations
17 papers · 587 · h-index 14

Impact in

Papers in

Eleonora Keating

17 papers receiving 581 citations

Peers

Eleonora Keating
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 70
  • Pulmonary and Respiratory Medicine 280
  • Cell Biology 108
  • Biophysics 24
  • Microbiology 22
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Michaela Ross Germany
Kathleen Shiffer United States
Niklas Bark Sweden
M. Yano Japan
Samuel Hawgood United States
Hidenori Yoshino Japan
Kavin G. Shah United States
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Kurt F. Jaenicke United States
Elliot K. Beutler United States
Eleonora Keating relative to Michaela Ross Germany Michaela Ross's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eleonora Keating

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Keating

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eleonora Keating, 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 Eleonora Keating Line = papers co-authored together Eleonora Keating links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201184
2 200579
3 200773
4 200863
5 200351
6 201546
7 200841
8 200727
9 200825
10 200323
11 200621
12 201420
13 201016
14 201114
15 20022
16 20091
17 19861

About Eleonora Keating

Eleonora Keating is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Computational Mechanics, Cell Biology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (6 papers), Inhalation and Respiratory Drug Delivery (5 papers), Lipid Membrane Structure and Behavior (5 papers), Caveolin-1 and cellular processes (3 papers), Respiratory Support and Mechanisms (2 papers), TGF-β signaling in diseases (2 papers), Neuroscience of respiration and sleep (2 papers) and Vehicle emissions and performance (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (70 citations), Pulmonary and Respiratory Medicine (280 citations), Cell Biology (108 citations), Biophysics (24 citations) and Microbiology (22 citations). Eleonora Keating has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Nils O. Petersen, Ruud A. W. Veldhuizen, Anja Nohe, Fred Possmayer, Yi Y. Zuo, Seyed Mohammad Tadayyon, Petra Knaus, T. Michael Underhill, Anne Petersen and Lin Zhao. Their work appears in journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes, Journal of Cell Science, Biophysical Chemistry and Antimicrobial Agents and Chemotherapy.

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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