Dolena Ledee

55 papers receiving 1.8k citations

Peers

Dolena Ledee
Comparison fields: 5 of 103
  • Endocrinology 871
  • Ophthalmology 299
  • Molecular Biology 1.2k
  • Developmental Neuroscience 56
  • Immunology 236
Replace Marion Faigle with:
Marion Faigle Germany
E. Ricky Chan United States
Pawan Kumar Singh India
Wojciech Ornatowski United States
Scott J. Howell United States
Dong Zhou China
Akiko Hattori Japan
Jae Jin Chae United States
Tara Seshadri Canada
Inès Schmid Switzerland
Dolena Ledee relative to Marion Faigle Germany Marion Faigle's profile →
Citations per field
00.5×20×40×59.8×
Marion Faigle · 1×
Citations per year

Countries citing papers authored by Dolena Ledee

Since Specialization
Citations

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

Fields of papers citing papers by Dolena Ledee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998331
2 1996174
3
Acanthamoeba griffini. Molecular characterization of a new corneal pathogen.
1996104
4 200997
5 201095
6 200990
7 201282
8 200353
9 201652
10 201051
11
CDK5 regulates cell adhesion and migration in corneal epithelial cells.
200242
12 201239
13 201439
14 200237
15 200135
16 201934
17 201433
18 200031
19 200531
20 200429

About Dolena Ledee

Dolena Ledee is a scholar working on Molecular Biology, Endocrinology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (11 papers), Cardiac Ischemia and Reperfusion (9 papers), Bacterial biofilms and quorum sensing (6 papers), Connexins and lens biology (6 papers), Mechanical Circulatory Support Devices (6 papers), Yersinia bacterium, plague, ectoparasites research (5 papers), Thyroid Disorders and Treatments (5 papers) and Cardiovascular Function and Risk Factors (5 papers). The work is most often cited by research in Endocrinology (871 citations), Ophthalmology (299 citations), Molecular Biology (1.2k citations), Developmental Neuroscience (56 citations) and Immunology (236 citations). Dolena Ledee has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Thomas J. Byers, Paul A. Fuerst, Rebecca J. Gast, Michael A. Portman, Eduardo C. Alfonso, Darlene Miller, Alfonso Iovieno, Aaron Olson, Masaki Kajimoto and Salvador Rodrı́guez-Zaragoza. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Investigative Ophthalmology & Visual Science, Journal of the American Heart Association, PLoS ONE and Journal of Molecular and Cellular Cardiology.

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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