Herbert R. Treutlein

659 total citations
19 papers, 522 citations indexed

About

Herbert R. Treutlein is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Herbert R. Treutlein has authored 19 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Herbert R. Treutlein's work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Herbert R. Treutlein is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). Herbert R. Treutlein collaborates with scholars based in Australia, Belgium and Germany. Herbert R. Treutlein's co-authors include Axel T. Brünger, Mark A. Lemmon, Donald M. Engelman, Jun Zeng, Antony W. Burgess, Klaus Schulten, Hiroshi Maruta, Thomas Simonson, Francesca Walker and Klaus Schulten and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Herbert R. Treutlein

19 papers receiving 504 citations

Peers

Herbert R. Treutlein

ONCOL

SNP

RNMI

IMMUN

Ronny Straube Germany

Yuichi Togashi Japan

Christopher C. Govern United States

James P. Slattery United States

Debashis Barik India

H. Conzelmann Germany

Kazunari Kaizu Japan

Denis Tsygankov United States

Ambarish Kunwar India

Claudia Kalla Germany

Ronny Straube Germany

Herbert R. Treutlein

515 ×1.4

49 ×0.6

ONCOL

145 ×2.1

SNP

16 ×0.3

RNMI

13 ×0.2

IMMUN

Citations per year, relative to Herbert R. Treutlein Herbert R. Treutlein (= 1×) peers Ronny Straube

Countries citing papers authored by Herbert R. Treutlein

Since Specialization

Citations

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

Fields of papers citing papers by Herbert R. Treutlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Herbert R. Treutlein. 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 Herbert R. Treutlein. The network helps show where Herbert R. Treutlein may publish in the future.

Co-authorship network of co-authors of Herbert R. Treutlein

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

All Works

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19 of 19 papers shown

Jiao, Yongjun, F. Sue Legge, Xiaoyan Zeng, Herbert R. Treutlein, & Jun Zeng. (2014). Antibody Recognition of Shiga Toxins (Stxs): Computational Identification of the Epitopes of Stx2 Subunit A to the Antibodies 11E10 and S2C4. PLoS ONE. 9(2). e88191–e88191. 6 indexed citations

Legge, F. Sue, Herbert R. Treutlein, Geoffrey J. Howlett, & Irene Yarovsky. (2007). Molecular dynamics simulations of a fibrillogenic peptide derived from apolipoprotein C-II. Biophysical Chemistry. 130(3). 102–113. 19 indexed citations

Treutlein, Herbert R., et al.. (2002). Simulation of helix association in membranes: modeling the glycophorin A transmembrane domain. 264. 708–714. 2 indexed citations

Zeng, Jun, Thao Nheu, Anna Zorzet, et al.. (2001). Design of inhibitors of Ras–Raf interaction using a computational combinatorial algorithm. Protein Engineering Design and Selection. 14(1). 39–45. 22 indexed citations

Zeng, Jun, Herbert R. Treutlein, & George B. Rudy. (2001). Predicting sequences and structures of MHC-binding peptides: a computational combinatorial approach. Journal of Computer-Aided Molecular Design. 15(6). 573–586. 20 indexed citations

Treutlein, Herbert R., et al.. (2001). Conformational analysis of thiopeptides: (ϕ,ψ) maps of thio‐substituted dipeptides. Journal of Computational Chemistry. 22(10). 1026–1037. 19 indexed citations

Maruta, Hiroshi, et al.. (2000). Point Mutants of c-Raf-1 RBD with Elevated Binding to v-Ha-Ras. Journal of Biological Chemistry. 275(39). 30363–30371. 34 indexed citations

Minasian, E., et al.. (2000). PEPCAT?A new tool for conformational analysis of peptides. Journal of Computational Chemistry. 21(6). 446–461. 8 indexed citations

Zeng, Jun, Herbert R. Treutlein, & Thomas Simonson. (1999). Molecular dynamics simulations of the Ras:Raf and Rap:Raf complexes. Proteins Structure Function and Bioinformatics. 35(1). 89–100. 14 indexed citations

10.

Zeng, Jun & Herbert R. Treutlein. (1999). A method for computational combinatorial peptide design of inhibitors of Ras protein. Protein Engineering Design and Selection. 12(6). 457–468. 15 indexed citations

11.

Zeng, Jun, et al.. (1999). Protein‐protein recognition: An experimental and computational study of the R89K mutation in Raf and its effect on Ras binding. Protein Science. 8(1). 50–64. 30 indexed citations

12.

Zeng, Jun, Herbert R. Treutlein, & Thomas Simonson. (1998). Conformation of the Ras-binding domain of Raf studied by molecular dynamics and free energy simulations. Proteins Structure Function and Bioinformatics. 31(2). 186–200. 9 indexed citations

13.

Groenen, Leo C., Francesca Walker, Antony W. Burgess, & Herbert R. Treutlein. (1997). A Model for the Activation of the Epidermal Growth Factor Receptor Kinase: Involvement of an Asymmetric Dimer?. Biochemistry. 36(13). 3826–3836. 29 indexed citations

14.

Davis, Ian D., Herbert R. Treutlein, Karlheinz Friedrich, & Antony W. Burgess. (1995). A Potent Human Interleukin-4 Antagonist Stimulates the Proliferation of Murine Cells Expressing the Human Interleukin-4 Binding Chain. Growth Factors. 12(1). 69–83. 2 indexed citations

15.

Burgess, Antony W., et al.. (1995). Modeling conformational changes in cyclosporin A. Protein Science. 4(10). 2191–2202. 27 indexed citations

16.

Layton, Meredith J., Catherine M. Owczarek, D Metcalf, et al.. (1994). Conversion of the biological specificity of murine to human leukemia inhibitory factor by replacing 6 amino acid residues.. Journal of Biological Chemistry. 269(47). 29891–29896. 39 indexed citations

17.

Treutlein, Herbert R., Mark A. Lemmon, Donald M. Engelman, & Axel T. Brünger. (1992). The glycophorin A transmembrane domain dimer: Sequence-specific propensity for a right-handed supercoil of helixes. Biochemistry. 31(51). 12726–12732. 153 indexed citations

18.

Treutlein, Herbert R. & Klaus Schulten. (1986). Noise-induced neural impulses. European Biophysics Journal. 13(6). 355–65. 23 indexed citations

19.

Treutlein, Herbert R. & Klaus Schulten. (1985). Noise Induced Limit Cycles of the Bonhoeffer‐Van der Pol Model of Neural Pulses. Berichte der Bunsengesellschaft für physikalische Chemie. 89(6). 710–718. 51 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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