Sandra Šegan

34 papers receiving 472 citations

Peers

Sandra Šegan
Comparison fields: 5 of 83
  • Computational Theory and Mathematics 143
  • Analytical Chemistry 82
  • Spectroscopy 126
  • Biochemistry 39
  • Molecular Medicine 24
Replace Edyta M. Grzelak with:
Edyta M. Grzelak United States
Yiqun Chang China
Ahmad J. Almalki Saudi Arabia
Matt G. Goering United States
Yue Ding China
Alan César Pilon Brazil
Anupam Maurya India
Mario O. Salazar Argentina
Chao Liang China
Milan Mladenović Serbia
Sandra Šegan relative to Edyta M. Grzelak United States Edyta M. Grzelak's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sandra Šegan

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Šegan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201752
3 201548
4 201926
5 201424
6 202223
7 202120
8 201117
9 201717
10 202217
11 201717
12 201515
13 201914
14 201013
15 201212
16 201612
17 201611
18 20149
19 20198
20 20228

About Sandra Šegan

Sandra Šegan is a scholar working on Spectroscopy, Computational Theory and Mathematics, Molecular Biology, Analytical Chemistry and Organic Chemistry, having authored 34 papers that have together received 476 indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (18 papers), Computational Drug Discovery Methods (15 papers), Chromatography in Natural Products (6 papers), Cholinesterase and Neurodegenerative Diseases (4 papers), Analytical Methods in Pharmaceuticals (3 papers), Bacterial biofilms and quorum sensing (3 papers), Free Radicals and Antioxidants (3 papers) and Plant Physiology and Cultivation Studies (2 papers). The work is most often cited by research in Computational Theory and Mathematics (143 citations), Analytical Chemistry (82 citations), Spectroscopy (126 citations), Biochemistry (39 citations) and Molecular Medicine (24 citations). Sandra Šegan has collaborated with scholars based in Serbia, United States and Croatia. Frequent co-authors include Dušanka Milojković‐Opsenica, Filip Andrić, Dejan Opsenica, Mario Zlatović, Lidija Šenerović, Bogdan A. Šolaja, Anita Rácz, Károly Héberger, Dávid Bajusz and Ivana Aleksić. Their work appears in journals such as Journal of Chromatography B, Journal of Liquid Chromatography & Related Technologies, Journal of Pharmaceutical and Biomedical Analysis, Journal of Separation Science and ACS Chemical Biology.

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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