Ivan Senta

3.3k citations
35 papers · 2.3k · h-index 26

Impact in

  • Pollution top 0.5%
    • Pharmaceutical and Antibiotic Environmental Impacts
  • Toxicology top 0.5%
    • Forensic Toxicology and Drug Analysis

Papers in

Ivan Senta

35 papers receiving 2.3k citations

Peers

Ivan Senta
Comparison fields: 5 of 123
  • Pollution 1.6k
  • Toxicology 310
  • Analytical Chemistry 496
  • Health, Toxicology and Mutagenesis 643
  • Applied Microbiology and Biotechnology 73
Replace Senka Terzić with:
Senka Terzić Croatia
Emma Gracia‐Lor Spain
Foon Yin Lai Australia
Bikram Subedi United States
Xiu‐Sheng Miao Canada
Richard Bade Australia
Ana M. Botero-Coy Spain
Yolanda Valcárcel Spain
‪Nikiforos Alygizakis Greece
Cristina Blasco Spain
Ivan Senta relative to Senka Terzić Croatia Senka Terzić's profile →
Citations per field
00.5×1.5×2.1×
Senka Terzić · 1×
Citations per year

Countries citing papers authored by Ivan Senta

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Senta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017300
2 2008238
3 2015168
4 2014135
5 2010135
6 2012115
7 201990
8 201086
9 201884
10 201780
11 201478
12 201975
13 201573
14 200873
15 201562
16 201356
17 201753
18 201652
19 201848
20 202042

About Ivan Senta

Ivan Senta is a scholar working on Pollution, Analytical Chemistry, Pharmacology, Health, Toxicology and Mutagenesis and Toxicology, having authored 35 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pharmaceutical and Antibiotic Environmental Impacts (28 papers), Analytical chemistry methods development (11 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Forensic Toxicology and Drug Analysis (5 papers), Water Treatment and Disinfection (4 papers), Antibiotic Resistance in Bacteria (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Environmental Chemistry and Analysis (3 papers). The work is most often cited by research in Pollution (1.6k citations), Toxicology (310 citations), Analytical Chemistry (496 citations), Health, Toxicology and Mutagenesis (643 citations) and Applied Microbiology and Biotechnology (73 citations). Ivan Senta has collaborated with scholars based in Croatia, Italy and Spain. Frequent co-authors include Marijan Ahel, Senka Terzić, Ettore Zuccato, Sara Castiglioni, Andrea Borsotti, Ivona Krizman-Matasic, Nikolina Udiković‐Kolić, Milena Milaković, Juan José González Plaza and Ana Šimatović. Their work appears in journals such as The Science of The Total Environment, Water Research, Environmental Science & Technology, Analytical and Bioanalytical Chemistry and Environmental Pollution.

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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