Sorel Mureşan

4.8k citations
48 papers · 3.3k indexed · 1 hit paper · h-index 23
Topics
Computational Drug Discovery Methods (31 papers)Analytical Chemistry and Chromatography (9 papers)Biomedical Text Mining and Ontologies (7 papers)

In The Last Decade

Sorel Mureşan

48 papers receiving 3.2k citations

Hit Papers

Quantifying the chemical beauty of drugs201220262016202120124008001.2k

Peers

Sorel Mureşan
Comparison fields: 5 of 142
  • Computational Theory and Mathematics 1.7k
  • Molecular Biology 1.6k
  • Organic Chemistry 549
  • Pharmacology 522
  • Materials Chemistry 483
Replace Philip W. Lee with:
Philip W. Lee China
Mathias Dunkel Germany
Diogo Santos‐Martins United States
Andreas F. Tillack United States
Jie Dong China
Priyanka Banerjee Germany
Xiaojie Xu China
Romualdo Benigni Italy
Paul M. Selzer Germany
Sorel Mureşan relative to Philip W. Lee China Philip W. Lee's profile →
Citations per field
00.5×1.5×2.4×
Philip W. Lee · 1×
Citations per year

Countries citing papers authored by Sorel Mureşan

Since Specialization
Citations

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

Fields of papers citing papers by Sorel Mureşan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sorel Mureşan

This figure shows the co-authorship network connecting the top 25 collaborators of Sorel Mureşan. A scholar is included among the top collaborators of Sorel Mureşan 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 Sorel Mureşan. Sorel Mureşan 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 13
2 79
3 38
4 29
5 16
6 213
7 7
8 27
9 17
10
Quantifying the chemical beauty of drugsbreakdown →
1362
11 55
12 15
13 27
14 43
15 83
16 143
17 20
18 12
19 7
20 22

About Sorel Mureşan

Sorel Mureşan is a scholar working on Computational Theory and Mathematics, Pharmacology and Spectroscopy, having authored 48 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (31 papers), Analytical Chemistry and Chromatography (9 papers) and Biomedical Text Mining and Ontologies (7 papers). The work is most often cited by research in Computational Theory and Mathematics (1.7k citations), Pharmacology (304 citations) and Pharmacology (522 citations). Sorel Mureşan has collaborated with scholars based in Sweden, United Kingdom and Romania. Frequent co-authors include G. Richard Bickerton, Andrew L. Hopkins, Jérémy Besnard, Gaia V. Paolini, Anders Backlund, Johan Gottfries, Josefin Rosén, Christopher Southan, Tudor I. Oprea and Hongming Chen. Their work appears in journals such as PLoS ONE, Nature Reviews Drug Discovery and Journal of Agricultural and Food Chemistry.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026