András Rab

1.8k citations
31 papers · 1.1k indexed · h-index 18

Impact in

Papers in

András Rab

30 papers receiving 1.0k citations

Peers

András Rab
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 562
  • Cell Biology 234
  • Molecular Biology 467
  • Cancer Research 84
  • Genetics 51
Replace Valeria Tomati with:
Valeria Tomati Italy
April Mengos United States
Jaclyn R. Stonebraker United States
X.B. Chang Canada
Cecilia G. Sánchez United States
Scott D. Bercury United States
Ellen Welch United States
Jing Qu China
Prathibha Ranganathan India
Matthew Donne United States
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Citations per field
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Citations per year

Countries citing papers authored by András Rab

Since Specialization
Citations

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

Fields of papers citing papers by András Rab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013128
2 2011122
3 200888
4 201870
5 200865
6 202060
7 200659
8 201353
9 200751
10 201440
11 201138
12 201133
13 201932
14 201929
15 200229
16 201628
17 201526
18 202121
19 202317
20 202414

About András Rab

András Rab is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cell Biology, Physiology and Genetics, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (21 papers), Neonatal Respiratory Health Research (13 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Tracheal and airway disorders (3 papers), RNA regulation and disease (3 papers), Pancreatic function and diabetes (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (562 citations), Cell Biology (234 citations), Molecular Biology (467 citations), Cancer Research (84 citations) and Genetics (51 citations). András Rab has collaborated with scholars based in United States, Hungary and Netherlands. Frequent co-authors include Zsuzsa Bebők, James F. Collawn, Rafał Bartoszewski, Steven M. Rowe, Eric J. Sorscher, Sadis Matalon, Jeong S. Hong, Asta Jurkuvenaite, John Wakefield and S. Vamsee Raju. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, American Journal of Respiratory Cell and Molecular Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology and Molecular Therapy.

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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