Fatma Uysal Ciloglu

421 total citations
9 papers, 322 citations indexed

About

Fatma Uysal Ciloglu is a scholar working on Biophysics, Biomedical Engineering and Clinical Biochemistry. According to data from OpenAlex, Fatma Uysal Ciloglu has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biophysics, 5 papers in Biomedical Engineering and 4 papers in Clinical Biochemistry. Recurrent topics in Fatma Uysal Ciloglu's work include Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Biosensors and Analytical Detection (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Fatma Uysal Ciloglu is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Biosensors and Analytical Detection (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Fatma Uysal Ciloglu collaborates with scholars based in Türkiye and Ireland. Fatma Uysal Ciloglu's co-authors include Ömer Aydın, Mehmet Kahraman, Mahmut Tokmakçı, İbrahim Halil Kılıç, Abdullah Çalışkan, Aycan Gündoğdu, Emrah Şimşek, Ahmet Koluman, Aytaç Akçay and Fatih Doğan Koca and has published in prestigious journals such as Scientific Reports, Analytica Chimica Acta and Meat Science.

In The Last Decade

Fatma Uysal Ciloglu

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fatma Uysal Ciloglu Türkiye	8	203	172	90	80	77	9	322
Shamsheer Ahmad Pakistan	12	279 1.4×	137 0.8×	95 1.1×	166 2.1×	108 1.4×	12	412
Johanna Kirchhoff Germany	6	256 1.3×	171 1.0×	47 0.5×	111 1.4×	87 1.1×	8	390
Fatima Batool Pakistan	9	212 1.0×	114 0.7×	63 0.7×	126 1.6×	88 1.1×	15	304
Saqib Ali Pakistan	12	307 1.5×	143 0.8×	93 1.0×	185 2.3×	125 1.6×	27	457
Saba Bashir Pakistan	12	295 1.5×	143 0.8×	85 0.9×	179 2.2×	108 1.4×	18	400
Jia-Wei Tang China	7	122 0.6×	99 0.6×	38 0.4×	54 0.7×	70 0.9×	8	257
Lena Blackmon United States	3	387 1.9×	260 1.5×	67 0.7×	220 2.8×	129 1.7×	4	608
U. Gläser Germany	9	220 1.1×	178 1.0×	30 0.3×	83 1.0×	54 0.7×	23	431
Héctor Enrique Giana Brazil	7	186 0.9×	103 0.6×	29 0.3×	119 1.5×	89 1.2×	8	327
Sandra Kloß Germany	8	261 1.3×	133 0.8×	22 0.2×	142 1.8×	73 0.9×	12	343

Countries citing papers authored by Fatma Uysal Ciloglu

Since Specialization

Citations

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

Fields of papers citing papers by Fatma Uysal Ciloglu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatma Uysal Ciloglu

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

All Works

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9 of 9 papers shown

Ciloglu, Fatma Uysal, et al.. (2024). Staphylococcus Aureus-Related antibiotic resistance detection using synergy of Surface-Enhanced Raman spectroscopy and deep learning. Biomedical Signal Processing and Control. 91. 105933–105933. 13 indexed citations

Ciloglu, Fatma Uysal & Fatih Doğan Koca. (2024). One-Step Green Synthesis of Silver Nanoparticles for Enhanced SERS Activity. 1–4. 1 indexed citations

Ciloglu, Fatma Uysal, et al.. (2023). Machine learning models for prediction of Escherichia coli O157:H7 growth in raw ground beef at different storage temperatures. Meat Science. 210. 109421–109421. 10 indexed citations

Ciloglu, Fatma Uysal, et al.. (2022). SERS-based sensor with a machine learning based effective feature extraction technique for fast detection of colistin-resistant Klebsiella pneumoniae. Analytica Chimica Acta. 1221. 340094–340094. 39 indexed citations

Ciloglu, Fatma Uysal, et al.. (2022). Investigation of mammalian cells expressing SARS-CoV-2 proteins by surface-enhanced Raman scattering and multivariate analysis. The Analyst. 147(6). 1213–1221. 12 indexed citations

Ciloglu, Fatma Uysal, et al.. (2022). Highly Accurate Identification of Bacteria’s Antibiotic Resistance Based on Raman Spectroscopy and U-Net Deep Learning Algorithms. ACS Omega. 7(33). 29443–29451. 28 indexed citations

Ciloglu, Fatma Uysal, et al.. (2021). Discrimination of waterborne pathogens, Cryptosporidium parvum oocysts and bacteria using surface-enhanced Raman spectroscopy coupled with principal component analysis and hierarchical clustering. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 267(Pt 1). 120475–120475. 21 indexed citations

Ciloglu, Fatma Uysal, Abdullah Çalışkan, İbrahim Halil Kılıç, et al.. (2021). Drug-resistant Staphylococcus aureus bacteria detection by combining surface-enhanced Raman spectroscopy (SERS) and deep learning techniques. Scientific Reports. 11(1). 18444–18444. 99 indexed citations

Ciloglu, Fatma Uysal, et al.. (2020). Identification of methicillin-resistant Staphylococcus aureus bacteria using surface-enhanced Raman spectroscopy and machine learning techniques. The Analyst. 145(23). 7559–7570. 99 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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