Joachim Weidmann

505 total citations
11 papers, 356 citations indexed

About

Joachim Weidmann is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Joachim Weidmann has authored 11 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Joachim Weidmann's work include Chemical Synthesis and Analysis (4 papers), Biochemical and Structural Characterization (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Joachim Weidmann is often cited by papers focused on Chemical Synthesis and Analysis (4 papers), Biochemical and Structural Characterization (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Joachim Weidmann collaborates with scholars based in Australia, Germany and United States. Joachim Weidmann's co-authors include David J. Craik, Simon J. de Veer, Philip E. Dawson, Marcel Freund, Omar Bagasra, Jörg D. Hoheisel, Martina Schnölzer, Charles Olea, Gerald F. Joyce and Elena Dimitrijević and has published in prestigious journals such as Journal of Biological Chemistry, Accounts of Chemical Research and PLoS ONE.

In The Last Decade

Joachim Weidmann

11 papers receiving 349 citations

Peers

Joachim Weidmann

MB

MICRO

IMMUN

PS

ID

Lauren R. H. Krumpe United States

Wenlong Lian United States

Stefan Galuska United States

V. A. Nesmeyanov Russia

Weili Yu China

Carine Farenc Australia

Enrico Balducci Italy

Philip A. Jennings Australia

Shaikh Mizan United States

Phu Nguyen Le Minh Belgium

Lauren R. H. Krumpe United States

Joachim Weidmann

459 ×1.8

MB

30 ×0.4

MICRO

51 ×1.0

IMMUN

16 ×0.3

PS

80 ×1.8

ID

Citations per year, relative to Joachim Weidmann Joachim Weidmann (= 1×) peers Lauren R. H. Krumpe

Countries citing papers authored by Joachim Weidmann

Since Specialization

Citations

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

Fields of papers citing papers by Joachim Weidmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joachim Weidmann

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

All Works

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11 of 11 papers shown

1.

Durek, Thomas, Quentin Kaas, Andrew M. White, et al.. (2021). Melanocortin 1 Receptor Agonists Based on a Bivalent, Bicyclic Peptide Framework. Journal of Medicinal Chemistry. 64(14). 9906–9915. 7 indexed citations

2.

Wang, Conan K., et al.. (2020). Structure-activity analysis of truncated albumin-binding domains suggests new lead constructs for potential therapeutic delivery. Journal of Biological Chemistry. 295(34). 12143–12152. 7 indexed citations

3.

Gaspar, Diana, Caibin Sheng, Yen‐Hua Huang, et al.. (2019). Cell Membrane Composition Drives Selectivity and Toxicity of Designed Cyclic Helix–Loop–Helix Peptides with Cell Penetrating and Tumor Suppressor Properties. ACS Chemical Biology. 14(9). 2071–2087. 18 indexed citations

4.

Weidmann, Joachim, Martina Schnölzer, Philip E. Dawson, & Jörg D. Hoheisel. (2019). Copying Life: Synthesis of an Enzymatically Active Mirror-Image DNA-Ligase Made of D-Amino Acids. Cell chemical biology. 26(5). 645–651.e3. 38 indexed citations

5.

Wang, Conan K., Joachim Weidmann, Peta J. Harvey, et al.. (2018). Calcium-Mediated Allostery of the EGF Fold. ACS Chemical Biology. 13(6). 1659–1667. 11 indexed citations

6.

Veer, Simon J. de, Joachim Weidmann, & David J. Craik. (2017). Cyclotides as Tools in Chemical Biology. Accounts of Chemical Research. 50(7). 1557–1565. 59 indexed citations

7.

Weidmann, Joachim & David J. Craik. (2016). Discovery, structure, function, and applications of cyclotides: circular proteins from plants. Journal of Experimental Botany. 67(16). 4801–4812. 99 indexed citations

8.

Olea, Charles, Joachim Weidmann, Philip E. Dawson, & Gerald F. Joyce. (2015). An L-RNA Aptamer that Binds and Inhibits RNase. Chemistry & Biology. 22(11). 1437–1441. 22 indexed citations

9.

Weidmann, Joachim, Elena Dimitrijević, Jörg D. Hoheisel, & Philip E. Dawson. (2015). Boc-SPPS: Compatible Linker for the Synthesis of Peptide o-Aminoanilides. Organic Letters. 18(2). 164–167. 15 indexed citations

10.

Andreasson, Kalle, et al.. (2011). Murine Polyomavirus Virus-Like Particles Carrying Full-Length Human PSA Protect BALB/c Mice from Outgrowth of a PSA Expressing Tumor. PLoS ONE. 6(8). e23828–e23828. 24 indexed citations

11.

Bagasra, Omar, et al.. (1988). Interaction of human immunodeficiency virus with human sperm in vitro.. PubMed. 1(5). 431–5. 56 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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