Uko Maran

91 papers receiving 2.7k citations

Peers

Uko Maran
Comparison fields: 5 of 137
  • Computational Theory and Mathematics 1.3k
  • Spectroscopy 527
  • Filtration and Separation 60
  • Organic Chemistry 780
  • Catalysis 142
Replace Victor S. Lobanov with:
Victor S. Lobanov United States
Igor I. Baskin Russia
James F. Rathman United States
V. Е. Kuz’min Ukraine
Gilles Marcou France
Rudra Narayan Das India
Vijay K. Gombar United States
Indrani Mitra India
David T. Stanton United States
Alla P. Toropova Italy
Uko Maran relative to Victor S. Lobanov United States Victor S. Lobanov's profile →
Citations per field
00.5×1.5×
Victor S. Lobanov · 1×
Citations per year

Countries citing papers authored by Uko Maran

Since Specialization
Citations

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

Fields of papers citing papers by Uko Maran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999223
2 2001193
3 2008185
4 200199
5 199991
6 200389
7 200889
8 199768
9 201564
10 200163
11 201862
12 199961
13 201359
14 199957
15 199155
16 200254
17 200949
18 200441
19 200339
20 200438

About Uko Maran

Uko Maran is a scholar working on Computational Theory and Mathematics, Molecular Biology, Organic Chemistry, Spectroscopy and Health, Toxicology and Mutagenesis, having authored 93 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (57 papers), Analytical Chemistry and Chromatography (17 papers), Free Radicals and Antioxidants (12 papers), Environmental Toxicology and Ecotoxicology (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Chemistry and Chemical Engineering (7 papers), Crystallization and Solubility Studies (6 papers) and Electrochemical Analysis and Applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Spectroscopy (527 citations), Filtration and Separation (60 citations), Organic Chemistry (780 citations) and Catalysis (142 citations). Uko Maran has collaborated with scholars based in Estonia, United States and Italy. Frequent co-authors include Alan R. Katritzky, Mati Karelson, Sulev Sild, Alfonso T. García‐Sosa, Csaba Hetényi, Victor S. Lobanov, Ruslan Petrukhin, Douglas B. Tatham, Andre Lomaka and Geven Piir. Their work appears in journals such as Journal of Chemical Information and Modeling, SAR and QSAR in environmental research, International Journal of Molecular Sciences, Chemosphere and Molecular Informatics.

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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