Ekin Sehit

789 total citations · 1 hit paper
9 papers, 598 citations indexed

About

Ekin Sehit is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Ekin Sehit has authored 9 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Ekin Sehit's work include Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Analytical chemistry methods development (3 papers). Ekin Sehit is often cited by papers focused on Biosensors and Analytical Detection (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Analytical chemistry methods development (3 papers). Ekin Sehit collaborates with scholars based in Germany, Ireland and Egypt. Ekin Sehit's co-authors include Zeynep Altıntaş, Muqsit Pirzada, Marga C. Lensen, Serkan Ünal, Fevzi Çakmak Cebeci, Hayriye Ünal, Yusuf́ Z. Menceloǵlu, Cüneyt Erdinç Taş, Mohga S. Abdalla and Mohamed M. Omran and has published in prestigious journals such as Biosensors and Bioelectronics, TrAC Trends in Analytical Chemistry and Talanta.

In The Last Decade

Ekin Sehit

9 papers receiving 593 citations

Hit Papers

Significance of nanomaterials in electrochemical glucose ... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ekin Sehit Germany 7 361 199 163 149 143 9 598
Xiaojing Si China 13 388 1.1× 162 0.8× 79 0.5× 139 0.9× 222 1.6× 29 578
Gözde Aydoğdu Tığ Türkiye 17 515 1.4× 343 1.7× 169 1.0× 181 1.2× 314 2.2× 39 791
Peter M. Ndangili South Africa 12 355 1.0× 191 1.0× 269 1.7× 289 1.9× 145 1.0× 21 751
Shahriar Jahanbani Iran 14 301 0.8× 271 1.4× 185 1.1× 77 0.5× 196 1.4× 19 546
Renata Kelly Mendes Brazil 14 403 1.1× 318 1.6× 232 1.4× 99 0.7× 242 1.7× 31 802
Ling Shi China 11 352 1.0× 140 0.7× 124 0.8× 150 1.0× 169 1.2× 40 571
Amir Homayoun Keihan Iran 17 278 0.8× 218 1.1× 177 1.1× 68 0.5× 134 0.9× 37 704
Fábio Ruiz Simões Brazil 13 326 0.9× 87 0.4× 153 0.9× 208 1.4× 179 1.3× 43 573
Daniel Rojas Spain 16 326 0.9× 165 0.8× 340 2.1× 82 0.6× 150 1.0× 32 758
Nagappa L. Teradal India 16 264 0.7× 148 0.7× 193 1.2× 47 0.3× 123 0.9× 30 621

Countries citing papers authored by Ekin Sehit

Since Specialization
Citations

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

Fields of papers citing papers by Ekin Sehit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekin Sehit

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

All Works

9 of 9 papers shown
1.
Sehit, Ekin, et al.. (2024). Synthesis and characterization of core–shell magnetic molecularly imprinted polymer nanocomposites for the detection of interleukin-6. Analytical and Bioanalytical Chemistry. 416(28). 6237–6257. 8 indexed citations
2.
Sehit, Ekin, Guiyang Yao, Jakob Trimpert, et al.. (2024). Computationally Designed Epitope-Mediated Imprinted Polymers versus Conventional Epitope Imprints for the Detection of Human Adenovirus in Water and Human Serum Samples. ACS Sensors. 9(4). 1831–1841. 13 indexed citations
4.
Barhoum, Ahmed, Ekin Sehit, Mohamed M. Omran, et al.. (2022). Current trends in COVID-19 diagnosis and its new variants in physiological fluids: Surface antigens, antibodies, nucleic acids, and RNA sequencing. TrAC Trends in Analytical Chemistry. 157. 116750–116750. 24 indexed citations
5.
6.
Sehit, Ekin, et al.. (2020). Ultrasensitive nonenzymatic electrochemical glucose sensor based on gold nanoparticles and molecularly imprinted polymers. Biosensors and Bioelectronics. 165. 112432–112432. 112 indexed citations
7.
Pirzada, Muqsit, Ekin Sehit, & Zeynep Altıntaş. (2020). Cancer biomarker detection in human serum samples using nanoparticle decorated epitope-mediated hybrid MIP. Biosensors and Bioelectronics. 166. 112464–112464. 59 indexed citations
8.
Sehit, Ekin & Zeynep Altıntaş. (2020). Significance of nanomaterials in electrochemical glucose sensors: An updated review (2016-2020). Biosensors and Bioelectronics. 159. 112165–112165. 309 indexed citations breakdown →
9.
Sehit, Ekin, Cüneyt Erdinç Taş, Serkan Ünal, et al.. (2019). Carvacrol loaded halloysite coatings for antimicrobial food packaging applications. Food Packaging and Shelf Life. 20. 100300–100300. 68 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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