Corina Dota

597 citations
20 papers · 397 · h-index 9

Impact in

Papers in

Corina Dota

19 papers receiving 376 citations

Peers

Corina Dota
Comparison fields: 5 of 52
  • Cardiology and Cardiovascular Medicine 236
  • Statistics and Probability 40
  • Computational Theory and Mathematics 54
  • Molecular Biology 155
  • Hematology 16
Replace Lucette Doessegger with:
Lucette Doessegger Switzerland
Ashit Trivedi United States
Kristin Karlsson Sweden
Annika Janefeldt Sweden
Carmen M. Dumaual United States
Ian Mongrain Canada
Acton Rt United States
Lee‐Jen Wei United States
Ling Zhou China
Maria L. Alvarellos United States
Corina Dota relative to Lucette Doessegger Switzerland Lucette Doessegger's profile →
Citations per field
00.5×4.5×
Lucette Doessegger · 1×
Citations per year

Countries citing papers authored by Corina Dota

Since Specialization
Citations

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

Fields of papers citing papers by Corina Dota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2015143
2 201382
3 201743
4 201621
5 200220
6 202112
7 202212
8 200312
9 201612
10 20218
11 20216
12 20185
13 20215
14 20115
15 20123
16 20193
17 20222
18 20242
19 20201
20 20240

About Corina Dota

Corina Dota is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Computational Theory and Mathematics, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Receptor Mechanisms and Signaling (4 papers), Ion channel regulation and function (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Computational Drug Discovery Methods (2 papers), Lung Cancer Treatments and Mutations (2 papers), ECG Monitoring and Analysis (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (236 citations), Statistics and Probability (40 citations), Computational Theory and Mathematics (54 citations), Molecular Biology (155 citations) and Hematology (16 citations). Corina Dota has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Börje Darpö, Georg Ferber, James J. Keirns, Norman Stockbridge, Christine Garnett, Charles Benson, Venkateswar Jarugula, Nenad Sarapa, Catherine Ortemann‐Renon and Steve Riley. Their work appears in journals such as British Journal of Clinical Pharmacology, Annals of Noninvasive Electrocardiology, The Journal of Clinical Pharmacology, Journal of Pharmacokinetics and Pharmacodynamics and Toxicological Sciences.

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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