Iris Antes

2.7k total citations
67 papers, 1.8k citations indexed

About

Iris Antes is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Iris Antes has authored 67 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 16 papers in Organic Chemistry and 12 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Iris Antes's work include Protein Structure and Dynamics (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Computational Drug Discovery Methods (11 papers). Iris Antes is often cited by papers focused on Protein Structure and Dynamics (16 papers), Monoclonal and Polyclonal Antibodies Research (12 papers) and Computational Drug Discovery Methods (11 papers). Iris Antes collaborates with scholars based in Germany, United States and Switzerland. Iris Antes's co-authors include Thomas Lengauer, Rolf W. Hartmann, Ursula Müller‐Vieira, Gernot Frenking, Thomas Hoffmann, Heinrich Leonhardt, M. Cristina Cardoso, Klaus M. Biemel, Sandrine Marchais‐Oberwinkler and Marieke Voets and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Iris Antes

66 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iris Antes Germany 25 1.1k 327 224 201 197 67 1.8k
Brian M. McKeever United States 24 1.4k 1.2× 615 1.9× 72 0.3× 229 1.1× 50 0.3× 46 2.5k
Miriam Sgobba Italy 15 1.0k 0.9× 178 0.5× 71 0.3× 414 2.1× 65 0.3× 17 1.4k
M. Sundström Sweden 23 2.4k 2.1× 179 0.5× 87 0.4× 255 1.3× 35 0.2× 40 3.4k
Noriyuki Habuka Japan 20 1.3k 1.1× 378 1.2× 77 0.3× 166 0.8× 49 0.2× 36 2.5k
Jeffrey R. Huth United States 26 2.2k 2.0× 548 1.7× 47 0.2× 637 3.2× 82 0.4× 40 3.3k
Renate Griffith Australia 27 1.0k 0.9× 641 2.0× 38 0.2× 240 1.2× 52 0.3× 90 2.0k
Rongshi Li United States 23 1.0k 0.9× 789 2.4× 54 0.2× 186 0.9× 75 0.4× 44 2.2k
Barbara Leiting United States 25 1.5k 1.4× 434 1.3× 427 1.9× 79 0.4× 32 0.2× 50 2.6k
Charles A. Lesburg United States 17 1.1k 1.0× 192 0.6× 29 0.1× 106 0.5× 106 0.5× 34 1.9k
Daniel K. Gehlhaar United States 17 1.5k 1.4× 318 1.0× 39 0.2× 725 3.6× 62 0.3× 24 2.0k

Countries citing papers authored by Iris Antes

Since Specialization
Citations

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

Fields of papers citing papers by Iris Antes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Antes

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Antes. A scholar is included among the top collaborators of Iris Antes 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 Iris Antes. Iris Antes 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.
Gopalswamy, Mohanraj, Zheng Chen, Hamed Kooshapur, et al.. (2022). Distinct conformational and energetic features define the specific recognition of (di)aromatic peptide motifs by PEX14. Biological Chemistry. 404(2-3). 179–194. 3 indexed citations
2.
Antes, Iris, et al.. (2020). A modular approach to the bisbenzylisoquinoline alkaloids tetrandrine and isotetrandrine. Organic & Biomolecular Chemistry. 18(16). 3047–3068. 24 indexed citations
3.
Brötz‐Oesterhelt, Heike, et al.. (2019). Acyldepsipeptide Probes Facilitate Specific Detection of Caseinolytic Protease P Independent of Its Oligomeric and Activity State. ChemBioChem. 21(1-2). 235–240. 7 indexed citations
4.
Eggenschwiler, Reto, Atanas Patronov, Jan Hegermann, et al.. (2019). A combined in silico and in vitro study on mouse Serpina1a antitrypsin-deficiency mutants. Scientific Reports. 9(1). 7486–7486. 2 indexed citations
5.
Audehm, Stefan, Matteo Pecoraro, Eva Bräunlein, et al.. (2019). Key Features Relevant to Select Antigens and TCR From the MHC-Mismatched Repertoire to Treat Cancer. Frontiers in Immunology. 10. 1485–1485. 7 indexed citations
6.
Uǧur, İlke, et al.. (2019). Predicting the bioactive conformations of macrocycles: a molecular dynamics-based docking procedure with DynaDock. Journal of Molecular Modeling. 25(7). 197–197. 12 indexed citations
7.
Jewgiński, Michał, et al.. (2019). 1,4-Disubstituted 1H-1,2,3-Triazole Containing Peptidotriazolamers: A New Class of Peptidomimetics With Interesting Foldamer Properties. Frontiers in Chemistry. 7. 155–155. 15 indexed citations
8.
Korotkov, Vadim S., et al.. (2018). Chemical Cross-Linking Enables Drafting ClpXP Proximity Maps and Taking Snapshots of In Situ Interaction Networks. Cell chemical biology. 26(1). 48–59.e7. 28 indexed citations
9.
Antes, Iris, et al.. (2018). Accurate Prediction of Protein-Ligand Binding by Combined Molecular Dynamics-Based Docking and QM/MM Methods. Biophysical Journal. 114(3). 42a–42a. 2 indexed citations
10.
Marion, Antoine, M. Groll, Daniel H. Scharf, et al.. (2017). Gliotoxin Biosynthesis: Structure, Mechanism, and Metal Promiscuity of Carboxypeptidase GliJ. ACS Chemical Biology. 12(7). 1874–1882. 27 indexed citations
11.
Agam, Ganesh, Anders Barth, Cathleen Zeymer, et al.. (2017). Bap (Sil1) regulates the molecular chaperone BiP by coupling release of nucleotide and substrate. Nature Structural & Molecular Biology. 25(1). 90–100. 38 indexed citations
12.
Bujotzek, Alexander, Angelika Fuchs, Changtao Qu, et al.. (2015). MoFvAb: Modeling the Fv region of antibodies. mAbs. 7(5). 838–852. 21 indexed citations
13.
14.
Marcinowski, Moritz, Johannes Elferich, Julia Behnke, et al.. (2012). Conformational Selection in Substrate Recognition by Hsp70 Chaperones. Journal of Molecular Biology. 425(3). 466–474. 39 indexed citations
15.
Frauer, Carina, Thomas Hoffmann, Sebastian Bultmann, et al.. (2011). Recognition of 5-Hydroxymethylcytosine by the Uhrf1 SRA Domain. PLoS ONE. 6(6). e21306–e21306. 146 indexed citations
16.
Hannemann, Frank, Michael Lisurek, Jens Peter von Kries, et al.. (2011). Identification of CYP106A2 as a Regioselective Allylic Bacterial Diterpene Hydroxylase. ChemBioChem. 12(4). 576–582. 51 indexed citations
17.
Hartmann, Christoph, Iris Antes, & Thomas Lengauer. (2008). Docking and scoring with alternative side‐chain conformations. Proteins Structure Function and Bioinformatics. 74(3). 712–726. 24 indexed citations
18.
Antes, Iris, Shirley W. I. Siu, & Thomas Lengauer. (2006). DynaPred: A structure and sequence based method for the prediction of MHC class I binding peptide sequences and conformations. Bioinformatics. 22(14). e16–e24. 57 indexed citations
19.
Bastian, Sabine, et al.. (2006). Improvement of the fungal enzyme pyranose 2-oxidase using protein engineering. Journal of Biotechnology. 124(1). 26–40. 12 indexed citations
20.
Müller‐Vieira, Ursula, et al.. (2005). Synthesis and Evaluation of (Pyridylmethylene)tetrahydronaphthalenes/-indanes and Structurally Modified Derivatives:  Potent and Selective Inhibitors of Aldosterone Synthase. Journal of Medicinal Chemistry. 48(5). 1563–1575. 67 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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