Oliver Kohlbacher

27.4k total citations · 3 hit papers
268 papers, 12.1k citations indexed

About

Oliver Kohlbacher is a scholar working on Molecular Biology, Spectroscopy and Information Systems and Management. According to data from OpenAlex, Oliver Kohlbacher has authored 268 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Molecular Biology, 68 papers in Spectroscopy and 31 papers in Information Systems and Management. Recurrent topics in Oliver Kohlbacher's work include Advanced Proteomics Techniques and Applications (59 papers), Mass Spectrometry Techniques and Applications (42 papers) and Metabolomics and Mass Spectrometry Studies (40 papers). Oliver Kohlbacher is often cited by papers focused on Advanced Proteomics Techniques and Applications (59 papers), Mass Spectrometry Techniques and Applications (42 papers) and Metabolomics and Mass Spectrometry Studies (40 papers). Oliver Kohlbacher collaborates with scholars based in Germany, United States and United Kingdom. Oliver Kohlbacher's co-authors include Sebastian Briesemeister, Knut Reinert, Torsten Blum, Marc Sturm, Pierre Dönnes, Andreas Hildebrandt, Hans‐Peter Lenhof, Clemens Gröpl, Nico Pfeifer and Benjamin Schubert and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Oliver Kohlbacher

262 papers receiving 11.9k citations

Hit Papers

Charting a dynamic DNA me... 2008 2026 2014 2020 2013 2008 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Kohlbacher Germany 56 8.7k 2.4k 1.1k 876 752 268 12.1k
Shankar Subramaniam United States 61 11.6k 1.3× 2.2k 0.9× 1.7k 1.5× 507 0.6× 1.0k 1.3× 221 16.6k
Henning Hermjakob United Kingdom 54 12.8k 1.5× 4.3k 1.8× 1.1k 1.0× 945 1.1× 1.2k 1.6× 213 17.4k
Robert Powers United States 52 7.1k 0.8× 1.2k 0.5× 602 0.5× 563 0.6× 716 1.0× 263 10.6k
Sunhwan Jo United States 34 12.6k 1.4× 1.1k 0.5× 767 0.7× 525 0.6× 999 1.3× 69 17.0k
Bernhard Küster Germany 74 15.0k 1.7× 6.8k 2.8× 1.2k 1.0× 1.1k 1.2× 843 1.1× 280 20.2k
Yu Chen China 69 10.0k 1.2× 1.1k 0.5× 567 0.5× 626 0.7× 485 0.6× 455 17.6k
Ross C. Walker United States 39 9.7k 1.1× 1.2k 0.5× 558 0.5× 392 0.4× 517 0.7× 77 13.6k
Haruki Nakamura Japan 63 11.5k 1.3× 1.3k 0.6× 1.0k 0.9× 832 0.9× 819 1.1× 472 15.7k
Feng Zhu China 58 8.5k 1.0× 729 0.3× 631 0.6× 401 0.5× 454 0.6× 291 13.3k
Alexey V. Onufriev United States 37 13.7k 1.6× 1.5k 0.6× 669 0.6× 567 0.6× 731 1.0× 100 19.0k

Countries citing papers authored by Oliver Kohlbacher

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Kohlbacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Kohlbacher

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

All Works

20 of 20 papers shown
1.
Kaulich, Philipp T., Kyowon Jeong, Ayako Takemori, et al.. (2025). Cysteine-Directed Isobaric Labeling Combined with GeLC-FAIMS-MS for Quantitative Top-Down Proteomics. Journal of Proteome Research. 24(3). 1470–1480. 2 indexed citations
2.
Kim, Jae‐Kwan, et al.. (2025). FLASHApp: Interactive Data Analysis and Visualization for Top‐Down Proteomics. PROTEOMICS. 25(24). 15–21. 1 indexed citations
3.
Kohlbacher, Oliver, et al.. (2024). CLAUDIO: automated structural analysis of cross-linking data. Bioinformatics. 40(4). 2 indexed citations
4.
Pfeuffer, Julianus, Hong Wang, Ping Zheng, et al.. (2024). quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data. Nature Methods. 21(9). 1603–1607. 26 indexed citations
5.
Sachsenberg, Timo, Lindsay K. Pino, Marie A. Brunet, et al.. (2024). Perspectives in computational mass spectrometry: recent developments and key challenges. Bioinformatics Advances. 5(1). vbaf301–vbaf301.
6.
Bouwmeester, Robbin, Luisa M. Welp, Aleksandar Chernev, et al.. (2024). Intensity and retention time prediction improves the rescoring of protein‐nucleic acid cross‐links. PROTEOMICS. 24(8). e2300144–e2300144. 2 indexed citations
7.
Hoffmann, Nils, Irena Maus, Sebastian Beier, et al.. (2023). Embedding the de.NBI Cloud in the National Research Data Infrastructure Activities. FreiDok plus (Universitätsbibliothek Freiburg). 1. 1 indexed citations
8.
Schüttler, J., Lorenz A. Kapsner, Susanne A. Seuchter, et al.. (2021). Studies on COVID-19 lethality: Causes and dynamics at German University Hospitals. 62. 244–257. 1 indexed citations
9.
Bandeira, Nuno, Eric W. Deutsch, Oliver Kohlbacher, Lennart Martens, & Juan Antonio Vizcaíno. (2021). Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future. Molecular & Cellular Proteomics. 20. 100071–100071. 26 indexed citations
10.
Andrews, Byron, Timo Sachsenberg, Helena Santos-Rosa, et al.. (2020). A computational platform for high-throughput analysis of RNA sequences and modifications by mass spectrometry. Nature Communications. 11(1). 926–926. 65 indexed citations
11.
Lübke, Maren, Daniel J. Kowalewski, Cosima Zimmermann, et al.. (2019). Identification of HCMV-derived T cell epitopes in seropositive individuals through viral deletion models. The Journal of Experimental Medicine. 217(3). 15 indexed citations
12.
Zhang, Lichao, et al.. (2019). Multiple Layers of Phospho-Regulation Coordinate Metabolism and the Cell Cycle in Budding Yeast. Frontiers in Cell and Developmental Biology. 7. 22 indexed citations
13.
Schneider, Lara, Tim Kehl, Nadja Grammes, et al.. (2019). ClinOmicsTrailbc: a visual analytics tool for breast cancer treatment stratification. Bioinformatics. 35(24). 5171–5181. 13 indexed citations
14.
Löffler, Markus, Daniel J. Kowalewski, Linus Backert, et al.. (2018). Mapping the HLA Ligandome of Colorectal Cancer Reveals an Imprint of Malignant Cell Transformation. Cancer Research. 78(16). 4627–4641. 36 indexed citations
15.
Karim, Md. Rezaul, Lukas Zimmermann, Toralf Kirsten, et al.. (2018). A Distributed Analytics Platform to Execute FHIR based Phenotyping Algorithms. 5 indexed citations
16.
Kenar, Erhan, Holger Franken, Rainer Lehmann, et al.. (2014). Metabolites from Liquid Chromatography-Mass Spectrometry Data. Molecular & Cellular Proteomics. 13(1). 1 indexed citations
17.
Briesemeister, Sebastian, Jörg Rahnenführer, & Oliver Kohlbacher. (2012). No Longer Confidential: Estimating the Confidence of Individual Regression Predictions. PLoS ONE. 7(11). e48723–e48723. 19 indexed citations
18.
Breuers, Sebastian, André Brinkmann, Dirk Blunk, et al.. (2010). Grid-Workflows in Molecular Science. International Journal of Sports Medicine. 42(11). 177–184. 4 indexed citations
19.
Blum, Torsten & Oliver Kohlbacher. (2007). Finding Relevant Biotransformation Routes in Weighted Metabolic Networks.. 30–44. 1 indexed citations
20.
Neumann, Dirk, et al.. (1998). Investigating the Sugar-Lectin Interaction by Computational Chemistry: Tunneling the Epithelial Barrier. Max Planck Institute for Plasma Physics. 1 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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