Haluk Resat

3.3k total citations · 1 hit paper
53 papers, 2.5k citations indexed

About

Haluk Resat is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Oncology. According to data from OpenAlex, Haluk Resat has authored 53 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 15 papers in Atomic and Molecular Physics, and Optics and 13 papers in Oncology. Recurrent topics in Haluk Resat's work include Protein Structure and Dynamics (13 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and HER2/EGFR in Cancer Research (9 papers). Haluk Resat is often cited by papers focused on Protein Structure and Dynamics (13 papers), Spectroscopy and Quantum Chemical Studies (13 papers) and HER2/EGFR in Cancer Research (9 papers). Haluk Resat collaborates with scholars based in United States, Türkiye and Poland. Haluk Resat's co-authors include Kasturi Banerjee, H Wiley, Harish Shankaran, Mihaly Mezei, Maciej Bagiński, Harold L. Friedman, Fernando O. Raineri, J. Andrew McCammon, David A. Dixon and Edward Borowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Chemical Physics.

In The Last Decade

Haluk Resat

53 papers receiving 2.5k citations

Hit Papers

Constitutive activation of STAT3 in breast cancer cells: ... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haluk Resat United States 25 1.5k 498 472 273 185 53 2.5k
Roland H. Stote France 24 1.1k 0.8× 319 0.6× 203 0.4× 142 0.5× 196 1.1× 59 1.9k
Ran Friedman Sweden 28 1.4k 0.9× 257 0.5× 204 0.4× 109 0.4× 241 1.3× 107 2.2k
Wolfgang Henke Germany 31 961 0.6× 424 0.9× 479 1.0× 151 0.6× 257 1.4× 130 3.1k
Robert V. Stanton United States 24 1.3k 0.8× 315 0.6× 196 0.4× 121 0.4× 319 1.7× 53 2.3k
George Seibel United States 11 2.7k 1.8× 388 0.8× 314 0.7× 185 0.7× 592 3.2× 12 3.9k
R P Haugland United States 18 2.1k 1.4× 290 0.6× 234 0.5× 204 0.7× 446 2.4× 23 3.5k
Nathalie Reuter Norway 34 2.1k 1.4× 409 0.8× 297 0.6× 141 0.5× 558 3.0× 94 3.3k
Chung F. Wong United States 24 1.4k 0.9× 302 0.6× 149 0.3× 127 0.5× 306 1.7× 86 2.0k
Jack Collins United States 30 2.6k 1.7× 295 0.6× 428 0.9× 144 0.5× 315 1.7× 87 4.6k
Indira H. Shrivastava United States 32 2.3k 1.5× 360 0.7× 200 0.4× 300 1.1× 302 1.6× 56 3.4k

Countries citing papers authored by Haluk Resat

Since Specialization
Citations

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

Fields of papers citing papers by Haluk Resat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haluk Resat

This figure shows the co-authorship network connecting the top 25 collaborators of Haluk Resat. A scholar is included among the top collaborators of Haluk Resat 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 Haluk Resat. Haluk Resat 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.
Resat, Haluk, et al.. (2017). Quantitative investigation of MDA-MB-231 breast cancer cell motility: dependence on epidermal growth factor concentration and its gradient. Molecular BioSystems. 13(10). 2069–2082. 12 indexed citations
2.
Banerjee, Kasturi, et al.. (2017). EGFR signaling pathways are wired differently in normal 184A1L5 human mammary epithelial and MDA-MB-231 breast cancer cells. Journal of Cell Communication and Signaling. 11(4). 341–356. 11 indexed citations
4.
Shankaran, Harish, et al.. (2013). Model-Based Analysis of HER Activation in Cells Co-Expressing EGFR, HER2 and HER3. PLoS Computational Biology. 9(8). e1003201–e1003201. 15 indexed citations
5.
Shankaran, Harish, Yi Zhang, William Chrisler, et al.. (2012). Integrated experimental and model-based analysis reveals the spatial aspects of EGFR activation dynamics. Molecular BioSystems. 8(11). 2868–2882. 12 indexed citations
6.
Resat, Haluk, Vanessa Bailey, Lee Ann McCue, & Allan Konopka. (2011). Modeling Microbial Dynamics in Heterogeneous Environments: Growth on Soil Carbon Sources. Microbial Ecology. 63(4). 883–897. 53 indexed citations
7.
Resat, Haluk, et al.. (2010). Spatial Aspects in Biological System Simulations. Methods in enzymology on CD-ROM/Methods in enzymology. 487. 485–511. 5 indexed citations
8.
Resat, Haluk, et al.. (2009). Kinetic Modeling of Biological Systems. Methods in molecular biology. 541. 311–335. 58 indexed citations
9.
Shankaran, Harish, Yi Zhang, Lee K. Opresko, & Haluk Resat. (2008). Quantifying the effects of co-expressing EGFR and HER2 on HER activation and trafficking. Biochemical and Biophysical Research Communications. 371(2). 220–224. 17 indexed citations
10.
Shankaran, Harish, H Wiley, & Haluk Resat. (2007). Receptor downregulation and desensitization enhance the information processing ability of signalling receptors. BMC Systems Biology. 1(1). 48–48. 66 indexed citations
11.
Singhal, Mudita & Haluk Resat. (2007). A domain-based approach to predict protein-protein interactions. BMC Bioinformatics. 8(1). 199–199. 65 indexed citations
12.
Shankaran, Harish, Haluk Resat, & H Wiley. (2007). Cell Surface Receptors for Signal Transduction and Ligand Transport: A Design Principles Study. PLoS Computational Biology. 3(6). e101–e101. 73 indexed citations
13.
Miller, John H., Zheng Fu, Shuo Jin, et al.. (2005). A Model of Cytokine Shedding Induced by Low Doses of Gamma Radiation. Radiation Research. 163(3). 337–342. 5 indexed citations
14.
Resat, Haluk, Jonathan A. Ewald, David A. Dixon, & H Wiley. (2003). An Integrated Model of Epidermal Growth Factor Receptor Trafficking and Signal Transduction. Biophysical Journal. 85(2). 730–743. 126 indexed citations
15.
Bagiński, Maciej, Haluk Resat, & Edward Borowski. (2002). Comparative molecular dynamics simulations of amphotericin B–cholesterol/ergosterol membrane channels. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1567(1-2). 63–78. 130 indexed citations
16.
Resat, Haluk & Maciej Bagiński. (2002). Ion passage pathways and thermodynamics of the amphotericin B membrane channel. European Biophysics Journal. 31(4). 294–305. 20 indexed citations
17.
Resat, Haluk & Mihaly Mezei. (2000). Calculating the local solvent chemical potential in crystal hydrates. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 62(5). 7077–7081. 2 indexed citations
18.
Resat, Haluk, et al.. (2000). Conformational properties of amphotericin B amide derivatives – impact on selective toxicity. Journal of Computer-Aided Molecular Design. 14(7). 689–703. 24 indexed citations
19.
Marrone, Tami, J. Andrew McCammon, Haluk Resat, C. Nicholas Hodge, & Chong‐Hwan Chang. (1998). Solvation studies of DMP323 and A76928 bound to HIV protease: Analysis of water sites using grand canonical Monte Carlo simulations. Protein Science. 7(3). 573–579. 14 indexed citations
20.
Resat, Haluk & Mihaly Mezei. (1996). Grand canonical ensemble Monte Carlo simulation of the dCpG/proflavine crystal hydrate. Biophysical Journal. 71(3). 1179–1190. 40 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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