Ole B. Hørning

495 total citations · 1 hit paper
8 papers, 361 citations indexed

About

Ole B. Hørning is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, Ole B. Hørning has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Spectroscopy and 1 paper in Cell Biology. Recurrent topics in Ole B. Hørning's work include Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ole B. Hørning is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Mass Spectrometry Techniques and Applications (4 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Ole B. Hørning collaborates with scholars based in Denmark, Sweden and Czechia. Ole B. Hørning's co-authors include Ole N. Jensen, Emma J. McGhie, Peter Hume, Tao Liu, Daniel Humphreys, Vassilis Koronakis, Ole Vorm, Ottar Sundheim, Hans E. Krokan and Lars Hagen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Nature Methods.

In The Last Decade

Ole B. Hørning

8 papers receiving 357 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.

Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics

2025 22 citations Zilu Ye, Pierre Sabatier et al. Nature Methods profile →

Peers

Countries citing papers authored by Ole B. Hørning

Since Specialization

Citations

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

Fields of papers citing papers by Ole B. Hørning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ole B. Hørning. 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 Ole B. Hørning. The network helps show where Ole B. Hørning may publish in the future.

Co-authorship network of co-authors of Ole B. Hørning

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

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Enhanced sensitivity and scalability with a Chip-Tip workflow enables deep single-cell proteomics breakdown → 2025 ·Nature Methods ·Zilu Ye, Pierre Sabatier, (unknown), (unknown), (unknown), Ulises H. Guzmán, Zhen Liu, (unknown), Min Huang, Xiangjun Li, (unknown), (unknown), Anjali Seth, Hiren J. Joshi, Sergey Rodin, Karl‐Henrik Grinnemo, Ole B. Hørning, Dorte B. Bekker‐Jensen, Nicolai Bache, Jesper V. Olsen	22
2	WAVE regulatory complex activation by cooperating GTPases Arf and Rac1 2011 ·Proceedings of the National Academy of Sciences ·Vassilis Koronakis, Peter Hume, Daniel Humphreys, Tao Liu, Ole B. Hørning, Ole N. Jensen, Emma J. McGhie	106
3	Automated 2D Peptide Separation on a 1D Nano-LC-MS System 2009 ·Journal of Proteome Research ·Paul Taylor, Peter Nielsen, Morten Beck Trelle, Ole B. Hørning, (unknown), Ole Vorm, Michael F. Moran, Thomas Kislinger	55
4	Isocratic Solid Phase Extraction-Liquid Chromatography (SPE-LC) Interfaced to High-Performance Tandem Mass Spectrometry for Rapid Protein Identification 2008 ·Journal of Proteome Research ·Ole B. Hørning, Frank Kjeldsen, (unknown), Ole Vorm, Ole N. Jensen	7
5	Towards liquid chromatography time-scale peptide sequencing and characterization of post-translational modifications in the negative-ion mode using electron detachment dissociation tandem mass spectrometry 2008 ·Journal of the American Society for Mass Spectrometry ·Frank Kjeldsen, Ole B. Hørning, Søren Skov Jensen, Anders M. B. Giessing, Ole N. Jensen	20
6	Cell cycle-specific UNG2 phosphorylations regulate protein turnover, activity and association with RPA 2007 ·The EMBO Journal ·Lars Hagen, Bodil Kavli, Mirta Mittelstedt Leal de Sousa, (unknown), Nina‐Beate Liabakk, Ottar Sundheim, Javier Peña-Dı́az, Marit Otterlei, Ole B. Hørning, Ole N. Jensen, Hans E. Krokan, Geir Slupphaug	112
7	A proteomic approach to studying the differentiation of neural stem cells 2007 ·PROTEOMICS ·Helena Kupcová Skalníková, Petr Halada, Petr Vodička, Jan Motlík, Pavel Řehulka, Ole B. Hørning, Josef Chmelı́k, Ole N. Jensen, Hana Kovářová	28
8	Solid phase extraction-liquid chromatography (SPE-LC) interface for automated peptide separation and identification by tandem mass spectrometry 2007 ·International Journal of Mass Spectrometry ·Ole B. Hørning, (unknown), Ole Vorm, Ole N. Jensen	11

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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