Gert Wohlgemuth

5.7k total citations · 4 hit papers
26 papers, 3.9k citations indexed

About

Gert Wohlgemuth is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Gert Wohlgemuth has authored 26 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Spectroscopy and 5 papers in Plant Science. Recurrent topics in Gert Wohlgemuth's work include Metabolomics and Mass Spectrometry Studies (19 papers), Analytical Chemistry and Chromatography (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Gert Wohlgemuth is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (19 papers), Analytical Chemistry and Chromatography (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Gert Wohlgemuth collaborates with scholars based in United States, Saudi Arabia and South Korea. Gert Wohlgemuth's co-authors include Oliver Fiehn, Tobias Kind, Do Yup Lee, Yun Lü, Mine Palazoglu, Dinesh Kumar Barupal, Martin Scholz, Basil J. Nikolau, Sajjan S. Mehta and Zijuan Lai and has published in prestigious journals such as Circulation, Bioinformatics and PLoS ONE.

In The Last Decade

Gert Wohlgemuth

26 papers receiving 3.9k 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.

FiehnLib: Mass Spectral and Retention Index Libraries for Metabolomics Based on Quadrupole and Time-of-Flight Gas Chromatography/Mass Spectrometry

2009 1.1k citations Tobias Kind, Gert Wohlgemuth et al. Analytical Chemistry profile →
Quality control for plant metabolomics: reporting MSI‐compliant studies

2008 522 citations Oliver Fiehn, Gert Wohlgemuth et al. The Plant Journal profile →
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics

2017 412 citations Zijuan Lai, Hiroshi Tsugawa et al. Nature Methods profile →
Identification of small molecules using accurate mass MS/MS search

2017 342 citations Tobias Kind, Hiroshi Tsugawa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gert Wohlgemuth United States	21	2.6k	816	641	412	357	26	3.9k
Vladimir Tolstikov United States	30	2.7k 1.0×	649 0.8×	686 1.1×	347 0.8×	189 0.5×	68	4.1k
Laurent Debrauwer France	36	1.5k 0.6×	611 0.7×	456 0.7×	313 0.8×	393 1.1×	174	4.5k
Éric Ezan France	38	2.7k 1.0×	630 0.8×	770 1.2×	344 0.8×	132 0.4×	107	5.1k
Sandra Castillo Finland	15	2.7k 1.0×	456 0.6×	843 1.3×	500 1.2×	127 0.4×	27	3.9k
Marie Brown United Kingdom	24	3.4k 1.3×	407 0.5×	929 1.4×	620 1.5×	232 0.6×	36	4.9k
Christophe Junot France	40	3.4k 1.3×	804 1.0×	1.0k 1.6×	575 1.4×	161 0.5×	125	5.9k
Tomáš Pluskal United States	25	3.4k 1.3×	794 1.0×	836 1.3×	482 1.2×	114 0.3×	45	5.0k
J. William Allwood United Kingdom	32	1.9k 0.8×	969 1.2×	397 0.6×	491 1.2×	106 0.3×	77	3.8k
Grace O’Maille United States	9	3.5k 1.3×	495 0.6×	1.3k 2.0×	689 1.7×	181 0.5×	9	4.6k
Kazutaka Ikeda Japan	36	4.1k 1.6×	437 0.5×	884 1.4×	435 1.1×	395 1.1×	95	6.2k

Countries citing papers authored by Gert Wohlgemuth

Since Specialization

Citations

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

Fields of papers citing papers by Gert Wohlgemuth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gert Wohlgemuth

This figure shows the co-authorship network connecting the top 25 collaborators of Gert Wohlgemuth. A scholar is included among the top collaborators of Gert Wohlgemuth 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 Gert Wohlgemuth. Gert Wohlgemuth 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

Zhang, Ying, Sili Fan, Gert Wohlgemuth, & Oliver Fiehn. (2023). Denoising Autoencoder Normalization for Large-Scale Untargeted Metabolomics by Gas Chromatography–Mass Spectrometry. Metabolites. 13(8). 944–944. 6 indexed citations

Wohlgemuth, Gert, et al.. (2023). The BinDiscover database: a biology-focused meta-analysis tool for 156,000 GC–TOF MS metabolome samples. Journal of Cheminformatics. 15(1). 66–66. 4 indexed citations

Zhang, Ying, Zhiguang Huo, Wenjie Zeng, et al.. (2021). Longitudinal Plasma Lipidome and Risk of Type 2 Diabetes in a Large Sample of American Indians With Normal Fasting Glucose: The Strong Heart Family Study. Diabetes Care. 44(12). 2664–2672. 23 indexed citations

Lai, Zijuan, Hiroshi Tsugawa, Gert Wohlgemuth, et al.. (2017). Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics. Nature Methods. 15(1). 53–56. 412 indexed citations breakdown →

Sudre, Damien, Giuseppe Lattanzio, Rubén Rellán‐Álvarez, et al.. (2013). Iron-dependent modifications of the flower transcriptome, proteome, metabolome, and hormonal content in an Arabidopsis ferritin mutant. Journal of Experimental Botany. 64(10). 2665–2688. 51 indexed citations

Barupal, Dinesh Kumar, Gert Wohlgemuth, Tobias Kind, et al.. (2012). MetaMapp: mapping and visualizing metabolomic data by integrating information from biochemical pathways and chemical and mass spectral similarity. BMC Bioinformatics. 13(1). 99–99. 190 indexed citations

Budczies, Jan, Carsten Denkert, Berit Müller, et al.. (2012). Remodeling of central metabolism in invasive breast cancer compared to normal breast tissue – a GC-TOFMS based metabolomics study. BMC Genomics. 13(1). 334–334. 122 indexed citations

Skogerson, Kirsten, Gert Wohlgemuth, Dinesh Kumar Barupal, & Oliver Fiehn. (2011). The volatile compound BinBase mass spectral database. BMC Bioinformatics. 12(1). 321–321. 142 indexed citations

Kind, Tobias, et al.. (2010). Managing Complexity - How Many Platforms Do We Need for Metabolomics?. Journal of Biomolecular Techniques JBT. 21. 1 indexed citations

10.

Bais, Preeti, Kun He, Ricardo Leitão, et al.. (2010). PlantMetabolomics.org: A Web Portal for Plant Metabolomics Experiments. PLANT PHYSIOLOGY. 152(4). 1807–1816. 56 indexed citations

11.

Rellán‐Álvarez, Rubén, Sofı́a Andaluz, Jorge Rodríguez-Celma, et al.. (2010). Changes in the proteomic and metabolic profiles of Beta vulgaris root tips in response to iron deficiency and resupply. BMC Plant Biology. 10(1). 120–120. 94 indexed citations

12.

Lee, Do Yup, et al.. (2010). Global metabolite profiling of agarose degradation by Saccharophagus degradans 2-40. New Biotechnology. 27(2). 156–168. 26 indexed citations

13.

Dandekar, Abhaya M., Federico Martinelli, Cristina E. Davis, et al.. (2010). Analysis of Early Host Responses for Asymptomatic Disease Detection and Management of Specialty Crops. Critical Reviews in Immunology. 30(3). 277–289. 24 indexed citations

14.

Seifert, Erin L., Oliver Fiehn, Véronic Bézaire, et al.. (2010). Long-Chain Fatty Acid Combustion Rate Is Associated with Unique Metabolite Profiles in Skeletal Muscle Mitochondria. PLoS ONE. 5(3). e9834–e9834. 22 indexed citations

15.

Sana, Theodore R., et al.. (2010). Metabolomic and transcriptomic analysis of the rice response to the bacterial blight pathogen Xanthomonas oryzae pv. oryzae. Metabolomics. 6(3). 451–465. 105 indexed citations

16.

Lee, Do Yup, Kirsten Skogerson, Gert Wohlgemuth, et al.. (2009). Global metabolic profiling of plant cell wall polysaccharide degradation by Saccharophagus degradans. Biotechnology and Bioengineering. 105(3). 477–488. 24 indexed citations

17.

Kind, Tobias, Gert Wohlgemuth, Do Yup Lee, et al.. (2009). FiehnLib: Mass Spectral and Retention Index Libraries for Metabolomics Based on Quadrupole and Time-of-Flight Gas Chromatography/Mass Spectrometry. Analytical Chemistry. 81(24). 10038–10048. 1130 indexed citations breakdown →

18.

Skogerson, Kirsten, et al.. (2009). Comparison of Gas Chromatography-Coupled Time-of-Flight Mass Spectrometry and¹H Nuclear Magnetic Resonance Spectroscopy Metabolite Identification in White Wines from a Sensory Study Investigating Wine Body. Journal of Agricultural and Food Chemistry. 57(15). 6899–6907. 61 indexed citations

19.

Denkert, Carsten, Jan Budczies, Wilko Weichert, et al.. (2008). Metabolite profiling of human colon carcinoma – deregulation of TCA cycle and amino acid turnover. Molecular Cancer. 7(1). 72–72. 262 indexed citations

20.

Fiehn, Oliver, Gert Wohlgemuth, Martin Scholz, et al.. (2008). Quality control for plant metabolomics: reporting MSI‐compliant studies. The Plant Journal. 53(4). 691–704. 522 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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