Adrian Pasculescu

3.3k total citations
23 papers, 1.2k citations indexed

About

Adrian Pasculescu is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Adrian Pasculescu has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Spectroscopy and 3 papers in Infectious Diseases. Recurrent topics in Adrian Pasculescu's work include Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Adrian Pasculescu is often cited by papers focused on Bioinformatics and Genomic Networks (6 papers), Advanced Proteomics Techniques and Applications (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Adrian Pasculescu collaborates with scholars based in Canada, United States and Egypt. Adrian Pasculescu's co-authors include Tony Pawson, Rune Linding, Karen Colwill, Marina Olhovsky, Claus Jørgensen, Michael B. Yaffe, Lars Juhl Jensen, Peer Bork, Chris Soon Heng Tan and Gary D. Bader and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Adrian Pasculescu

23 papers receiving 1.2k citations

Peers

Adrian Pasculescu
Comparison fields: 5 of 110
  • Molecular Biology 951
  • Spectroscopy 282
  • Cell Biology 194
  • Oncology 164
  • Cellular and Molecular Neuroscience 107
Replace С. И. Ткачев with:
С. И. Ткачев Russia
Felix Oppermann Germany
Daniel Hirschberg Sweden
Mogens M. Nielsen Denmark
Martin Soste Switzerland
Ginny I. Chen Canada
Lorne Taylor Canada
Marian Kalocsay United States
Severine Gharbi Spain
Damian Fermin United States
С. И. Ткачев Russia View profile →
Citations per field, relative to Adrian Pasculescu
Adrian Pasculescu · 1×
Citations per year, relative to Adrian Pasculescu
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Countries citing papers authored by Adrian Pasculescu

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Pasculescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Pasculescu

This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Pasculescu. A scholar is included among the top collaborators of Adrian Pasculescu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adrian Pasculescu. Adrian Pasculescu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 4
3 2
4 5
5 30
6 10
7 15
8 27
9 58
10 1
11
The Adaptor Protein p66Shc Inhibits mTOR-Dependent Anabolic Metabolism
33
12 223
13 16
14 17
15 190
16 78
17 159
18 278
19
Stratified Programming Integrated Development Environment (SPIDER).
7
20
Stratified Programming: Towards a New Paradigm for Software Development.
1

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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