Sebastian Gibb

1.3k total citations · 1 hit paper
18 papers, 763 citations indexed

About

Sebastian Gibb is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Sebastian Gibb has authored 18 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Spectroscopy and 3 papers in Artificial Intelligence. Recurrent topics in Sebastian Gibb's work include Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Sebastian Gibb is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Advanced Proteomics Techniques and Applications (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). Sebastian Gibb collaborates with scholars based in Germany, United Kingdom and Italy. Sebastian Gibb's co-authors include Korbinian Strimmer, Laurent Gatto, Johannes Rainer, Thomas Naake, Lisa M. Breckels, Vinicius Verri Hernandes, Jan Stanstrup, Michael A. Stravs, Steffen Neumann and Michael Witting and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Clinical Chemistry.

In The Last Decade

Sebastian Gibb

14 papers receiving 756 citations

Hit Papers

1 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.

MALDIquant: a versatile R package for the analysis of mass spectrometry data

2012 484 citations Sebastian Gibb, Korbinian Strimmer Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sebastian Gibb Germany	8	449	268	149	76	73	18	763
Simon J. S. Cameron United Kingdom	21	620 1.4×	189 0.7×	71 0.5×	79 1.0×	129 1.8×	35	1.0k
Laure Marvin France	11	588 1.3×	162 0.6×	97 0.7×	43 0.6×	52 0.7×	19	1.1k
Jonathan L. Bundy United States	16	635 1.4×	695 2.6×	159 1.1×	136 1.8×	51 0.7×	20	1.1k
T. McKenna United Kingdom	9	534 1.2×	384 1.4×	182 1.2×	69 0.9×	17 0.2×	14	912
Lene Jakobsen Denmark	10	574 1.3×	329 1.2×	29 0.2×	49 0.6×	37 0.5×	13	1.0k
Bart Mesuere Belgium	15	574 1.3×	281 1.0×	31 0.2×	29 0.4×	128 1.8×	36	799
Sandra L. McCutchen‐Maloney United States	16	569 1.3×	291 1.1×	26 0.2×	35 0.5×	35 0.5×	23	812
Karen L. Wahl United States	18	526 1.2×	276 1.0×	714 4.8×	237 3.1×	70 1.0×	47	1.3k
Kyung‐Hoon Kwon South Korea	13	665 1.5×	137 0.5×	15 0.1×	81 1.1×	101 1.4×	37	1.1k

Countries citing papers authored by Sebastian Gibb

Since Specialization

Citations

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

Fields of papers citing papers by Sebastian Gibb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Gibb

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

All Works

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18 of 18 papers shown

Rainer, Johannes, et al.. (2026). An Open Infrastructure for Mass Spectrometry Data in R.

Gibb, Sebastian, Carsten Hermes, Uwe Janssens, et al.. (2024). Zusammenfassung der S1-Leitlinie Nachhaltigkeit in der Intensiv- und Notfallmedizin. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 120(1). 37–43.

Gibb, Sebastian, Martin Schuster, & Linda Grüßer. (2024). Volatile capture technology in the operating room: How does it work, what are the technical limitations and what does it mean for clinical practice?. Best Practice & Research Clinical Anaesthesiology. 38(4). 349–358.

Schmidt, Maria, Christoph Lübbert, Matthias Nauck, et al.. (2024). Applying Machine Learning to Blood Count Data Predicts Sepsis with ICU Admission. Clinical Chemistry. 70(3). 506–515. 14 indexed citations

Gibb, Sebastian, et al.. (2024). Incidence and onset of central venous catheter-related thrombosis in critically ill surgical patients: A prospective observational single-center study. Journal of Clinical Anesthesia. 97. 111556–111556. 6 indexed citations

Gibb, Sebastian, Thomas Berg, Adam Herber, Berend Isermann, & Thorsten Kaiser. (2023). A new machine-learning-based prediction of survival in patients with end-stage liver disease. Journal of Laboratory Medicine. 47(1). 13–21. 3 indexed citations

Shliaha, Pavel V., et al.. (2022). Effective Amino Acid Sequencing of Intact Filgrastim by Multimodal Mass Spectrometry with Topdownr. Journal of the American Society for Mass Spectrometry. 33(11). 2087–2093. 2 indexed citations

Rainer, Johannes, Jan Stanstrup, Steffen Neumann, et al.. (2022). A Modular and Expandable Ecosystem for Metabolomics Data Annotation in R. Metabolites. 12(2). 173–173. 66 indexed citations

Rainer, Johannes, Sebastian Gibb, & Laurent Gatto. (2020). Spectra: a Scalable and Flexible Infrastructure for Mass Spectrometry Data Analysis in R. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

10.

Gatto, Laurent, Sebastian Gibb, & Johannes Rainer. (2020). MSnbase, Efficient and Elegant R-Based Processing and Visualization of Raw Mass Spectrometry Data. Journal of Proteome Research. 20(1). 1063–1069. 77 indexed citations

11.

Shliaha, Pavel V., Sebastian Gibb, Vladimir Gorshkov, et al.. (2018). Maximizing Sequence Coverage in Top-Down Proteomics By Automated Multimodal Gas-Phase Protein Fragmentation. Analytical Chemistry. 90(21). 12519–12526. 24 indexed citations

12.

Gibb, Sebastian. (2017). Reads Mass Spectrometry Data in Bruker *flex Format [R package readBrukerFlexData version 1.8.5].

13.

Gibb, Sebastian & Korbinian Strimmer. (2015). Differential protein expression and peak selection in mass spectrometry data by binary discriminant analysis. Bioinformatics. 31(19). 3156–3162. 24 indexed citations

14.

Gibb, Sebastian. (2015). Reads Mass Spectrometry Data in mzXML Format [R package readMzXmlData version 2.8.1]. 1 indexed citations

15.

Gatto, Laurent, Lisa M. Breckels, Thomas Naake, & Sebastian Gibb. (2015). Visualization of proteomics data using R and Bioconductor. PROTEOMICS. 15(8). 1375–1389. 44 indexed citations

16.

Gibb, Sebastian, Stefan Kalkhof, Uriel Arroyo‐Abad, et al.. (2014). Species determination of Culicoides biting midges via peptide profiling using matrix-assisted laser desorption ionization mass spectrometry. Parasites & Vectors. 7(1). 392–392. 16 indexed citations

17.

Gibb, Sebastian, Stefan Kalkhof, Uriel Arroyo‐Abad, et al.. (2013). Dataset used in "Species determination of Culicoides biting midges via peptide profiling using matrix-assisted laser desorption ionization mass spectrometry". Figshare. 1 indexed citations

18.

Gibb, Sebastian & Korbinian Strimmer. (2012). MALDIquant: a versatile R package for the analysis of mass spectrometry data. Bioinformatics. 28(17). 2270–2271. 484 indexed citations breakdown →

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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