İpek Baysal
Impact in
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
- Organic Chemistry top 10%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Click Chemistry and Applications
Papers in
-
- Synthesis and Biological Evaluation 6
- Synthesis and biological activity 5
-
- Cholinesterase and Neurodegenerative Diseases 9
- Co-authors
- Gülberk Uçar (21 shared papers)Bijo Mathew (7 shared papers)Samiye Yabanoğlu‐Çiftçi (19 shared papers)Venkatesan Jayaprakash (7 shared papers)Githa Elizabeth Mathew (5 shared papers)Kezban Ulubayram (6 shared papers)Merve Gültekinoğlu (3 shared papers)Monu Joy (2 shared papers)
In The Last Decade
İpek Baysal
40 papers receiving 818 citations
Peers
Comparison fields: 5 of 86
- Pharmacology 312
- Organic Chemistry 321
- Biological Psychiatry 22
- Pharmaceutical Science 45
- Computational Theory and Mathematics 107
Countries citing papers authored by İpek Baysal
This map shows the geographic impact of İpek Baysal'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 İpek Baysal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites İpek Baysal more than expected).
Fields of papers citing papers by İpek Baysal
This network shows the impact of papers produced by İpek Baysal. 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 İpek Baysal. The network helps show where İpek Baysal may publish in the future.
Co-authors
The 25 scholars most cited alongside İpek Baysal, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 80 | |
| 2 | 2016 | 78 | |
| 3 | 2015 | 78 | |
| 4 | 2016 | 76 | |
| 5 | 2016 | 64 | |
| 6 | 2015 | 53 | |
| 7 | 2015 | 43 | |
| 8 | 2016 | 41 | |
| 9 | 2015 | 29 | |
| 10 | 2017 | 26 | |
| 11 | 2015 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2021 | 21 | |
| 14 | 2013 | 18 | |
| 15 | 2012 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2022 | 15 | |
| 18 | 2022 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2021 | 13 |
About İpek Baysal
İpek Baysal is a scholar working on Organic Chemistry, Pharmacology, Pathology and Forensic Medicine, Molecular Biology and Surgery, having authored 45 papers that have together received 829 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (9 papers), Parasitic infections in humans and animals (7 papers), Parasitic Infections and Diagnostics (6 papers), Synthesis and Biological Evaluation (6 papers), Synthesis and biological activity (5 papers), Congenital Anomalies and Fetal Surgery (5 papers), Alzheimer's disease research and treatments (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Pharmacology (312 citations), Organic Chemistry (321 citations), Biological Psychiatry (22 citations), Pharmaceutical Science (45 citations) and Computational Theory and Mathematics (107 citations). İpek Baysal has collaborated with scholars based in Türkiye, India and Norway. Frequent co-authors include Gülberk Uçar, Bijo Mathew, Samiye Yabanoğlu‐Çiftçi, Venkatesan Jayaprakash, Githa Elizabeth Mathew, Kezban Ulubayram, Merve Gültekinoğlu, Monu Joy, Jerad Suresh and Barij Nayan Sinha. Their work appears in journals such as Archiv der Pharmazie, Journal of Neural Transmission, Molecules, AAPS PharmSciTech and International Journal of Biological Macromolecules.
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.