István P. Sugár

1.9k total citations
92 papers, 1.6k citations indexed

About

István P. Sugár is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Surgery. According to data from OpenAlex, István P. Sugár has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 26 papers in Atomic and Molecular Physics, and Optics and 17 papers in Surgery. Recurrent topics in István P. Sugár's work include Lipid Membrane Structure and Behavior (49 papers), Spectroscopy and Quantum Chemical Studies (24 papers) and Surfactants and Colloidal Systems (14 papers). István P. Sugár is often cited by papers focused on Lipid Membrane Structure and Behavior (49 papers), Spectroscopy and Quantum Chemical Studies (24 papers) and Surfactants and Colloidal Systems (14 papers). István P. Sugár collaborates with scholars based in United States, Hungary and Italy. István P. Sugár's co-authors include Eberhard Neumann, Parkson Lee‐Gau Chong, T. E. Thompson, Rodney L. Biltonen, W. Förster, Parkson L.-G. Chong, Richard C. Hresko, Yechezkel Barenholz, F. Liu and Stuart C. Sealfon and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

István P. Sugár

88 papers receiving 1.5k citations

Peers

István P. Sugár

AMPO

BIOTE

S. W. Hui United States

Eugene C. Petrella United States

J.M. Ruysschaert Belgium

W. Pangborn United States

P. T. Ravi Rajagopalan United States

John Bramhall United States

Jeannine M. Yon France

P.J. Artymiuk United Kingdom

James L. Alderfer United States

Paul R. Rosevear United States

S. W. Hui United States

István P. Sugár

1.1k ×1.0

174 ×0.6

AMPO

65 ×0.2

BIOTE

108 ×0.4

161 ×0.7

Citations per year, relative to István P. Sugár István P. Sugár (= 1×) peers S. W. Hui

Countries citing papers authored by István P. Sugár

Since Specialization

Citations

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

Fields of papers citing papers by István P. Sugár

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by István P. Sugár. 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 István P. Sugár. The network helps show where István P. Sugár may publish in the future.

Co-authorship network of co-authors of István P. Sugár

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

All Works

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20 of 20 papers shown

Sugár, István P., Jayajit Das, C. Jayaprakash, & Stuart C. Sealfon. (2017). Multiscale Modeling of Complex Formation and CD80 Depletion during Immune Synapse Development. Biophysical Journal. 112(5). 997–1009. 11 indexed citations

Sugár, István P., István Simon, & Parkson L.-G. Chong. (2013). Series of Concentration-Induced Phase Transitions in Cholesterol/Phosphatidylcholine Mixtures. Biophysical Journal. 104(11). 2448–2455. 4 indexed citations

Sugár, István P. & Parkson Lee‐Gau Chong. (2012). A Statistical Mechanical Model of Cholesterol/Phospholipid Mixtures: Linking Condensed Complexes, Superlattices, and the Phase Diagram. Biophysical Journal. 102(3). 294a–294a. 14 indexed citations

Venegas, Berenice, Weiwei Zhu, Janet Lee, et al.. (2012). Cholesterol Superlattice Modulates CA4P Release from Liposomes and CA4P Cytotoxicity on Mammary Cancer Cells. Biophysical Journal. 102(9). 2086–2094. 15 indexed citations

Sugár, István P., et al.. (2011). Improved compensation in flow cytometry by multivariable optimization. Cytometry Part A. 79A(5). 356–360. 8 indexed citations

Sugár, István P. & Stuart C. Sealfon. (2010). Misty Mountain Clustering: Application to Fast Unsupervised Flow Cytometry Gating. Biophysical Journal. 98(3). 737a–738a. 2 indexed citations

Sugár, István P., et al.. (2008). Secondary Iliac-Enteric Fistula to the Sigmoid Colon Complicated with Entero-Grafto-Cutaneous Fistula. Case Reports in Gastroenterology. 2(1). 138–143. 5 indexed citations

Sugár, István P., et al.. (2002). Component and State Separation in DMPC/DSPC Lipid Bilayers:A Monte Carlo Simulation Study. Biophysical Journal. 83(4). 1820–1833. 37 indexed citations

Sugár, István P., Nancy K. Mizuno, Maureen M. Momsen, & Howard L. Brockman. (2001). Lipid Lateral Organization in Fluid Interfaces Controls the Rate of Colipase Association. Biophysical Journal. 81(6). 3387–3397. 21 indexed citations

10.

Sugár, István P., T. E. Thompson, & Rodney L. Biltonen. (1999). Monte Carlo Simulation of Two-Component Bilayers: DMPC/DSPC Mixtures. Biophysical Journal. 76(4). 2099–2110. 79 indexed citations

11.

Sugár, István P., et al.. (1996). Pancreatic-Pleural Fistula Demonstrated by Endoscopic Retrograde Cholangiopancreatography. Endoscopy. 28(9). 784–784. 7 indexed citations

12.

Jakab, F, et al.. (1996). The Relationship between Portal Venous and Hepatic Arterial Blood Flow. I. Experimental Liver Transplantation. HPB Surgery. 10(1). 21–26. 21 indexed citations

13.

Xu, Yifeng, N. Rama Krishna, & István P. Sugár. (1995). A Global Optimization Method Based on Variable Target Functions for Fitting of the Experimental and Calculated NOESY Spectra. Journal of Magnetic Resonance Series B. 107(3). 201–209. 1 indexed citations

14.

Xu, Yuan, István P. Sugár, & N. Rama Krishna. (1995). A variable target intensity-restrained global optimization (VARTIGO) procedure for determining three-dimensional structures of polypeptides from NOESY data: Application to gramicidin-S. Journal of Biomolecular NMR. 5(1). 37–48. 44 indexed citations

15.

Cheng, Kwan Hon, et al.. (1994). Intramolecular excimer kinetics of fluorescent dipyrenyl lipids: 2. DOPE/DOPC membranes. Biophysical Journal. 67(2). 914–921. 12 indexed citations

16.

Chong, Parkson L.-G., et al.. (1994). Exploration of physical principles underlying lipid regular distribution: effects of pressure, temperature, and radius of curvature on E/M dips in pyrene-labeled PC/DMPC binary mixtures. Biophysical Journal. 66(6). 2029–2038. 48 indexed citations

17.

Sugár, István P., et al.. (1994). [25] Monte Carlo simulations of membranes: Phase transition of small unilamellar dipalmitoylphosphatidylcholine vesicles. Methods in enzymology on CD-ROM/Methods in enzymology. 240. 569–593. 42 indexed citations

18.

Sugár, István P. & Yuan Xu. (1992). Computer simulation of 2D-NMR (NOESY) spectra and polypeptide structure determination. Progress in Biophysics and Molecular Biology. 58(1). 61–84. 4 indexed citations

19.

Sugár, István P., et al.. (1984). Landau Theory of One and Two-Component Phospholipid Bilayers: II. Excess Heat Capacity Functions and Cooperative Unit Sizes. Molecular crystals and liquid crystals. 112(3-4). 197–212. 2 indexed citations

20.

Sugár, István P., et al.. (1978). Electric field induced defect-forming mechanisms in lipid bilayers.. PubMed. 13(3). 193–200.

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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