Julia Peukes

1.5k total citations · 1 hit paper
7 papers, 865 citations indexed

About

Julia Peukes is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Julia Peukes has authored 7 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Julia Peukes's work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and Virus-based gene therapy research (2 papers). Julia Peukes is often cited by papers focused on Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and Virus-based gene therapy research (2 papers). Julia Peukes collaborates with scholars based in United Kingdom, United States and Germany. Julia Peukes's co-authors include Xiaoli Xiong, John A. G. Briggs, Kun Qu, Hans‐Georg Kräusslich, Berati Cerikan, Vojtěch Žíla, Zunlong Ke, Takanori Nakane, Jasenko Zivanov and Sjors H. W. Scheres and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Virology.

In The Last Decade

Julia Peukes

7 papers receiving 854 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structures and distributions of SARS-CoV-2 spike proteins on intact virions

2020 740 citations Zunlong Ke, Joaquı́n Otón et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Peukes United Kingdom	6	604	318	114	103	100	7	865
Nayara Azevedo Germany	7	379 0.6×	290 0.9×	100 0.9×	83 0.8×	25 0.3×	10	628
Michael Gecht Germany	7	388 0.6×	357 1.1×	52 0.5×	92 0.9×	35 0.3×	8	668
Rory Henderson United States	9	697 1.2×	425 1.3×	53 0.5×	133 1.3×	57 0.6×	18	943
Florian E.C. Blanc Germany	8	385 0.6×	332 1.0×	45 0.4×	93 0.9×	33 0.3×	10	678
Berati Cerikan Germany	15	1.2k 1.9×	641 2.0×	179 1.6×	164 1.6×	127 1.3×	19	1.8k
Brandon Frenz United States	10	620 1.0×	422 1.3×	127 1.1×	124 1.2×	22 0.2×	11	1.1k
Cindy Hörner Germany	3	365 0.6×	192 0.6×	44 0.4×	72 0.7×	37 0.4×	4	499
Antoni G. Wrobel United Kingdom	17	1.0k 1.7×	669 2.1×	116 1.0×	120 1.2×	54 0.5×	25	1.6k
Sophie L. Winter Germany	7	398 0.7×	214 0.7×	69 0.6×	76 0.7×	29 0.3×	14	619
Moritz Wachsmuth-Melm Germany	5	400 0.7×	195 0.6×	58 0.5×	73 0.7×	29 0.3×	6	590

Countries citing papers authored by Julia Peukes

Since Specialization

Citations

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

Fields of papers citing papers by Julia Peukes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Peukes

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Ngo, Wayne, Julia Peukes, Zhiwei Xue, et al.. (2024). Mechanism-guided engineering of a minimal biological particle for genome editing. Proceedings of the National Academy of Sciences. 122(1). e2413519121–e2413519121. 8 indexed citations

2.

Peukes, Julia, Serge Dmitrieff, François Nédélec, & John A. G. Briggs. (2024). A physical model for M1-mediated influenza A virus assembly. Biophysical Journal. 124(1). 134–144. 1 indexed citations

3.

Peukes, Julia, Xiaoli Xiong, & John A. G. Briggs. (2021). New structural insights into the multifunctional influenza A matrix protein 1. FEBS Letters. 595(20). 2535–2543. 8 indexed citations

4.

Ke, Zunlong, Joaquı́n Otón, Kun Qu, et al.. (2020). Structures and distributions of SARS-CoV-2 spike proteins on intact virions. Nature. 588(7838). 498–502. 740 indexed citations breakdown →

5.

Peukes, Julia, Xiaoli Xiong, Simon Erlendsson, et al.. (2020). The native structure of the assembled matrix protein 1 of influenza A virus. Nature. 587(7834). 495–498. 62 indexed citations

6.

Zheng, Allen, Weina Sun, Xiaoli Xiong, et al.. (2020). Enhancing Neuraminidase Immunogenicity of Influenza A Viruses by Rewiring RNA Packaging Signals. Journal of Virology. 94(16). 17 indexed citations

7.

Peukes, Julia & Timo Betz. (2014). Direct Measurement of the Cortical Tension during the Growth of Membrane Blebs. Biophysical Journal. 107(8). 1810–1820. 29 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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