Ole Vorm

13.2k total citations · 3 hit papers
23 papers, 11.2k citations indexed

About

Ole Vorm is a scholar working on Spectroscopy, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Ole Vorm has authored 23 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Spectroscopy, 15 papers in Molecular Biology and 2 papers in Materials Chemistry. Recurrent topics in Ole Vorm's work include Mass Spectrometry Techniques and Applications (19 papers), Advanced Proteomics Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Ole Vorm is often cited by papers focused on Mass Spectrometry Techniques and Applications (19 papers), Advanced Proteomics Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Ole Vorm collaborates with scholars based in Germany, Denmark and France. Ole Vorm's co-authors include Matthias Mann, Matthias Wilm, Andrej Shevchenko, Peter Roepstorff, Ole N. Jensen, Peter Mortensen, Alexandre V. Podtelejnikov, Francis Sagliocco, Hélian Boucherie and Andriy Shevchenko and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

Ole Vorm

23 papers receiving 11.0k 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.

Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels

1996 7.9k citations Andrej Shevchenko, Matthias Wilm et al. Analytical Chemistry profile →
Linking genome and proteome by mass spectrometry: Large-scale identification of yeast proteins from two dimensional gels

1996 1.2k citations Ole N. Jensen, Alexandre V. Podtelejnikov et al. profile →
Improved Resolution and Very High Sensitivity in MALDI TOF of Matrix Surfaces Made by Fast Evaporation

1994 575 citations Ole Vorm, Peter Roepstorff et al. Analytical Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ole Vorm Germany	16	7.1k	3.3k	1.1k	944	843	23	11.2k
Thierry Rabilloud France	50	6.2k 0.9×	2.8k 0.9×	734 0.6×	753 0.8×	680 0.8×	181	9.9k
Martin R. Larsen Denmark	59	8.4k 1.2×	4.0k 1.2×	1.2k 1.1×	773 0.8×	882 1.0×	260	13.0k
Alexandre Zougman United Kingdom	24	6.2k 0.9×	2.1k 0.7×	827 0.7×	767 0.8×	763 0.9×	36	9.3k
David L. Tabb United States	44	8.6k 1.2×	5.1k 1.6×	845 0.7×	530 0.6×	829 1.0×	112	12.2k
Andrew J. Link United States	40	6.9k 1.0×	2.2k 0.7×	817 0.7×	695 0.7×	692 0.8×	110	9.3k
Keith L. Williams Australia	42	8.0k 1.1×	2.2k 0.7×	1.5k 1.3×	1.7k 1.8×	1.3k 1.6×	144	12.6k
Jüergen Cox Germany	31	8.2k 1.2×	4.3k 1.3×	990 0.9×	495 0.5×	716 0.8×	37	11.2k
Peter Højrup Denmark	54	7.1k 1.0×	2.3k 0.7×	945 0.8×	524 0.6×	977 1.2×	229	12.2k
Dirk Wolters Germany	32	6.3k 0.9×	4.2k 1.3×	734 0.6×	553 0.6×	649 0.8×	66	9.5k
Stefka Tyanova Germany	17	7.7k 1.1×	2.2k 0.7×	1.5k 1.3×	798 0.8×	1.1k 1.3×	25	11.8k

Countries citing papers authored by Ole Vorm

Since Specialization

Citations

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

Fields of papers citing papers by Ole Vorm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ole Vorm

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

20 of 20 papers shown

Bache, Nicolai, Philipp E. Geyer, Dorte B. Bekker‐Jensen, et al.. (2018). A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics. Molecular & Cellular Proteomics. 17(11). 2284–2296. 255 indexed citations

Falkenby, Lasse Gaarde, et al.. (2014). Integrated Solid-Phase Extraction–Capillary Liquid Chromatography (speLC) Interfaced to ESI–MS/MS for Fast Characterization and Quantification of Protein and Proteomes. Journal of Proteome Research. 13(12). 6169–6175. 18 indexed citations

Lamond, Angus I., Mathias Uhlén, Stevan Horning, et al.. (2012). Advancing Cell Biology Through Proteomics in Space and Time (PROSPECTS). Molecular & Cellular Proteomics. 11(3). O112.017731–O112.017731. 49 indexed citations

Nagaraj, Nagarjuna, Nils A. Kulak, Jüergen Cox, et al.. (2011). System-wide Perturbation Analysis with Nearly Complete Coverage of the Yeast Proteome by Single-shot Ultra HPLC Runs on a Bench Top Orbitrap. Molecular & Cellular Proteomics. 11(3). M111.013722–M111.013722. 328 indexed citations

Taylor, Paul, Peter Nielsen, Morten Beck Trelle, et al.. (2009). Automated 2D Peptide Separation on a 1D Nano-LC-MS System. Journal of Proteome Research. 8(3). 1610–1616. 55 indexed citations

Hørning, Ole B., et al.. (2008). Isocratic Solid Phase Extraction-Liquid Chromatography (SPE-LC) Interfaced to High-Performance Tandem Mass Spectrometry for Rapid Protein Identification. Journal of Proteome Research. 7(8). 3159–3167. 7 indexed citations

Thiele, Herbert, et al.. (2007). P7-S Combining Workflow-Based Project Organization with Protein-Dependant Data Retrieval for the Retrieval of Extensive Proteome Information. PubMed Central. 18(1). 3–3. 8 indexed citations

Hørning, Ole B., et al.. (2007). Solid phase extraction-liquid chromatography (SPE-LC) interface for automated peptide separation and identification by tandem mass spectrometry. International Journal of Mass Spectrometry. 268(2-3). 147–157. 11 indexed citations

Kriajevska, Marina, Ejvind Moertz, Ole Vorm, et al.. (2002). Liprin β1, a Member of the Family of LAR Transmembrane Tyrosine Phosphatase-interacting Proteins, Is a New Target for the Metastasis-associated Protein S100A4 (Mts1). Journal of Biological Chemistry. 277(7). 5229–5235. 112 indexed citations

10.

Peter, Jochen, Carlo Unverzagt, Thomas N. Krogh, Ole Vorm, & Wolfgang Hoesel. (2001). Identification of precursor forms of free prostate-specific antigen in serum of prostate cancer patients by immunosorption and mass spectrometry.. PubMed. 61(3). 957–62. 91 indexed citations

11.

Vorm, Ole, et al.. (2000). Protein-interaction mapping for functional proteomics. Trends in biotechnology. 18. 43–47. 2 indexed citations

12.

Jensen, Ole N., Peter Mortensen, Ole Vorm, & Matthias Mann. (1997). Automation of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Using Fuzzy Logic Feedback Control. Analytical Chemistry. 69(9). 1706–1714. 64 indexed citations

13.

Shevchenko, Andrej, Matthias Wilm, Ole Vorm, & Matthias Mann. (1996). Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels. Analytical Chemistry. 68(5). 850–858. 7873 indexed citations breakdown →

14.

Wilm, Matthias, Ole Vorm, Ole N. Jensen, et al.. (1996). A strategy for identifying gel-separated proteins in sequence databases by MS alone. Biochemical Society Transactions. 24(3). 893–896. 201 indexed citations

15.

Jensen, Ole N., Ole Vorm, & Matthias Mann. (1996). Sequence patterns produced by incomplete enzymatic digestion or one‐step Edman degradation of peptide mixtures as probes for protein database searches. Electrophoresis. 17(5). 938–944. 39 indexed citations

16.

Vorm, Ole & Peter Roepstorff. (1994). Peptide sequence information derived by partial acid hydrolysis and matrix-assisted laser desorption/ionization mass spectrometry. Journal of Mass Spectrometry. 23(12). 734–740. 47 indexed citations

17.

Mørtz, Ejvind, Ole Vorm, Matthias Mann, & Peter Roepstorff. (1994). Identification of proteins in polyacrylamide gels by mass spectrometric peptide mapping combined with database search. Journal of Mass Spectrometry. 23(5). 249–261. 141 indexed citations

18.

Vorm, Ole & Matthias Mann. (1994). Improved mass accuracy in matrix-assisted laser desorption/ionization time-of-flight mass spectrometry of peptides. Journal of the American Society for Mass Spectrometry. 5(11). 955–958. 116 indexed citations

19.

Christensen, Hans E. M., et al.. (1992). Synthesis and characterization of a 25‐residue rubredoxin(II)‐like metalloprotein and its valine‐leucine mutant. FEBS Letters. 312(2-3). 219–222. 4 indexed citations

20.

Roepstorff, Peter, Klaus Klarskov, Jens Andersen, et al.. (1991). Mass spectrometry of proteins: studies of parvalbumins by plasma desorption, laser desorption and electrospray mass spectrometry. International Journal of Mass Spectrometry and Ion Processes. 111. 151–172. 9 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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