Peter J. Gee

778 total citations
10 papers, 637 citations indexed

About

Peter J. Gee is a scholar working on Molecular Biology, Spectroscopy and Biomaterials. According to data from OpenAlex, Peter J. Gee has authored 10 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Biomaterials. Recurrent topics in Peter J. Gee's work include Protein Structure and Dynamics (6 papers), Chemical Synthesis and Analysis (5 papers) and Mass Spectrometry Techniques and Applications (3 papers). Peter J. Gee is often cited by papers focused on Protein Structure and Dynamics (6 papers), Chemical Synthesis and Analysis (5 papers) and Mass Spectrometry Techniques and Applications (3 papers). Peter J. Gee collaborates with scholars based in Switzerland, United States and Netherlands. Peter J. Gee's co-authors include Wilfred F. van Gunsteren, Xavier Daura, Alice Glättli, Indira Chandrasekhar, Chris Oostenbrink, Haibo Yu, Markus Christen, Dirk Bakowies, Merijn Schenk and Riccardo Baron and has published in prestigious journals such as Angewandte Chemie International Edition, Chemistry - A European Journal and Proteins Structure Function and Bioinformatics.

In The Last Decade

Peter J. Gee

9 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter J. Gee Switzerland	8	462	186	160	111	61	10	637
Maarten G. Wolf Germany	13	427 0.9×	229 1.2×	89 0.6×	123 1.1×	74 1.2×	20	763
Ernesto Suárez United States	12	396 0.9×	93 0.5×	95 0.6×	88 0.8×	58 1.0×	32	544
Ninad V. Prabhu United States	11	565 1.2×	180 1.0×	196 1.2×	99 0.9×	55 0.9×	15	783
Atanu Das India	13	326 0.7×	127 0.7×	154 1.0×	74 0.7×	59 1.0×	43	607
Brian Andrews United States	12	580 1.3×	336 1.8×	238 1.5×	162 1.5×	42 0.7×	21	808
Jason A. Wallace United States	10	537 1.2×	179 1.0×	116 0.7×	96 0.9×	97 1.6×	13	650
Michael Schaefer France	10	521 1.1×	159 0.9×	174 1.1×	67 0.6×	112 1.8×	16	714
Vincent Kräutler Switzerland	8	663 1.4×	226 1.2×	281 1.8×	117 1.1×	126 2.1×	9	966
Zhixiong Lin Switzerland	14	484 1.0×	159 0.9×	130 0.8×	55 0.5×	72 1.2×	35	677
Daniel S. Spencer United States	6	571 1.2×	118 0.6×	197 1.2×	87 0.8×	49 0.8×	7	705

Countries citing papers authored by Peter J. Gee

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Gee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Gee. 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 Peter J. Gee. The network helps show where Peter J. Gee may publish in the future.

Co-authorship network of co-authors of Peter J. Gee

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

All Works

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10 of 10 papers shown

Gee, Peter J. & Wilfred F. van Gunsteren. (2006). Acetonitrile revisited: a molecular dynamics study of the liquid phase. Molecular Physics. 104(3). 477–483. 48 indexed citations

Gee, Peter J. & Wilfred F. van Gunsteren. (2006). Terminal‐group effects on the folding behavior of selected beta‐peptides. Proteins Structure Function and Bioinformatics. 63(1). 136–143. 16 indexed citations

Gee, Peter J. & Wilfred F. van Gunsteren. (2006). Numerical Simulation of the Pressure Denaturation of a Helical β‐Peptide Heptamer Solvated in Methanol. Helvetica Chimica Acta. 89(3). 475–482. 2 indexed citations

Gunsteren, Wilfred F. van, Dirk Bakowies, Riccardo Baron, et al.. (2006). Biomolekulare Modellierung: Ziele, Probleme, Perspektiven. Angewandte Chemie. 118(25). 4168–4198. 29 indexed citations

Gunsteren, Wilfred F. van, Dirk Bakowies, Riccardo Baron, et al.. (2006). Biomolecular Modeling: Goals, Problems, Perspectives. Angewandte Chemie International Edition. 45(25). 4064–4092. 442 indexed citations

Gee, Peter J. & Wilfred F. van Gunsteren. (2005). Numerical Simulation of the Effect of Solvent Viscosity on the Motions of a β‐Peptide Heptamer. Chemistry - A European Journal. 12(1). 72–75. 20 indexed citations

Gee, Peter J., Fred A. Hamprecht, Lukas D. Schuler, et al.. (2002). A Molecular-Dynamics Simulation Study of the Conformational Preferences of Oligo(3-hydroxyalkanoic acids) in Chloroform Solution. Helvetica Chimica Acta. 85(2). 618–632. 19 indexed citations

Daura, Xavier, Alice Glättli, Peter J. Gee, Christine Peter, & Wilfred F. van Gunsteren. (2002). Unfolded state of peptides. Advances in protein chemistry. 62. 341–360. 41 indexed citations

Bakowies, Dirk, Roland Bürgi, Indira Chandrasekhar, et al.. (2001). Molecular Dynamics Simulation of Biomolecular Systems. CHIMIA International Journal for Chemistry. 55(10). 856–856. 20 indexed citations

10.

Gee, Peter J., et al.. (1976). Collective Bargaining for Non-Instructional Personnel: A Union Perspective.. Scholar Commons (University of South Carolina).

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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