Liudmila Cebotaru

2.2k citations
62 papers · 1.8k indexed · h-index 28

Liudmila Cebotaru

60 papers receiving 1.8k citations

Peers

Liudmila Cebotaru
Comparison fields: 5 of 90
  • Pulmonary and Respiratory Medicine 583
  • Genetics 456
  • Molecular Biology 976
  • Cell Biology 171
  • Pharmaceutical Science 61
Replace Kayoko Higuchi with:
Kayoko Higuchi Japan
Pascale Fanen France
Judit E. Pongrácz Hungary
Kathryn W. Peters United States
Ula V. Jurkunas United States
Zhaoqing Zhou United States
Theodore J. Koh United States
Gaurav Mehta United States
Lyse A. Norian United States
Xiao-Pei Gao United States
Liudmila Cebotaru relative to Kayoko Higuchi Japan Kayoko Higuchi's profile →
Citations per field
00.5×3.4×
Kayoko Higuchi · 1×
Citations per year

Countries citing papers authored by Liudmila Cebotaru

Since Specialization
Citations

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

Fields of papers citing papers by Liudmila Cebotaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20231
4 20232
5 20215
6 202116
7 202013
8 20196
9 20192
10
The CFTR corrector, VX-809 (Lumacaftor) and Hsp27 rescues ABCA4 trafficking mutants: a potential treatment for Stargardt disease
20181
11 201823
12 201810
13 201718
14 201730
15 20165
16 201428
17 201236
18 2012131
19 201160
20 200950

About Liudmila Cebotaru

Liudmila Cebotaru is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Aging, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (30 papers), Genetic and Kidney Cyst Diseases (16 papers), Neonatal Respiratory Health Research (11 papers), Virus-based gene therapy research (9 papers), Cellular transport and secretion (7 papers), Biomedical Research and Pathophysiology (6 papers), Ion Transport and Channel Regulation (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (583 citations), Genetics (456 citations) and Molecular Biology (976 citations). Liudmila Cebotaru has collaborated with scholars based in United States, Brazil and Czechia. Frequent co-authors include William B. Guggino, Valeriu Cebotaru, Sandra E. Guggino, Miquéias Lopes‐Pacheco, Jerry Wright, Daniele Rapino, Marcelo M. Morales, Netty Santoso, G. William Wong and Jonathan M. Peterson. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and The FASEB Journal.

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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