Umut A. Gürkan

7.4k total citations · 1 hit paper
162 papers, 5.5k citations indexed

About

Umut A. Gürkan is a scholar working on Biomedical Engineering, Genetics and Physiology. According to data from OpenAlex, Umut A. Gürkan has authored 162 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Biomedical Engineering, 59 papers in Genetics and 49 papers in Physiology. Recurrent topics in Umut A. Gürkan's work include Hemoglobinopathies and Related Disorders (55 papers), Erythrocyte Function and Pathophysiology (47 papers) and 3D Printing in Biomedical Research (27 papers). Umut A. Gürkan is often cited by papers focused on Hemoglobinopathies and Related Disorders (55 papers), Erythrocyte Function and Pathophysiology (47 papers) and 3D Printing in Biomedical Research (27 papers). Umut A. Gürkan collaborates with scholars based in United States, Türkiye and Italy. Umut A. Gürkan's co-authors include Utkan Demirci, Yunus Alapan, Ozan Akkuş, Jane A. Little, Giuseppe Strangi, Mohamed ElKabbash, Kandammathe Valiyaveedu Sreekanth, Savaş Taşoğlu, Feng Xu and Michael Hinczewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Advanced Materials.

In The Last Decade

Umut A. Gürkan

157 papers receiving 5.4k citations

Hit Papers

Extreme sensitivity biose... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Umut A. Gürkan 3.2k 949 646 621 616 162 5.5k
Zi Chen 2.6k 0.8× 1.4k 1.5× 208 0.3× 387 0.6× 196 0.3× 256 6.5k
Michael Cho 1.3k 0.4× 2.3k 2.5× 157 0.2× 453 0.7× 850 1.4× 310 7.6k
Weiqiang Chen 3.1k 1.0× 1.5k 1.6× 282 0.4× 174 0.3× 263 0.4× 195 6.7k
Robert J. Christy 986 0.3× 2.6k 2.8× 341 0.5× 428 0.7× 881 1.4× 126 7.4k
Masahiro Yamada 3.1k 1.0× 1.7k 1.8× 528 0.8× 168 0.3× 279 0.5× 369 10.2k
Christoph Alexiou 4.6k 1.5× 1.6k 1.7× 394 0.6× 200 0.3× 232 0.4× 256 9.0k
Yunus Alapan 2.5k 0.8× 306 0.3× 624 1.0× 171 0.3× 241 0.4× 51 3.8k
Masato Sato 1.2k 0.4× 661 0.7× 162 0.3× 648 1.0× 120 0.2× 333 6.6k
Sung‐Jan Lin 1.7k 0.5× 986 1.0× 370 0.6× 137 0.2× 275 0.4× 167 16.6k
Xiaoming He 3.4k 1.1× 2.9k 3.0× 96 0.1× 191 0.3× 291 0.5× 207 9.0k

Countries citing papers authored by Umut A. Gürkan

Since Specialization
Citations

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

Fields of papers citing papers by Umut A. Gürkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Umut A. Gürkan. 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 Umut A. Gürkan. The network helps show where Umut A. Gürkan may publish in the future.

Co-authorship network of co-authors of Umut A. Gürkan

This figure shows the co-authorship network connecting the top 25 collaborators of Umut A. Gürkan. A scholar is included among the top collaborators of Umut A. Gürkan 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 Umut A. Gürkan. Umut A. Gürkan 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
1.
Wade, Jon, Erica N Evans, Michael A. Suster, et al.. (2025). Use of the microfluidic impedance red cell assay in sickle cell disease. Blood Advances. 9(15). 4004–4015.
2.
An, Ran, et al.. (2024). Point-of-Care Diagnostic Test for Beta-Thalassemia. Biosensors. 14(2). 83–83. 5 indexed citations
3.
Bode, Allison, Cissy Kityo, Vivien Sheehan, et al.. (2024). A miniaturized wash-free microfluidic assay for electrical impedance-based assessment of red blood cell-mediated microvascular occlusion. Biosensors and Bioelectronics. 258. 116352–116352. 2 indexed citations
4.
An, Ran, Yuncheng Man, Allison Bode, et al.. (2024). Rapid measurement of hemoglobin-oxygen dissociation by leveraging Bohr effect and Soret band bathochromic shift. The Analyst. 149(9). 2561–2572. 3 indexed citations
5.
D’Alessandro, Angelo, David H. McKenna, Shannon N. Tessier, et al.. (2024). Reply to Kaestner et al.: Pioneering quantitative platforms for stored red blood cell assessment open the door for precision transfusion medicine. Proceedings of the National Academy of Sciences. 121(11). e2320521121–e2320521121. 2 indexed citations
6.
Wulftange, William J., et al.. (2024). Motion blur microscopy: in vitro imaging of cell adhesion dynamics in whole blood flow. Nature Communications. 15(1). 7058–7058. 2 indexed citations
7.
Kucukal, Erdem, Fang Wang, Ran An, et al.. (2023). Membrane bending and sphingomyelinase-associated, sulfatide-dependent hypoxic adhesion of sickle mature erythrocytes. Blood Advances. 7(10). 2094–2104. 6 indexed citations
8.
Man, Yuncheng, Ran An, Peiran Wei, et al.. (2023). Microfluidic concurrent assessment of red blood cell adhesion and microcapillary occlusion: potential hemorheological biomarkers in sickle cell disease. Sensors & Diagnostics. 2(2). 457–467. 1 indexed citations
9.
Fraiwan, Arwa, et al.. (2023). Novel RBC Adhesion and Deformability Assays Reveal Deleterious Effect of Diabetes on RBC Health. Blood. 142(Supplement 1). 1072–1072. 1 indexed citations
10.
Domínguez-Medina, Sergio, Yuncheng Man, Allison Bode, et al.. (2023). Catch bonds in sickle cell disease: Shear-enhanced adhesion of red blood cells to laminin. Biophysical Journal. 122(12). 2564–2576. 4 indexed citations
12.
An, Ran, Yuncheng Man, Tianyi Zhang, et al.. (2023). Sickle red blood cell‐derived extracellular vesicles activate endothelial cells and enhance sickle red cell adhesion mediated by von Willebrand factor. British Journal of Haematology. 201(3). 552–563. 17 indexed citations
13.
D’Alessandro, Angelo, Susan M. Wolf, David H. McKenna, et al.. (2023). Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine. Proceedings of the National Academy of Sciences. 120(32). e2115616120–e2115616120. 23 indexed citations
14.
Gürkan, Umut A., et al.. (2023). Thermoresponsive polymers with LCST transition: synthesis, characterization, and their impact on biomedical frontiers. RSC Applied Polymers. 1(2). 158–189. 62 indexed citations
15.
An, Ran, et al.. (2022). A Novel Approach for Glycosylated Hemoglobin Testing Using Microchip Affinity Electrophoresis. IEEE Transactions on Biomedical Engineering. 70(5). 1473–1480. 2 indexed citations
16.
Shkondin, Evgeniy, Osamu Takayama, Arwa Fraiwan, et al.. (2020). Hydrogen gas sensing using aluminum doped ZnO metasurfaces. Nanoscale Advances. 2(8). 3452–3459. 22 indexed citations
17.
ElKabbash, Mohamed, Kandammathe Valiyaveedu Sreekanth, Arwa Fraiwan, et al.. (2020). Ultrathin-film optical coating for angle-independent remote hydrogen sensing. Measurement Science and Technology. 31(11). 115201–115201. 6 indexed citations
18.
Hasan, Muhammad Noman, Arwa Fraiwan, Jane A. Little, & Umut A. Gürkan. (2017). Hemechip: An Automated Portable Microchip Electrophoresis Platform for Point-of-Care Sickle Cell Disease Screening. Blood. 130. 3519–3519. 7 indexed citations
19.
Gürkan, Umut A., et al.. (2010). The Sequential Production Profiles of Growth Factors and their Relations to Bone Volume in Ossifying Bone Marrow Explants. Tissue Engineering Part A. 16(7). 2295–2306. 26 indexed citations
20.
Gürkan, Umut A., et al.. (2010). Ossifying Bone Marrow Explant Culture as a Three-Dimensional Mechanoresponsive In Vitro Model of Osteogenesis. Tissue Engineering Part A. 17(3-4). 417–428. 16 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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