Jamie LeBarron

445 total citations
9 papers, 342 citations indexed

About

Jamie LeBarron is a scholar working on Molecular Biology, Organic Chemistry and Structural Biology. According to data from OpenAlex, Jamie LeBarron has authored 9 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Structural Biology. Recurrent topics in Jamie LeBarron's work include RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). Jamie LeBarron is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA modifications and cancer (2 papers). Jamie LeBarron collaborates with scholars based in United States, Germany and Denmark. Jamie LeBarron's co-authors include Joachim Frank, Tanvir R. Shaikh, William T. Baxter, Erwin London, Jayati Sengupta, Robert A. Grassucci, Måns Ehrenberg, Elizabeth Villa, Poul Nissen and Klaus Schulten and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Langmuir.

In The Last Decade

Jamie LeBarron

9 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie LeBarron United States 7 291 67 58 35 32 9 342
Ieva Drulyte Netherlands 7 159 0.5× 94 1.4× 17 0.3× 33 0.9× 41 1.3× 14 292
Daniel Mann Germany 11 239 0.8× 39 0.6× 32 0.6× 68 1.9× 23 0.7× 16 324
Robert K. Louder United States 10 452 1.6× 33 0.5× 44 0.8× 25 0.7× 14 0.4× 14 538
Arkadiusz W. Kulczyk United States 13 435 1.5× 56 0.8× 163 2.8× 38 1.1× 17 0.5× 27 547
Parijat Majumder India 9 180 0.6× 30 0.4× 14 0.2× 26 0.7× 14 0.4× 12 247
Herman K.H. Fung Germany 9 258 0.9× 55 0.8× 17 0.3× 33 0.9× 21 0.7× 14 358
Rodrigo Cuevas Arenas Germany 5 294 1.0× 27 0.4× 14 0.2× 20 0.6× 14 0.4× 6 351
Kiarash Jamali United Kingdom 3 219 0.8× 55 0.8× 32 0.6× 41 1.2× 14 0.4× 5 352
Xiangyan Zeng United States 8 243 0.8× 146 2.2× 28 0.5× 114 3.3× 43 1.3× 11 368
Urmila Rawat India 10 923 3.2× 66 1.0× 233 4.0× 91 2.6× 23 0.7× 13 975

Countries citing papers authored by Jamie LeBarron

Since Specialization
Citations

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

Fields of papers citing papers by Jamie LeBarron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamie LeBarron

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie LeBarron. A scholar is included among the top collaborators of Jamie LeBarron 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 Jamie LeBarron. Jamie LeBarron 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.
Chang, Denis, Phi Luong, Qian Li, et al.. (2021). Small-molecule modulators of INAVA cytosolic condensate and cell–cell junction assemblies. The Journal of Cell Biology. 220(9). 8 indexed citations
2.
LeBarron, Jamie & Erwin London. (2016). Effect of lipid composition and amino acid sequence upon transmembrane peptide-accelerated lipid transleaflet diffusion (flip-flop). Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(8). 1812–1820. 24 indexed citations
3.
LeBarron, Jamie & Erwin London. (2016). Highly Hydrophilic Segments Attached to Hydrophobic Peptides Translocate Rapidly across Membranes. Langmuir. 32(41). 10752–10760. 5 indexed citations
4.
Haltiwanger, Robert S., Hongjun Yu, Megumi Takeuchi, et al.. (2016). Regulation of Notch signaling by O ‐glucosylation: Notch‐modifying xylosyltransferase‐substrate complexes support an S N i‐like retaining mechanism. The FASEB Journal. 30(S1). 1 indexed citations
5.
Yu, Hongjun, Megumi Takeuchi, Jamie LeBarron, et al.. (2015). Notch-modifying xylosyltransferase structures support an SNi-like retaining mechanism. Nature Chemical Biology. 11(11). 847–854. 58 indexed citations
6.
Villa, Elizabeth, Jayati Sengupta, Leonardo G. Trabuco, et al.. (2009). Ribosome-induced changes in elongation factor Tu conformation control GTP hydrolysis. Proceedings of the National Academy of Sciences. 106(4). 1063–1068. 181 indexed citations
7.
Shaikh, Tanvir R., Ramón Trujillo, Jamie LeBarron, William T. Baxter, & Joachim Frank. (2008). Particle-verification for single-particle, reference-based reconstruction using multivariate data analysis and classification. Journal of Structural Biology. 164(1). 41–48. 33 indexed citations
8.
LeBarron, Jamie, Robert A. Grassucci, Tanvir R. Shaikh, et al.. (2008). Exploration of parameters in cryo-EM leading to an improved density map of the E. coli ribosome. Journal of Structural Biology. 164(1). 24–32. 26 indexed citations
9.
LeBarron, Jamie, Kakoli Mitra, & Joachim Frank. (2006). Displaying 3D data on RNA secondary structures: coloRNA. Journal of Structural Biology. 157(1). 262–270. 6 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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