Joshua S. Weinger

1.3k total citations
9 papers, 1.0k citations indexed

About

Joshua S. Weinger is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Joshua S. Weinger has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Joshua S. Weinger's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers) and Peptidase Inhibition and Analysis (3 papers). Joshua S. Weinger is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (5 papers) and Peptidase Inhibition and Analysis (3 papers). Joshua S. Weinger collaborates with scholars based in United States, Netherlands and Australia. Joshua S. Weinger's co-authors include Scott A. Strobel, Tarun M. Kapoor, Donald M. Engelman, Silke Dorner, Rachel Green, K. Mark Parnell, Vladimir I. Gelfand, James Chen, Kari Barlan and María Maldonado and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Joshua S. Weinger

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joshua S. Weinger United States 9 791 340 178 82 60 9 1.0k
Manuel Hilbert Switzerland 14 777 1.0× 537 1.6× 137 0.8× 69 0.8× 80 1.3× 17 1.1k
Alexandra M. Deaconescu United States 14 736 0.9× 431 1.3× 243 1.4× 39 0.5× 57 0.9× 23 954
Sarah E. Bondos United States 18 936 1.2× 139 0.4× 155 0.9× 49 0.6× 65 1.1× 44 1.2k
Volker C. Cordes Germany 21 1.9k 2.3× 315 0.9× 99 0.6× 38 0.5× 37 0.6× 26 2.2k
William B. Redwine United States 7 688 0.9× 655 1.9× 104 0.6× 56 0.7× 74 1.2× 9 961
Natacha Olieric Switzerland 20 932 1.2× 703 2.1× 214 1.2× 111 1.4× 64 1.1× 29 1.3k
C.H.S. Aylett United Kingdom 17 937 1.2× 170 0.5× 174 1.0× 42 0.5× 27 0.5× 26 1.2k
Olga Vorontsova Sweden 16 569 0.7× 229 0.7× 149 0.8× 106 1.3× 114 1.9× 29 854
Anne‐Marie Michon Germany 15 978 1.2× 191 0.6× 108 0.6× 79 1.0× 73 1.2× 21 1.1k
Veronique Jonckheere Belgium 17 641 0.8× 259 0.8× 70 0.4× 199 2.4× 44 0.7× 31 899

Countries citing papers authored by Joshua S. Weinger

Since Specialization
Citations

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

Fields of papers citing papers by Joshua S. Weinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua S. Weinger. 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 Joshua S. Weinger. The network helps show where Joshua S. Weinger may publish in the future.

Co-authorship network of co-authors of Joshua S. Weinger

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

All Works

9 of 9 papers shown
1.
Firestone, Ari J., Joshua S. Weinger, María Maldonado, et al.. (2012). Small-molecule inhibitors of the AAA+ ATPase motor cytoplasmic dynein. Nature. 484(7392). 125–129. 293 indexed citations
2.
Weinger, Joshua S., Minhua Qiu, Ge Yang, & Tarun M. Kapoor. (2011). A Nonmotor Microtubule Binding Site in Kinesin-5 Is Required for Filament Crosslinking and Sliding. Current Biology. 21(2). 154–160. 78 indexed citations
3.
Kapitein, Lukas C., Benjamin H. Kwok, Joshua S. Weinger, et al.. (2008). Microtubule cross-linking triggers the directional motility of kinesin-5. The Journal of Cell Biology. 182(3). 421–428. 111 indexed citations
4.
Weinger, Joshua S. & Scott A. Strobel. (2006). Exploring the mechanism of protein synthesis with modified substrates and novel intermediate mimics. Blood Cells Molecules and Diseases. 38(2). 110–116. 11 indexed citations
5.
Weinger, Joshua S. & Scott A. Strobel. (2006). Participation of the tRNA A76 Hydroxyl Groups throughout Translation. Biochemistry. 45(19). 5939–5948. 44 indexed citations
6.
Huang, Kevin S., Joshua S. Weinger, Ethan B. Butler, & Scott A. Strobel. (2006). Regiospecificity of the Peptidyl tRNA Ester within the Ribosomal P Site. Journal of the American Chemical Society. 128(10). 3108–3109. 24 indexed citations
7.
Weinger, Joshua S.. (2004). Solid phase synthesis and binding affinity of peptidyl transferase transition state mimics containing 2'-OH at P-site position A76. Nucleic Acids Research. 32(4). 1502–1511. 15 indexed citations
8.
Weinger, Joshua S., K. Mark Parnell, Silke Dorner, Rachel Green, & Scott A. Strobel. (2004). Substrate-assisted catalysis of peptide bond formation by the ribosome. Nature Structural & Molecular Biology. 11(11). 1101–1106. 220 indexed citations
9.
Weinger, Joshua S., et al.. (2002). Motifs of serine and threonine can drive association of transmembrane helices. Journal of Molecular Biology. 316(3). 799–805. 211 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026