Tim Knehans

621 total citations
8 papers, 199 citations indexed

About

Tim Knehans is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Tim Knehans has authored 8 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Tim Knehans's work include Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Tim Knehans is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Protein Structure and Dynamics (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Tim Knehans collaborates with scholars based in Switzerland, United States and Germany. Tim Knehans's co-authors include Amedeo Caflisch, Jeffrey Hill, M. S. Madhusudhan, Subhash G. Vasudevan, Patricia L. Bounds, James R. Halpert, Dmitri R. Davydov, Peter Güntert, Tanja Weil and Danny N.P. Doan and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Tim Knehans

8 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Knehans Switzerland	7	73	42	37	36	34	8	199
Amanda Haymond United States	12	238 3.3×	38 0.9×	38 1.0×	13 0.4×	54 1.6×	25	348
Szymon Pach Germany	8	146 2.0×	34 0.8×	64 1.7×	17 0.5×	15 0.4×	13	283
Sabine Schultes Austria	7	190 2.6×	32 0.8×	82 2.2×	31 0.9×	15 0.4×	8	307
Irfan Hussain Pakistan	9	133 1.8×	58 1.4×	49 1.3×	7 0.2×	36 1.1×	34	260
Maosheng Duan United States	12	123 1.7×	23 0.5×	189 5.1×	27 0.8×	8 0.2×	20	314
Alhumaidi B. Alabbas Saudi Arabia	10	152 2.1×	22 0.5×	85 2.3×	7 0.2×	8 0.2×	33	319
Fandi Sutanto Netherlands	6	204 2.8×	53 1.3×	163 4.4×	23 0.6×	8 0.2×	9	343
Haregewein Assefa United States	9	168 2.3×	43 1.0×	140 3.8×	10 0.3×	11 0.3×	11	358
Louis‐David Cantin Canada	12	145 2.0×	77 1.8×	190 5.1×	11 0.3×	14 0.4×	14	393
Brian Jones United States	10	84 1.2×	22 0.5×	107 2.9×	16 0.4×	15 0.4×	15	264

Countries citing papers authored by Tim Knehans

Since Specialization

Citations

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

Fields of papers citing papers by Tim Knehans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Knehans

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

All Works

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8 of 8 papers shown

Carney, Daniel W., Abba E. Leffler, Jeffrey A. Bell, et al.. (2024). Exploiting high-energy hydration sites for the discovery of potent peptide aldehyde inhibitors of the SARS-CoV-2 main protease with cellular antiviral activity. Bioorganic & Medicinal Chemistry. 103. 117577–117577. 4 indexed citations

Dickgießer, Stephan, Christian Schröter, Jason Tonillo, et al.. (2020). Site-Specific Conjugation of Native Antibodies Using Engineered Microbial Transglutaminases. Bioconjugate Chemistry. 31(4). 1070–1076. 42 indexed citations

Knehans, Tim, et al.. (2020). An ABSINTH-Based Protocol for Predicting Binding Affinities between Proteins and Small Molecules. Journal of Chemical Information and Modeling. 60(10). 5188–5202. 11 indexed citations

Hoffman, Michael M., et al.. (2018). Iriomoteolides: novel chemical tools to study actin dynamics. Chemical Science. 9(15). 3793–3802. 7 indexed citations

Daubeuf, François, Patrick Gizzi, Muriel Hachet‐Haas, et al.. (2018). Discovery of a Locally and Orally Active CXCL12 Neutraligand (LIT-927) with Anti-inflammatory Effect in a Murine Model of Allergic Airway Hypereosinophilia. Journal of Medicinal Chemistry. 61(17). 7671–7686. 31 indexed citations

Müller, Christian S. G., Tim Knehans, Dmitri R. Davydov, et al.. (2014). Concurrent Cooperativity and Substrate Inhibition in the Epoxidation of Carbamazepine by Cytochrome P450 3A4 Active Site Mutants Inspired by Molecular Dynamics Simulations. Biochemistry. 54(3). 711–721. 42 indexed citations

Pochorovski, Igor, Tim Knehans, Daniel Nettels, et al.. (2014). Experimental and Computational Study of BODIPY Dye-Labeled Cavitand Dynamics. Journal of the American Chemical Society. 136(6). 2441–2449. 20 indexed citations

Knehans, Tim, Andreas Schüller, Danny N.P. Doan, et al.. (2011). Structure-guided fragment-based in silico drug design of dengue protease inhibitors. Journal of Computer-Aided Molecular Design. 25(3). 263–274. 42 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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