Milovan Ivanović
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
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- Neuropeptides and Animal Physiology
Papers in
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- Pharmacological Receptor Mechanisms and Effects 16
- Chemical Synthesis and Analysis 11
- Receptor Mechanisms and Signaling 6
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- Chemical Synthesis and Reactions 6
- Synthesis and Catalytic Reactions 4
- Co-authors
- Ljiljana Dos̆en‐Mićović (17 shared papers)Sonja Vučković (14 shared papers)David M. Piatak (3 shared papers)Milica Prostran (6 shared papers)Zoran Todorović (6 shared papers)Jelena Popović‐Djordjević (6 shared papers)Ivana Jevtić (7 shared papers)Goran Roglić (4 shared papers)
In The Last Decade
Milovan Ivanović
37 papers receiving 395 citations
Peers
Comparison fields: 5 of 66
- Toxicology 30
- Cellular and Molecular Neuroscience 118
- Organic Chemistry 154
- Process Chemistry and Technology 14
- Inorganic Chemistry 49
Countries citing papers authored by Milovan Ivanović
This map shows the geographic impact of Milovan Ivanović'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 Milovan Ivanović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milovan Ivanović more than expected).
Fields of papers citing papers by Milovan Ivanović
This network shows the impact of papers produced by Milovan Ivanović. 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 Milovan Ivanović. The network helps show where Milovan Ivanović may publish in the future.
Co-authors
The 25 scholars most cited alongside Milovan Ivanović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 54 | |
| 2 | 2009 | 52 | |
| 3 | 2006 | 39 | |
| 4 | 2000 | 36 | |
| 5 | 1990 | 27 | |
| 6 | 2017 | 17 | |
| 7 | 1996 | 16 | |
| 8 | 2016 | 15 | |
| 9 | 1998 | 15 | |
| 10 | 2009 | 14 | |
| 11 | 2000 | 13 | |
| 12 | 2004 | 10 | |
| 13 | 1998 | 10 | |
| 14 | 2013 | 9 | |
| 15 | 2005 | 9 | |
| 16 | 2002 | 8 | |
| 17 | 2004 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2011 | 6 | |
| 20 | 1996 | 6 |
About Milovan Ivanović
Milovan Ivanović is a scholar working on Molecular Biology, Organic Chemistry, Cellular and Molecular Neuroscience, Physiology and Spectroscopy, having authored 38 papers that have together received 410 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (16 papers), Chemical Synthesis and Analysis (11 papers), Neuropeptides and Animal Physiology (10 papers), Receptor Mechanisms and Signaling (6 papers), Pain Mechanisms and Treatments (6 papers), Chemical Synthesis and Reactions (6 papers), Synthesis and Catalytic Reactions (4 papers) and Asymmetric Hydrogenation and Catalysis (3 papers). The work is most often cited by research in Toxicology (30 citations), Cellular and Molecular Neuroscience (118 citations), Organic Chemistry (154 citations), Process Chemistry and Technology (14 citations) and Inorganic Chemistry (49 citations). Milovan Ivanović has collaborated with scholars based in Serbia, Myanmar and China. Frequent co-authors include Ljiljana Dos̆en‐Mićović, Sonja Vučković, David M. Piatak, Milica Prostran, Zoran Todorović, Jelena Popović‐Djordjević, Ivana Jevtić, Goran Roglić, Željko Miković and Nevena Divac. Their work appears in journals such as Synthesis, Journal of the Chemical Society Perkin Transactions 1, Tetrahedron Letters, Journal of Enzyme Inhibition and Medicinal Chemistry and Journal of Molecular Modeling.
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.