Esmehan Uçar

603 total citations
14 papers, 499 citations indexed

About

Esmehan Uçar is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Esmehan Uçar has authored 14 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Immunology. Recurrent topics in Esmehan Uçar's work include Fractional Differential Equations Solutions (12 papers), Mathematical Biology Tumor Growth (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). Esmehan Uçar is often cited by papers focused on Fractional Differential Equations Solutions (12 papers), Mathematical Biology Tumor Growth (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). Esmehan Uçar collaborates with scholars based in Türkiye, Saudi Arabia and Morocco. Esmehan Uçar's co-authors include Necati Özdemir, Sümeyra Uçar, Zakia Hammouch, Eren Altun, Fırat Evirgen, Thabet Abdeljawad, Derya Avcı and Feyzı Başar and has published in prestigious journals such as Chaos Solitons & Fractals, Journal of Computational and Applied Mathematics and Fractals.

In The Last Decade

Esmehan Uçar

13 papers receiving 479 citations

Peers

Esmehan Uçar
Esmehan Uçar
Citations per year, relative to Esmehan Uçar Esmehan Uçar (= 1×) peers Sümeyra Uçar

Countries citing papers authored by Esmehan Uçar

Since Specialization
Citations

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

Fields of papers citing papers by Esmehan Uçar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esmehan Uçar. 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 Esmehan Uçar. The network helps show where Esmehan Uçar may publish in the future.

Co-authorship network of co-authors of Esmehan Uçar

This figure shows the co-authorship network connecting the top 25 collaborators of Esmehan Uçar. A scholar is included among the top collaborators of Esmehan Uçar 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 Esmehan Uçar. Esmehan Uçar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Uçar, Esmehan. (2025). Tuberculosis disease dynamics with fractal-fractional derivative under the use of real data. Journal of Computational and Applied Mathematics. 473. 116889–116889.
2.
Evirgen, Fırat, Esmehan Uçar, Sümeyra Uçar, & Necati Özdemir. (2023). Modelling Influenza A disease dynamics under Caputo-Fabrizio fractional derivative with distinct contact rates. DergiPark (Istanbul University). 3(1). 58–73. 36 indexed citations
3.
Uçar, Esmehan & Necati Özdemir. (2023). New Fractional Cancer Mathematical Model via IL-10 Cytokine and Anti-PD-L1 Inhibitor. Fractal and Fractional. 7(2). 151–151. 16 indexed citations
4.
Evirgen, Fırat, Esmehan Uçar, Necati Özdemir, Eren Altun, & Thabet Abdeljawad. (2023). THE IMPACT OF NONSINGULAR MEMORY ON THE MATHEMATICAL MODEL OF HEPATITIS C VIRUS. Fractals. 31(4). 13 indexed citations
5.
Uçar, Esmehan. (2022). Examining of a tumor system with Caputo derivative. Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 25(1). 37–48. 4 indexed citations
6.
Uçar, Esmehan, Necati Özdemir, & Eren Altun. (2022). Qualitative analysis and numerical simulations of new model describing cancer. Journal of Computational and Applied Mathematics. 422. 114899–114899. 25 indexed citations
7.
Özdemir, Necati, Esmehan Uçar, & Derya Avcı. (2022). DYNAMIC ANALYSIS OF A FRACTIONAL SVIR SYSTEM MODELING AN INFECTIOUS DISEASE. Facta Universitatis Series Mathematics and Informatics. 605–605. 7 indexed citations
8.
Uçar, Esmehan, Sümeyra Uçar, Fırat Evirgen, & Necati Özdemir. (2021). A Fractional SAIDR Model in the Frame of Atangana–Baleanu Derivative. Fractal and Fractional. 5(2). 32–32. 32 indexed citations
9.
Uçar, Esmehan & Necati Özdemir. (2021). A fractional model of cancer-immune system with Caputo and Caputo–Fabrizio derivatives. The European Physical Journal Plus. 136(1). 43–43. 57 indexed citations
10.
Uçar, Esmehan, Sümeyra Uçar, Fırat Evirgen, & Necati Özdemir. (2021). Investigation of E-Cigarette Smoking Model with Mittag-Leffler Kernel. Foundations of Computing and Decision Sciences. 46(1). 97–109. 22 indexed citations
11.
Özdemir, Necati & Esmehan Uçar. (2020). Investigating of an immune system-cancer mathematical model with Mittag-Leffler kernel. AIMS Mathematics. 5(2). 1519–1531. 38 indexed citations
12.
Uçar, Esmehan, Necati Özdemir, & Eren Altun. (2019). Fractional order model of immune cells influenced by cancer cells. Mathematical Modelling of Natural Phenomena. 14(3). 308–308. 83 indexed citations
13.
Uçar, Sümeyra, Esmehan Uçar, Necati Özdemir, & Zakia Hammouch. (2018). Mathematical analysis and numerical simulation for a smoking model with Atangana–Baleanu derivative. Chaos Solitons & Fractals. 118. 300–306. 164 indexed citations
14.
Uçar, Esmehan & Feyzı Başar. (2014). Some geometric properties of the domain of the double band matrix defined by Fibonacci numbers in the sequence space ℓ(p). AIP conference proceedings. 316–324. 2 indexed citations

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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