Fatma Sezer Şenol

135 total papers · 3.3k total citations
113 papers, 2.7k citations indexed

About

Fatma Sezer Şenol is a scholar working on Pharmacology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Fatma Sezer Şenol has authored 113 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pharmacology, 32 papers in Plant Science and 30 papers in Computational Theory and Mathematics. Recurrent topics in Fatma Sezer Şenol's work include Cholinesterase and Neurodegenerative Diseases (53 papers), Computational Drug Discovery Methods (30 papers) and Phytochemicals and Antioxidant Activities (29 papers). Fatma Sezer Şenol is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (53 papers), Computational Drug Discovery Methods (30 papers) and Phytochemicals and Antioxidant Activities (29 papers). Fatma Sezer Şenol collaborates with scholars based in Türkiye, Cyprus and Poland. Fatma Sezer Şenol's co-authors include İlkay Erdoğan Orhan, Bilge Şener, Murat Kartal, Ali Rifat Gülpınar, Gülderen Yılmaz, Mahmud Tareq Hassan Khan, Nazım Şekeroğlu, Karel Šmejkal, Margita Dvorská and Ahmet Kahraman and has published in prestigious journals such as Scientific Reports, Food Chemistry and The FASEB Journal.

In The Last Decade

Fatma Sezer Şenol

108 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fatma Sezer Şenol 902 801 752 704 701 113 2.7k
Mahnaz Khanavi 1.6k 1.7× 1.2k 1.5× 839 1.1× 322 0.5× 594 0.8× 177 3.4k
Mahmud Tareq Hassan Khan 721 0.8× 413 0.5× 1.0k 1.4× 701 1.0× 521 0.7× 72 3.6k
Azzurra Stefanucci 834 0.9× 636 0.8× 1.4k 1.9× 703 1.0× 477 0.7× 148 3.4k
Cristina Quispe 806 0.9× 651 0.8× 1.1k 1.4× 487 0.7× 370 0.5× 85 3.2k
Ercan Bursal 1.2k 1.3× 1.0k 1.3× 1.1k 1.4× 1.3k 1.9× 693 1.0× 77 3.9k
Mohamed L. Ashour 1.2k 1.3× 945 1.2× 1.3k 1.7× 469 0.7× 538 0.8× 127 3.4k
Jie Xing 879 1.0× 478 0.6× 1.5k 2.0× 604 0.9× 603 0.9× 147 3.8k
Sajjad Ahmad 650 0.7× 453 0.6× 514 0.7× 289 0.4× 508 0.7× 62 2.0k
Murat Kartal 1.7k 1.9× 1.5k 1.9× 1.4k 1.8× 864 1.2× 810 1.2× 145 4.5k
Karel Šmejkal 1.0k 1.1× 454 0.6× 1.9k 2.5× 647 0.9× 727 1.0× 125 3.9k

Countries citing papers authored by Fatma Sezer Şenol

Since Specialization
Citations

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

Fields of papers citing papers by Fatma Sezer Şenol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatma Sezer Şenol. 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 Fatma Sezer Şenol. The network helps show where Fatma Sezer Şenol may publish in the future.

Co-authorship network of co-authors of Fatma Sezer Şenol

This figure shows the co-authorship network connecting the top 25 collaborators of Fatma Sezer Şenol. A scholar is included among the top collaborators of Fatma Sezer Şenol based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fatma Sezer Şenol. Fatma Sezer Şenol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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