Nihat Baysal

685 total citations
20 papers, 359 citations indexed

About

Nihat Baysal is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Nihat Baysal has authored 20 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in Nihat Baysal's work include Diabetes Management and Research (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (5 papers). Nihat Baysal is often cited by papers focused on Diabetes Management and Research (9 papers), Pancreatic function and diabetes (9 papers) and Diabetes and associated disorders (5 papers). Nihat Baysal collaborates with scholars based in United States, Türkiye and Australia. Nihat Baysal's co-authors include B. Wayne Bequette, Deniz Rende, Bruce A. Buckingham, Daniel P. Howsmon, Gregory P. Forlenza, Trang T. Ly, David M. Maahs, Faye Cameron, Rahmi Ozisik and Carol J. Levy and has published in prestigious journals such as PLoS ONE, Diabetes Care and Macromolecules.

In The Last Decade

Nihat Baysal

19 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nihat Baysal United States 10 215 172 130 40 38 20 359
Kristiina Kiviharju Finland 10 82 0.4× 59 0.3× 16 0.1× 55 1.4× 118 3.1× 18 412
Andreas Bosshart Switzerland 9 113 0.5× 37 0.2× 19 0.1× 19 0.5× 47 1.2× 13 281
M. Militaru Romania 7 63 0.3× 113 0.7× 56 0.4× 9 0.2× 74 1.9× 24 320
Hans Bertelsen Denmark 7 98 0.5× 29 0.2× 14 0.1× 72 1.8× 24 0.6× 9 362
Toshiba Haider India 7 19 0.1× 55 0.3× 70 0.5× 38 0.9× 58 1.5× 7 331
Eleonora M. Aiello United States 10 197 0.9× 120 0.7× 98 0.8× 1 0.0× 32 0.8× 22 278
Sam Talaei Iran 11 39 0.2× 17 0.1× 23 0.2× 17 0.4× 25 0.7× 13 326
Eleni Litsa United States 7 112 0.5× 51 0.3× 40 0.3× 1 0.0× 94 2.5× 8 331
Lei Kuang United Kingdom 11 117 0.5× 33 0.2× 40 0.3× 1 0.0× 56 1.5× 26 357
Y. Kuroda Japan 11 128 0.6× 9 0.1× 59 0.5× 19 0.5× 37 1.0× 28 495

Countries citing papers authored by Nihat Baysal

Since Specialization
Citations

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

Fields of papers citing papers by Nihat Baysal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nihat Baysal

This figure shows the co-authorship network connecting the top 25 collaborators of Nihat Baysal. A scholar is included among the top collaborators of Nihat Baysal 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 Nihat Baysal. Nihat Baysal 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.
Rende, Deniz, et al.. (2020). Introducing Professional Skills During Unit Operations Laboratory. DSpace - Isik (Işık University). 22.960.1–22.960.18.
2.
Forlenza, Gregory P., Faye Cameron, Trang T. Ly, et al.. (2018). Fully Closed-Loop Multiple Model Probabilistic Predictive Controller Artificial Pancreas Performance in Adolescents and Adults in a Supervised Hotel Setting. Diabetes Technology & Therapeutics. 20(5). 335–343. 59 indexed citations
3.
Howsmon, Daniel P., Nihat Baysal, Bruce A. Buckingham, et al.. (2018). Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas. Journal of Diabetes Science and Technology. 12(3). 599–607. 17 indexed citations
4.
5.
Cameron, Faye, Trang T. Ly, Bruce A. Buckingham, et al.. (2017). Closed-Loop Control Without Meal Announcement in Type 1 Diabetes. Diabetes Technology & Therapeutics. 19(9). 527–532. 75 indexed citations
6.
Forlenza, Gregory P., Sunil Deshpande, Trang T. Ly, et al.. (2017). Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial. Diabetes Care. 40(8). 1096–1102. 39 indexed citations
7.
Howsmon, Daniel P., Faye Cameron, Nihat Baysal, et al.. (2017). Continuous Glucose Monitoring Enables the Detection of Losses in Infusion Set Actuation (LISAs). Sensors. 17(1). 161–161. 18 indexed citations
8.
Erginer, Merve, Deniz Rende, Şeyda Bucak, et al.. (2016). Sulfated levan from Halomonas smyrnensis as a bioactive, heparin-mimetic glycan for cardiac tissue engineering applications. Carbohydrate Polymers. 149. 289–296. 56 indexed citations
9.
Bequette, B. Wayne, Faye Cameron, Nihat Baysal, et al.. (2016). Algorithms for a Single Hormone Closed-Loop Artificial Pancreas: Challenges Pertinent to Chemical Process Operations and Control. Processes. 4(4). 39–39. 2 indexed citations
10.
Erginer, Merve, Deniz Rende, Şeyda Bucak, et al.. (2016). Sulfated Halomonas levan as a heparin-mimetic bioactive glycan. New Biotechnology. 33. S151–S152. 1 indexed citations
11.
Bequette, B. Wayne, Nihat Baysal, Daniel P. Howsmon, & Fraser Cameron. (2015). Steps towards a closed-loop artificial pancreas. 1–2. 7 indexed citations
12.
Cameron, Fraser, Nihat Baysal, & B. Wayne Bequette. (2015). A differential simulator using past clinical trial data to run simulated clinical trials. 53. 5103–5107. 7 indexed citations
13.
Baysal, Nihat, Fraser Cameron, Bruce A. Buckingham, Darrell M. Wilson, & B. Wayne Bequette. (2013). Detecting sensor and insulin infusion set anomalies in an artificial pancreas. 2929–2933. 17 indexed citations
14.
Rende, Deniz, Nihat Baysal, & Betül Kırdar. (2013). Complex Disease Interventions from a Network Model for Type 2 Diabetes. PLoS ONE. 8(6). e65854–e65854. 10 indexed citations
15.
Rende, Deniz, et al.. (2012). Adaptation of professional skills in the unit operations laboratory. Chemical Engineering Education. 46(3). 182–188. 1 indexed citations
16.
Rende, Deniz, et al.. (2012). A Computational Study on Carbon Dioxide Storage in Single Walled Carbon Nanotubes. Journal of Computational and Theoretical Nanoscience. 9(10). 1658–1666. 4 indexed citations
17.
Rende, Deniz, Nihat Baysal, & Betül Kırdar. (2011). A novel integrative network approach to understand the interplay between cardiovascular disease and other complex disorders. Molecular BioSystems. 7(7). 2205–2219. 10 indexed citations
18.
Rende, Deniz, Nihat Baysal, & Rahmi Ozisik. (2010). Carbon dioxide sequestration by carbon nanotubes: Application of graph theoretical approach. Computational Materials Science. 48(2). 402–408. 3 indexed citations
19.
Rende, Deniz, Nihat Baysal, & Betül Kırdar. (2009). Integration of cardiovascular disease protein interaction network and OMIM database. New Biotechnology. 25. S345–S345. 1 indexed citations
20.
Bahar, İvet, Nihat Baysal, Burak Erman, & L. Monnerie. (1995). Kinematics of Polymer Chains in Dense Media. 3. Influence of Intramolecular Conformational Potentials. Macromolecules. 28(4). 1038–1048. 7 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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