Andrei Ursu

636 citations
18 papers · 470 · h-index 14

Impact in

    • Neurogenetic and Muscular Disorders Research
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Pluripotent Stem Cells Research
    • DNA and Nucleic Acid Chemistry

Papers in

    • Pluripotent Stem Cells Research 4
    • CRISPR and Genetic Engineering 3
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • Neurogenetic and Muscular Disorders Research 3

Andrei Ursu

18 papers receiving 438 citations

Peers

Andrei Ursu
Comparison fields: 5 of 76
  • Genetics 60
  • Molecular Biology 343
  • Neurology 65
  • Computational Theory and Mathematics 43
  • Biophysics 14
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Viswanath Das Czechia
Greta Musteikytė Lithuania
Ricardo Sant’Anna Brazil
Piriya Wongkongkathep United States
Michael R. White United States
Suzanne G. Rzuczek United States
Yichen Li China
Deep Chatterjee Germany
Naoko Katayama Japan
Xiulong Shen United States
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Citations per field
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Citations per year

Countries citing papers authored by Andrei Ursu

Since Specialization
Citations

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

Fields of papers citing papers by Andrei Ursu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201892
2 202163
3 202051
4 201930
5 201528
6 201626
7 201625
8 202022
9 201921
10 201119
11 201918
12 201116
13 201515
14 202015
15 202113
16 201711
17 20233
18 19972

About Andrei Ursu

Andrei Ursu is a scholar working on Molecular Biology, Genetics, Neurology, Physical and Theoretical Chemistry and Computational Theory and Mathematics, having authored 18 papers that have together received 470 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), CRISPR and Genetic Engineering (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Computational Drug Discovery Methods (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Genetics (60 citations), Molecular Biology (343 citations), Neurology (65 citations), Computational Theory and Mathematics (43 citations) and Biophysics (14 citations). Andrei Ursu has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Herbert Waldmann, Matthew David Disney, Jessica L. Childs‐Disney, Hans Robert Schöler, Samantha M. Meyer, Alicia J. Angelbello, Franz Peter Schmidtchen, Leonard Petrucelli, Yong‐Jie Zhang and Tania Gendron. Their work appears in journals such as Cell chemical biology, Angewandte Chemie International Edition, ACS Chemical Biology, CrystEngComm and The Annals of Family Medicine.

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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