Murat Cirit

2.0k total citations
32 papers, 1.2k citations indexed

About

Murat Cirit is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Murat Cirit has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 14 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Murat Cirit's work include 3D Printing in Biomedical Research (14 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Pluripotent Stem Cells Research (4 papers). Murat Cirit is often cited by papers focused on 3D Printing in Biomedical Research (14 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers) and Pluripotent Stem Cells Research (4 papers). Murat Cirit collaborates with scholars based in United States, Sweden and India. Murat Cirit's co-authors include Cynthia L. Stokes, Jason M. Haugh, Linda G. Griffith, Chun‐Chao Wang, Nikolaos Tsamandouras, Collin Edington, David Hughes, Christian Maaß, Douglas A. Lauffenburger and Jiajie Yu and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Murat Cirit

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Murat Cirit United States 18 622 507 143 124 94 32 1.2k
Richard DeBiasio United States 8 446 0.7× 240 0.5× 70 0.5× 97 0.8× 38 0.4× 13 738
Parveen Sharma United Kingdom 25 327 0.5× 1.2k 2.3× 110 0.8× 160 1.3× 131 1.4× 53 1.7k
Gahl Levy Israel 9 352 0.6× 639 1.3× 66 0.5× 111 0.9× 50 0.5× 13 1.1k
Amy Pointon United Kingdom 15 382 0.6× 598 1.2× 85 0.6× 185 1.5× 20 0.2× 35 1.1k
Xiannian Zhang China 13 304 0.5× 973 1.9× 200 1.4× 24 0.2× 38 0.4× 20 1.5k
Weisheng Zhang China 18 173 0.3× 601 1.2× 242 1.7× 38 0.3× 53 0.6× 40 1.1k
Delilah Hendriks Netherlands 19 746 1.2× 693 1.4× 418 2.9× 55 0.4× 81 0.9× 28 2.1k
J. Dinesh Kumar United Kingdom 14 101 0.2× 456 0.9× 194 1.4× 61 0.5× 64 0.7× 21 921
Edita Aksamitiene United States 13 89 0.1× 788 1.6× 213 1.5× 47 0.4× 98 1.0× 36 1.2k
Lili Wang China 20 86 0.1× 402 0.8× 514 3.6× 52 0.4× 55 0.6× 77 1.2k

Countries citing papers authored by Murat Cirit

Since Specialization
Citations

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

Fields of papers citing papers by Murat Cirit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Murat Cirit

This figure shows the co-authorship network connecting the top 25 collaborators of Murat Cirit. A scholar is included among the top collaborators of Murat Cirit 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 Murat Cirit. Murat Cirit 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.
Rajan, Shiny Amala Priya, Jason Sherfey, Lauren M. Nichols, et al.. (2023). A Novel Milli-fluidic Liver Tissue Chip with Continuous Recirculation for Predictive Pharmacokinetics Applications. The AAPS Journal. 25(6). 102–102. 17 indexed citations
2.
Dwivedi, Garima, André Struglics, Eliot H. Frank, et al.. (2022). Inflammatory cytokines and mechanical injury induce post-traumatic osteoarthritis-like changes in a human cartilage-bone-synovium microphysiological system. Arthritis Research & Therapy. 24(1). 198–198. 26 indexed citations
3.
Dwivedi, Garima, E. Frank, Emily Geishecker, et al.. (2019). Human cartilage-bone-synovium microphysiological system to study ptoa pathogenesis and treatment on earth and in space. Osteoarthritis and Cartilage. 27. S167–S167. 4 indexed citations
4.
5.
Maaß, Christian, et al.. (2019). Translational Assessment of Drug‐Induced Proximal Tubule Injury Using a Kidney Microphysiological System. CPT Pharmacometrics & Systems Pharmacology. 8(5). 316–325. 49 indexed citations
6.
Cirit, Murat & Cynthia L. Stokes. (2018). Maximizing the impact of microphysiological systems with in vitro–in vivo translation. Lab on a Chip. 18(13). 1831–1837. 54 indexed citations
7.
Maaß, Christian, Matthew Dallas, Michael Shockley, et al.. (2018). Establishing quasi-steady state operations of microphysiological systems (MPS) using tissue-specific metabolic dependencies. Scientific Reports. 8(1). 8015–8015. 20 indexed citations
8.
Edington, Collin, Emily Suter, Jiajie Yu, et al.. (2017). Integrated gut/liver microphysiological systems elucidates inflammatory inter‐tissue crosstalk. Biotechnology and Bioengineering. 114(11). 2648–2659. 134 indexed citations
9.
Tsamandouras, Nikolaos, et al.. (2017). Integrated Gut and Liver Microphysiological Systems for Quantitative In Vitro Pharmacokinetic Studies. The AAPS Journal. 19(5). 1499–1512. 170 indexed citations
10.
Sarkar, Ujjal, Kodihalli C. Ravindra, Emma M. Large, et al.. (2017). Integrated Assessment of Diclofenac Biotransformation, Pharmacokinetics, and Omics-Based Toxicity in a Three-Dimensional Human Liver-Immunocompetent Coculture System. Drug Metabolism and Disposition. 45(7). 855–866. 57 indexed citations
11.
Lauffenburger, Douglas A., et al.. (2015). Physiome-on-a-Chip: The Challenge of “Scaling” in Design, Operation, and Translation of Microphysiological Systems. Nature. 12 indexed citations
12.
Yu, Jiajie, et al.. (2015). Quantitative Systems Pharmacology Approaches Applied to Microphysiological Systems (MPS): Data Interpretation and Multi‐MPS Integration. CPT Pharmacometrics & Systems Pharmacology. 4(10). 585–594. 43 indexed citations
13.
Ahmed, Shoeb, et al.. (2014). Data‐driven modeling reconciles kinetics of ERK phosphorylation, localization, and activity states. Molecular Systems Biology. 10(1). 718–718. 45 indexed citations
14.
Cirit, Murat, et al.. (2012). Systemic Perturbation of the ERK Signaling Pathway by the Proteasome Inhibitor, MG132. PLoS ONE. 7(11). e50975–e50975. 16 indexed citations
15.
Cirit, Murat & Jason M. Haugh. (2011). Quantitative models of signal transduction networks. Communicative & Integrative Biology. 4(3). 353–356. 6 indexed citations
16.
Cirit, Murat, Matej Krajcovic, Colin K. Choi, et al.. (2010). Stochastic Model of Integrin-Mediated Signaling and Adhesion Dynamics at the Leading Edges of Migrating Cells. PLoS Computational Biology. 6(2). e1000688–e1000688. 45 indexed citations
17.
Buhrman, Greg, V.S.S. Kumar, Murat Cirit, Jason M. Haugh, & Carla Mattos. (2010). Allosteric Modulation of Ras-GTP Is Linked to Signal Transduction through RAF Kinase. Journal of Biological Chemistry. 286(5). 3323–3331. 71 indexed citations
18.
Cirit, Murat, Chun‐Chao Wang, & Jason M. Haugh. (2010). Systematic Quantification of Negative Feedback Mechanisms in the Extracellular Signal-regulated Kinase (ERK) Signaling Network. Journal of Biological Chemistry. 285(47). 36736–36744. 68 indexed citations
19.
Ünlü, Mehmet, et al.. (2002). Afyon'da lise öğretmenlerinin sigara içme alışkanlığı ve sigaraya karşı tutumları. 13(3). 203–207.
20.
Göksel, Tuncay, et al.. (2001). İzmir ili lise öğrencilerinin sigara alışkanlığını etkileyen faktörler. 2(3). 49–53. 4 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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