Sven H. Giese

685 total citations
14 papers, 392 citations indexed

About

Sven H. Giese is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Sven H. Giese has authored 14 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Spectroscopy and 1 paper in Infectious Diseases. Recurrent topics in Sven H. Giese's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Sven H. Giese is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (9 papers) and Metabolomics and Mass Spectrometry Studies (6 papers). Sven H. Giese collaborates with scholars based in Germany, United Kingdom and United States. Sven H. Giese's co-authors include Juri Rappsilber, Lutz Fischer, Adam Belsom, Ludwig Sinn, Wolfgang Baumeister, Colin Combe, Marta Barbon, Markus R. Eisele, Michael Bohlke‐Schneider and Christian Speck and has published in prestigious journals such as Nature Communications, Bioinformatics and Analytical Chemistry.

In The Last Decade

Sven H. Giese

14 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sven H. Giese Germany 10 298 222 56 46 17 14 392
Colin Combe United Kingdom 7 411 1.4× 156 0.7× 59 1.1× 43 0.9× 29 1.7× 11 478
Lolita Piersimoni Germany 9 275 0.9× 146 0.7× 37 0.7× 41 0.9× 34 2.0× 11 395
Salman Tahir France 2 254 0.9× 145 0.7× 35 0.6× 61 1.3× 20 1.2× 4 325
Zhen-Lin Chen China 5 287 1.0× 106 0.5× 55 1.0× 28 0.6× 30 1.8× 6 385
Mathias Q. Müller Germany 11 416 1.4× 413 1.9× 54 1.0× 55 1.2× 13 0.8× 13 650
Matthew T. Mazur United States 9 265 0.9× 198 0.9× 28 0.5× 23 0.5× 25 1.5× 15 391
Ilan E. Chemmama United States 10 433 1.5× 124 0.6× 111 2.0× 77 1.7× 28 1.6× 15 522
Markus Böesche Germany 7 419 1.4× 307 1.4× 49 0.9× 15 0.3× 26 1.5× 9 517
Joseph D. Eschweiler United States 12 367 1.2× 295 1.3× 31 0.6× 55 1.2× 11 0.6× 14 526
Kyle M. Burns Canada 6 197 0.7× 180 0.8× 39 0.7× 34 0.7× 11 0.6× 6 318

Countries citing papers authored by Sven H. Giese

Since Specialization
Citations

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

Fields of papers citing papers by Sven H. Giese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven H. Giese. 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 Sven H. Giese. The network helps show where Sven H. Giese may publish in the future.

Co-authorship network of co-authors of Sven H. Giese

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

All Works

14 of 14 papers shown
1.
Giese, Sven H., et al.. (2022). Ad hoc learning of peptide fragmentation from mass spectra enables an interpretable detection of phosphorylated and cross-linked peptides. Nature Machine Intelligence. 4(4). 378–388. 10 indexed citations
2.
Miranda, Fábio Malcher, Martin Hölzer, Sebastian Beyvers, et al.. (2022). CovRadar: continuously tracking and filtering SARS-CoV-2 mutations for genomic surveillance. Bioinformatics. 38(17). 4223–4225. 6 indexed citations
3.
Sinn, Ludwig, Sven H. Giese, Marchel Stuiver, & Juri Rappsilber. (2022). Leveraging Parameter Dependencies in High-Field Asymmetric Waveform Ion-Mobility Spectrometry and Size Exclusion Chromatography for Proteome-wide Cross-Linking Mass Spectrometry. Analytical Chemistry. 94(11). 4627–4634. 12 indexed citations
4.
Giese, Sven H., et al.. (2021). Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry. Nature Communications. 12(1). 3237–3237. 29 indexed citations
5.
Mendes, Marta, Lutz Fischer, Zhuo A. Chen, et al.. (2019). An integrated workflow for crosslinking mass spectrometry. Molecular Systems Biology. 15(9). e8994–e8994. 142 indexed citations
6.
Giese, Sven H., Adam Belsom, Ludwig Sinn, Lutz Fischer, & Juri Rappsilber. (2019). Noncovalently Associated Peptides Observed during Liquid Chromatography-Mass Spectrometry and Their Effect on Cross-Link Analyses. Analytical Chemistry. 91(4). 2678–2685. 20 indexed citations
7.
Giese, Sven H., Yasushi Ishihama, & Juri Rappsilber. (2018). Peptide Retention in Hydrophilic Strong Anion Exchange Chromatography Is Driven by Charged and Aromatic Residues. Analytical Chemistry. 90(7). 4635–4640. 14 indexed citations
8.
Lenz, Swantje, Sven H. Giese, Lutz Fischer, & Juri Rappsilber. (2018). In-Search Assignment of Monoisotopic Peaks Improves the Identification of Cross-Linked Peptides. Journal of Proteome Research. 17(11). 3923–3931. 33 indexed citations
9.
Karayel, Özge, Sven H. Giese, Ayşe Nur Polat, et al.. (2018). Comparative phosphoproteomic analysis reveals signaling networks regulating monopolar and bipolar cytokinesis. Scientific Reports. 8(1). 2269–2269. 6 indexed citations
10.
Belsom, Adam, Gemma Mudd, Sven H. Giese, Manfred Auer, & Juri Rappsilber. (2017). Complementary Benzophenone Cross-Linking/Mass Spectrometry Photochemistry. Analytical Chemistry. 89(10). 5319–5324. 26 indexed citations
11.
Giese, Sven H., Adam Belsom, & Juri Rappsilber. (2016). Optimized Fragmentation Regime for Diazirine Photo-Cross-Linked Peptides. Analytical Chemistry. 88(16). 8239–8247. 25 indexed citations
12.
Giese, Sven H., et al.. (2015). Detection of Unknown Amino Acid Substitutions Using Error-Tolerant Database Search. Methods in molecular biology. 1362. 247–264. 4 indexed citations
13.
Giese, Sven H., Lutz Fischer, & Juri Rappsilber. (2015). A Study into the Collision-induced Dissociation (CID) Behavior of Cross-Linked Peptides. Molecular & Cellular Proteomics. 15(3). 1094–1104. 58 indexed citations
14.
Giese, Sven H., et al.. (2013). Specificity control for read alignments using an artificial reference genome-guided false discovery rate. Bioinformatics. 30(1). 9–16. 7 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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