Anja Pišlar
Impact in
- Pharmacology top 1%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- S100 Proteins and Annexins 7
- Pharmacology 17
- Cholinesterase and Neurodegenerative Diseases 17
- Co-authors
- Janko Kos (41 shared papers)Stanislav Gobec (21 shared papers)Damijan Knez (19 shared papers)Boris Brus (5 shared papers)Nicolas Coquelle (4 shared papers)Jacques‐Philippe Colletier (4 shared papers)Urban Košak (7 shared papers)Tanja Jakoš (8 shared papers)
In The Last Decade
Anja Pišlar
48 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Pharmacology 683
- Computational Theory and Mathematics 480
- Complementary and alternative medicine 139
- Cancer Research 210
- Organic Chemistry 412
Countries citing papers authored by Anja Pišlar
This map shows the geographic impact of Anja Pišlar'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 Anja Pišlar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anja Pišlar more than expected).
Fields of papers citing papers by Anja Pišlar
This network shows the impact of papers produced by Anja Pišlar. 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 Anja Pišlar. The network helps show where Anja Pišlar may publish in the future.
Co-authors
The 25 scholars most cited alongside Anja Pišlar, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 249 | |
| 2 | 2017 | 135 | |
| 3 | 2019 | 93 | |
| 4 | 2018 | 81 | |
| 5 | 2020 | 81 | |
| 6 | 2019 | 80 | |
| 7 | 2013 | 69 | |
| 8 | 2015 | 63 | |
| 9 | 2016 | 58 | |
| 10 | 2018 | 50 | |
| 11 | 2020 | 47 | |
| 12 | 2022 | 47 | |
| 13 | 2015 | 46 | |
| 14 | 2014 | 43 | |
| 15 | 2018 | 41 | |
| 16 | 2020 | 40 | |
| 17 | 2013 | 38 | |
| 18 | 2020 | 33 | |
| 19 | 2016 | 30 | |
| 20 | 2017 | 27 |
About Anja Pišlar
Anja Pišlar is a scholar working on Molecular Biology, Pharmacology, Physiology, Computational Theory and Mathematics and Cancer Research, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (17 papers), Alzheimer's disease research and treatments (11 papers), Computational Drug Discovery Methods (11 papers), Protease and Inhibitor Mechanisms (10 papers), S100 Proteins and Annexins (7 papers), Cell Adhesion Molecules Research (6 papers), Peptidase Inhibition and Analysis (5 papers) and Medicinal Plants and Neuroprotection (5 papers). The work is most often cited by research in Pharmacology (683 citations), Computational Theory and Mathematics (480 citations), Complementary and alternative medicine (139 citations), Cancer Research (210 citations) and Organic Chemistry (412 citations). Anja Pišlar has collaborated with scholars based in Slovenia, France and Poland. Frequent co-authors include Janko Kos, Stanislav Gobec, Damijan Knez, Boris Brus, Nicolas Coquelle, Jacques‐Philippe Colletier, Urban Košak, Tanja Jakoš, Anahid Jewett and Jure Stojan. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Seminars in Cancer Biology, Bioorganic Chemistry and Chemico-Biological Interactions.
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.