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 15
- Cholinesterase and Neurodegenerative Diseases 15
- Co-authors
- Janko Kos (41 shared papers)Stanislav Gobec (19 shared papers)Damijan Knez (17 shared papers)Boris Brus (5 shared papers)Nicolas Coquelle (4 shared papers)Jacques‐Philippe Colletier (4 shared papers)Urban Košak (6 shared papers)Tanja Jakoš (8 shared papers)
In The Last Decade
Anja Pišlar
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Pharmacology 673
- Computational Theory and Mathematics 480
- Complementary and alternative medicine 143
- Organic Chemistry 412
- Cancer Research 213
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 243 | |
| 2 | 2017 | 131 | |
| 3 | 2019 | 90 | |
| 4 | 2018 | 79 | |
| 5 | 2020 | 78 | |
| 6 | 2019 | 78 | |
| 7 | 2013 | 68 | |
| 8 | 2015 | 63 | |
| 9 | 2016 | 56 | |
| 10 | 2018 | 49 | |
| 11 | 2015 | 45 | |
| 12 | 2014 | 43 | |
| 13 | 2020 | 43 | |
| 14 | 2022 | 41 | |
| 15 | 2018 | 38 | |
| 16 | 2020 | 38 | |
| 17 | 2013 | 37 | |
| 18 | 2020 | 31 | |
| 19 | 2016 | 29 | |
| 20 | 2017 | 28 |
About Anja Pišlar
Anja Pišlar is a scholar working on Molecular Biology, Pharmacology, Computational Theory and Mathematics, Physiology and Cancer Research, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (15 papers), Computational Drug Discovery Methods (12 papers), Alzheimer's disease research and treatments (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 (673 citations), Computational Theory and Mathematics (480 citations), Complementary and alternative medicine (143 citations), Organic Chemistry (412 citations) and Cancer Research (213 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, Jure Stojan and Anahid Jewett. Their work appears in journals such as European Journal of Medicinal Chemistry, Journal of Medicinal Chemistry, Seminars in Cancer Biology, Bioorganic Chemistry and Cancer Immunology Immunotherapy.
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.