Tim T. Häbe

604 total citations
18 papers, 466 citations indexed

About

Tim T. Häbe is a scholar working on Spectroscopy, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Tim T. Häbe has authored 18 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Spectroscopy, 9 papers in Molecular Biology and 7 papers in Biomedical Engineering. Recurrent topics in Tim T. Häbe's work include Analytical Chemistry and Chromatography (12 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Tim T. Häbe is often cited by papers focused on Analytical Chemistry and Chromatography (12 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Tim T. Häbe collaborates with scholars based in Germany, Hungary and United States. Tim T. Häbe's co-authors include Gertrud E. Morlock, Péter G. Ott, Ágnes M. Móricz, Andrea Böszörményi, Martin Winter, Andreas H. Luippold, Wolfgang Reindl, Frank Büttner, Daniel Bischoff and Frank Runge and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Rapid Communications in Mass Spectrometry.

In The Last Decade

Tim T. Häbe

17 papers receiving 451 citations

Peers

Tim T. Häbe

SPECT

Behrooz Zekavat United States

Anna Hawrył Poland

Mirosław Hawrył Poland

Naiping Dong China

Domenica Mangraviti Italy

Tiziana Pacchiarotta Netherlands

Natalie Gerhardt Germany

Yanduo Tao China

Hua-Ying Zhou China

Jeong Hill Park South Korea

Behrooz Zekavat United States

Tim T. Häbe

171 ×0.7

SPECT

118 ×0.6

120 ×1.0

67 ×0.6

78 ×1.1

Citations per year, relative to Tim T. Häbe Tim T. Häbe (= 1×) peers Behrooz Zekavat

Countries citing papers authored by Tim T. Häbe

Since Specialization

Citations

This map shows the geographic impact of Tim T. Häbe'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 Tim T. Häbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim T. Häbe more than expected).

Fields of papers citing papers by Tim T. Häbe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim T. Häbe. 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 Tim T. Häbe. The network helps show where Tim T. Häbe may publish in the future.

Co-authorship network of co-authors of Tim T. Häbe

This figure shows the co-authorship network connecting the top 25 collaborators of Tim T. Häbe. A scholar is included among the top collaborators of Tim T. Häbe 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 Tim T. Häbe. Tim T. Häbe 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

Winter, Martin, Tim T. Häbe, Robert Ries, et al.. (2023). Label-free high-throughput screening via acoustic ejection mass spectrometry put into practice. SLAS DISCOVERY. 28(5). 240–246. 14 indexed citations

Häbe, Tim T., Robert Ries, Martin Winter, et al.. (2021). Acoustic Ejection Mass Spectrometry: A Fully Automatable Technology for High-Throughput Screening in Drug Discovery. SLAS DISCOVERY. 26(8). 961–973. 37 indexed citations

Häbe, Tim T., et al.. (2021). An ultrafast and flexible liquid chromatography/tandem mass spectrometry system paves the way for machine learning driven in vivo sample processing in early drug discovery. Rapid Communications in Mass Spectrometry. 35(12). e9096–e9096.

Winter, Martin, Robert Ries, Markus Zeeb, et al.. (2020). MALDI-TOF-Based Affinity Selection Mass Spectrometry for Automated Screening of Protein–Ligand Interactions at High Throughput. SLAS DISCOVERY. 26(1). 44–57. 18 indexed citations

Häbe, Tim T., Chang Liu, Wolfgang Reindl, et al.. (2020). Ultrahigh-Throughput ESI-MS: Sampling Pushed to Six Samples per Second by Acoustic Ejection Mass Spectrometry. Analytical Chemistry. 92(18). 12242–12249. 51 indexed citations

Móricz, Ágnes M., Tim T. Häbe, Péter G. Ott, & Gertrud E. Morlock. (2019). Comparison of high-performance thin-layer with overpressured layer chromatography combined with direct bioautography and direct analysis in real time mass spectrometry for tansy root. Journal of Chromatography A. 1603. 355–360. 20 indexed citations

Seifert, Alexander, et al.. (2019). An Enzyme Cascade Synthesis of Vanillin. Catalysts. 9(3). 252–252. 19 indexed citations

Häbe, Tim T. & Gertrud E. Morlock. (2019). Open‐source add‐on kit for automation of zone elution in planar chromatography. Rapid Communications in Mass Spectrometry. 34(7). e8631–e8631. 21 indexed citations

Häbe, Tim T., et al.. (2018). Direct bioautography hyphenated to direct analysis in real time mass spectrometry: Chromatographic separation, bioassay and mass spectra, all in the same sample run. Journal of Chromatography A. 1568. 188–196. 22 indexed citations

10.

Häbe, Tim T., et al.. (2016). Profiling and classification of French propolis by combined multivariate data analysis of planar chromatograms and scanning direct analysis in real time mass spectra. Journal of Chromatography A. 1465. 197–204. 39 indexed citations

11.

Häbe, Tim T. & Gertrud E. Morlock. (2016). Miniaturization of Instrumental Planar Chromatography with Focus on Mass Spectrometry. Chromatographia. 79(13-14). 797–810. 10 indexed citations

12.

Móricz, Ágnes M., Péter G. Ott, Tim T. Häbe, et al.. (2016). Effect-Directed Discovery of Bioactive Compounds Followed by Highly Targeted Characterization, Isolation and Identification, Exemplarily Shown for Solidago virgaurea. Analytical Chemistry. 88(16). 8202–8209. 53 indexed citations

13.

Häbe, Tim T. & Gertrud E. Morlock. (2015). Office Chromatography: Precise printing of sample solutions on miniaturized thin-layer phases and utilization for scanning Direct Analysis in Real Time mass spectrometry. Journal of Chromatography A. 1413. 127–134. 17 indexed citations

14.

Móricz, Ágnes M., Tim T. Häbe, Andrea Böszörményi, Péter G. Ott, & Gertrud E. Morlock. (2015). Tracking and identification of antibacterial components in the essential oil of Tanacetum vulgare L. by the combination of high-performance thin-layer chromatography with direct bioautography and mass spectrometry. Journal of Chromatography A. 1422. 310–317. 58 indexed citations

15.

Kanyal, Supriya S., et al.. (2015). Microfabrication, separations, and detection by mass spectrometry on ultrathin-layer chromatography plates prepared via the low-pressure chemical vapor deposition of silicon nitride onto carbon nanotube templates. Journal of Chromatography A. 1404. 115–123. 16 indexed citations

16.

Häbe, Tim T. & Gertrud E. Morlock. (2015). Challenges in quantitative high-performance thin-layer chromatography — Part 1: Influence of densitometric settings on the result. Journal of Planar Chromatography – Modern TLC. 28(6). 426–435. 6 indexed citations

17.

Häbe, Tim T. & Gertrud E. Morlock. (2015). Improved desorption/ionization and ion transmission in surface scanning by direct analysis in real time mass spectrometry. Rapid Communications in Mass Spectrometry. 30(2). 321–332. 26 indexed citations

18.

Häbe, Tim T. & Gertrud E. Morlock. (2015). Quantitative surface scanning by Direct Analysis in Real Time mass spectrometry. Rapid Communications in Mass Spectrometry. 29(6). 474–484. 39 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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