Cem Erkmen

1.1k total citations
55 papers, 700 citations indexed

About

Cem Erkmen is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, Cem Erkmen has authored 55 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 23 papers in Electrical and Electronic Engineering and 18 papers in Electrochemistry. Recurrent topics in Cem Erkmen's work include Electrochemical sensors and biosensors (23 papers), Electrochemical Analysis and Applications (18 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Cem Erkmen is often cited by papers focused on Electrochemical sensors and biosensors (23 papers), Electrochemical Analysis and Applications (18 papers) and Advanced biosensing and bioanalysis techniques (14 papers). Cem Erkmen collaborates with scholars based in Türkiye, Malaysia and Pakistan. Cem Erkmen's co-authors include Bengi Uslu, Sevinç Kurbanoğlu, Afzal Shah, Gözde Aydoğdu Tığ, Muhammad Siddiq, Ersin Demır, Hülya Silah, Md. Zahirul Kabır, Burcin Bozal‐Palabiyik and Sercan Yıldırım and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of The Electrochemical Society and Sensors and Actuators B Chemical.

In The Last Decade

Cem Erkmen

50 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cem Erkmen Türkiye 14 309 269 177 166 153 55 700
Stella Girousi Greece 17 299 1.0× 376 1.4× 341 1.9× 152 0.9× 92 0.6× 73 814
Changling Yan China 16 317 1.0× 113 0.4× 99 0.6× 132 0.8× 128 0.8× 32 683
Hilal Medetalibeyoğlu Türkiye 15 386 1.2× 345 1.3× 173 1.0× 213 1.3× 82 0.5× 33 870
Göksu Ozcelikay Türkiye 19 453 1.5× 465 1.7× 289 1.6× 321 1.9× 235 1.5× 42 1.0k
Xiaoqiang Wang China 17 252 0.8× 412 1.5× 250 1.4× 122 0.7× 72 0.5× 30 670
Zhenghua Song China 15 275 0.9× 138 0.5× 77 0.4× 155 0.9× 126 0.8× 40 576
Nafiseh Shams Iran 11 257 0.8× 312 1.2× 205 1.2× 91 0.5× 48 0.3× 16 603
Murat Beytur Türkiye 14 212 0.7× 236 0.9× 134 0.8× 98 0.6× 68 0.4× 35 642
Baoxian Ye China 16 299 1.0× 135 0.5× 79 0.4× 157 0.9× 61 0.4× 40 658
David Jirovský Czechia 15 131 0.4× 145 0.5× 136 0.8× 102 0.6× 75 0.5× 31 645

Countries citing papers authored by Cem Erkmen

Since Specialization
Citations

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

Fields of papers citing papers by Cem Erkmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cem Erkmen

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

All Works

20 of 20 papers shown
2.
Erkmen, Cem, Fazal Ur Rehman, & Saharuddin Bin Mohamad. (2025). Characterization of dovitinib–human serum albumin association potential through optical spectroscopic and in silico approaches. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 343. 126602–126602. 1 indexed citations
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Erkmen, Cem, et al.. (2024). Unraveling the interaction mechanism between orphan drug Nitisinone and bovine serum albumin through spectroscopic and in silico approaches. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 322. 124818–124818. 2 indexed citations
6.
Erkmen, Cem, et al.. (2024). Mesoporous silica-based electrochemical biosensors in the determination of cancer biomarkers: Current progress on analytical performance and future trends. TrAC Trends in Analytical Chemistry. 179. 117876–117876. 9 indexed citations
7.
Erkmen, Cem, et al.. (2023). Development of electrochemical and stability-indicating chromatographic methods for the determination of cefprozil. Journal of the Iranian Chemical Society. 21(1). 263–273.
8.
Erkmen, Cem & İsmail Çeli̇k. (2023). Interaction mechanism of a pesticide, Azoxystrobin with bovine serum albumin: Assessments through fluorescence, UV–Vis absorption, electrochemical and molecular docking simulation techniques. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 308. 123719–123719. 9 indexed citations
9.
Erkmen, Cem, Gözde Aydoğdu Tığ, & Bengi Uslu. (2023). Evaluation of aptamer and molecularly imprinted polymers as a first hybrid sensor for leptin detection at femtogram levels. Talanta. 265. 124809–124809. 11 indexed citations
11.
Erkmen, Cem & Bengi Uslu. (2023). GREEN PROCEDURE INDEX ASSESSMENT OF THE NOVEL STABILITY-INDICATING RP-HPLC METHOD FOR THE DETERMINATION OF CAPTOPRIL FROM PHARMACEUTICAL DOSAGE FORM. Ankara Universitesi Eczacilik Fakultesi Dergisi. 47(3). 19–19. 2 indexed citations
12.
Kabır, Md. Zahirul, Cem Erkmen, Sevinç Kurbanoğlu, Gözde Aydoğdu Tığ, & Bengi Uslu. (2023). Decoration of Bi2O3NPs-AgNPs-ErGO as a first electrochemical nanosensor for sensitive determination of nelarabine in pharmaceutical dosage form and human serum samples. Journal of Electroanalytical Chemistry. 944. 117651–117651. 10 indexed citations
13.
Kabır, Md. Zahirul, et al.. (2023). Spectroscopic, voltammetric and computational approaches shed light on the combination characteristics of an anticancer agent, bexarotene with human serum albumin. Journal of Photochemistry and Photobiology A Chemistry. 443. 114881–114881. 5 indexed citations
14.
Erkmen, Cem, et al.. (2022). Phosphodiesterase-3 Enzyme Inhibitor Drug Milrinone Interaction with DNA and HSA: Electrochemical, Spectroscopic and Molecular Docking. Journal of The Electrochemical Society. 169(2). 27521–27521. 6 indexed citations
15.
Erkmen, Cem, et al.. (2022). Layer-by-layer modification strategies for electrochemical detection of biomarkers. Biosensors and Bioelectronics X. 12. 100270–100270. 11 indexed citations
17.
Erkmen, Cem, Gözde Aydoğdu Tığ, & Bengi Uslu. (2022). Nanomaterial-based sandwich-type electrochemical aptasensor platform for sensitive voltammetric determination of leptin. Microchimica Acta. 189(10). 396–396. 8 indexed citations
18.
Erkmen, Cem, Burcin Bozal‐Palabiyik, Muhammad Siddiq, et al.. (2022). Development of the electrochemical, spectroscopic and molecular docking approaches toward the investigation of interaction between DNA and anti-leukemic drug azacytidine. Bioelectrochemistry. 146. 108135–108135. 21 indexed citations
19.
Kaya, S. Irem, Sercan Yıldırım, Ahmet Çetinkaya, et al.. (2021). Nanomaterial-based electroanalytical sensors for the selected prohibited anabolic agents, hormones and metabolic modulators and their sensitive assays. TrAC Trends in Analytical Chemistry. 145. 116457–116457. 10 indexed citations
20.
Yıldırım, Sercan, Cem Erkmen, & Bengi Uslu. (2020). Novel Trends in Analytical Methods for β-Blockers: An Overview of Applications in the Last Decade. Critical Reviews in Analytical Chemistry. 52(1). 131–169. 17 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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