Liliana Păcureanu

501 citations
31 papers · 394 indexed · h-index 13
Topics
Computational Drug Discovery Methods (15 papers)Chemical Synthesis and Analysis (7 papers)Synthesis and biological activity (6 papers)
Journals
SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesMolecules

In The Last Decade

Liliana Păcureanu

30 papers receiving 389 citations

Peers

Liliana Păcureanu
Comparison fields: 5 of 74
  • Organic Chemistry 200
  • Computational Theory and Mathematics 164
  • Molecular Biology 148
  • Pharmacology 56
  • Spectroscopy 42
Replace Fabrizio Giorgi with:
Fabrizio Giorgi Italy
Kabir M. Uddin Bangladesh
P. Aleman Spain
H. Türkmen Türkiye
Sali̇ha Alyar Türkiye
Lucilla Varoli Italy
Ivan S. Kondratov Ukraine
Andreas Burgard Germany
Betül Tekiner-Gülbaş Türkiye
Katrina E. Frankcombe Australia
Liliana Păcureanu relative to Fabrizio Giorgi Italy Fabrizio Giorgi's profile →
Citations per field
00.5×3.2×
Fabrizio Giorgi · 1×
Citations per year

Countries citing papers authored by Liliana Păcureanu

Since Specialization
Citations

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

Fields of papers citing papers by Liliana Păcureanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liliana Păcureanu

This figure shows the co-authorship network connecting the top 25 collaborators of Liliana Păcureanu. A scholar is included among the top collaborators of Liliana Păcureanu 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 Liliana Păcureanu. Liliana Păcureanu 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
#WorkIndexed citations
1 12
2 1
3 14
4 3
5 1
6 16
7 0
8 12
9 11
10 12
11 5
12 5
13 48
14 27
15 18
16 27
17 23
18 13
19 3
20 12

About Liliana Păcureanu

Liliana Păcureanu is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Filtration and Separation, having authored 31 papers that have together received 394 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Chemical Synthesis and Analysis (7 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Computational Theory and Mathematics (164 citations), Organic Chemistry (200 citations) and Drug Discovery (1 citation). Liliana Păcureanu has collaborated with scholars based in Romania, United States and Estonia. Frequent co-authors include Luminita Crisan, Mati Karelson, Dimitar A. Dobchev, Alan R. Katritzky, Alina Bora, Sorin Avram, Svetoslav Slavov, Ludovic Kurunczi, Alexandra Crăciun and Zeno Simon. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Molecules.

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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