Jesper Levring

925 total citations · 1 hit paper
8 papers, 613 citations indexed

About

Jesper Levring is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Jesper Levring has authored 8 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Molecular Biology and 1 paper in Oncology. Recurrent topics in Jesper Levring's work include Cystic Fibrosis Research Advances (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Nanoparticle-Based Drug Delivery (1 paper). Jesper Levring is often cited by papers focused on Cystic Fibrosis Research Advances (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Nanoparticle-Based Drug Delivery (1 paper). Jesper Levring collaborates with scholars based in United States, Germany and Ukraine. Jesper Levring's co-authors include Jue Chen, Roderick MacKinnon, Yusong R. Guo, Simon Scheuring, Atsushi Miyagi, Yi‐Chih Lin, Brian K. Shoichet, Anat Levit, Fangyu Liu and Kouki K Touhara and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jesper Levring

8 papers receiving 605 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.

Force-induced conformational changes in PIEZO1

2019 290 citations Yi‐Chih Lin, Yusong R. Guo 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
Jesper Levring United States	8	328	242	200	91	83	8	613
Jessica L. Symons United States	7	327 1.0×	104 0.4×	47 0.2×	27 0.3×	49 0.6×	14	526
Laura Stransky United States	7	515 1.6×	74 0.3×	60 0.3×	47 0.5×	75 0.9×	8	727
Rhea P. Hudson Canada	7	389 1.2×	286 1.2×	13 0.1×	61 0.7×	46 0.6×	8	555
Patrick L. Williamson United States	8	416 1.3×	37 0.2×	157 0.8×	27 0.3×	88 1.1×	9	651
Erik van Dijk Netherlands	11	244 0.7×	27 0.1×	31 0.2×	74 0.8×	30 0.4×	23	448
Justin D. Walter United States	7	202 0.6×	91 0.4×	22 0.1×	115 1.3×	13 0.2×	13	432
Joanne C. Cheung Canada	11	251 0.8×	84 0.3×	66 0.3×	42 0.5×	37 0.4×	11	343
Sylwia Huber Switzerland	13	451 1.4×	23 0.1×	56 0.3×	48 0.5×	44 0.5×	22	747
Darragh P. O’Brien United Kingdom	13	310 0.9×	29 0.1×	74 0.4×	131 1.4×	44 0.5×	26	560
F.H. Kirkpatrick United States	11	233 0.7×	141 0.6×	288 1.4×	15 0.2×	108 1.3×	19	531

Countries citing papers authored by Jesper Levring

Since Specialization

Citations

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

Fields of papers citing papers by Jesper Levring

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jesper Levring

This figure shows the co-authorship network connecting the top 25 collaborators of Jesper Levring. A scholar is included among the top collaborators of Jesper Levring 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 Jesper Levring. Jesper Levring 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:

8 of 8 papers shown

1.

Liu, Fangyu, Anat Levit, Jesper Levring, et al.. (2024). Structure-based discovery of CFTR potentiators and inhibitors. Cell. 187(14). 3712–3725.e34. 10 indexed citations

2.

Levring, Jesper & Jue Chen. (2024). Structural identification of a selectivity filter in CFTR. Proceedings of the National Academy of Sciences. 121(9). e2316673121–e2316673121. 7 indexed citations

3.

Young, Paul, Jesper Levring, Karol Fiedorczuk, Scott C. Blanchard, & Jue Chen. (2024). Structural basis for CFTR inhibition by CFTR _inh -172. Proceedings of the National Academy of Sciences. 121(10). e2316675121–e2316675121. 13 indexed citations

4.

Levring, Jesper, et al.. (2023). CFTR function, pathology and pharmacology at single-molecule resolution. Nature. 616(7957). 606–614. 46 indexed citations

5.

Wang, Ling, Z.L. Johnson, Michael Wasserman, et al.. (2020). Characterization of the kinetic cycle of an ABC transporter by single-molecule and cryo-EM analyses. eLife. 9. 64 indexed citations

6.

Lin, Yi‐Chih, Yusong R. Guo, Atsushi Miyagi, et al.. (2019). Force-induced conformational changes in PIEZO1. Nature. 573(7773). 230–234. 290 indexed citations breakdown →

7.

Liu, Fangyu, Zhe Zhang, Anat Levit, et al.. (2019). Structural identification of a hotspot on CFTR for potentiation. Science. 364(6446). 1184–1188. 175 indexed citations

8.

Alcock, Felicity, et al.. (2017). In vivo experiments do not support the charge zipper model for Tat translocase assembly. eLife. 6. 8 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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