Michael Witting

4.9k total citations
80 papers, 2.1k citations indexed

About

Michael Witting is a scholar working on Molecular Biology, Spectroscopy and Aging. According to data from OpenAlex, Michael Witting has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 15 papers in Spectroscopy and 15 papers in Aging. Recurrent topics in Michael Witting's work include Metabolomics and Mass Spectrometry Studies (47 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Michael Witting is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (47 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers) and Microbial Metabolic Engineering and Bioproduction (11 papers). Michael Witting collaborates with scholars based in Germany, France and United Kingdom. Michael Witting's co-authors include Philippe Schmitt‐Kopplin, Sebastian Böcker, Régis D. Gougeon, Franco Moritz, Hugo Aguilaniu, Helen Gika, Karsten Suhre, Brigitte Wägele, Georgios Theodoridis and Steffen Neumann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Witting

74 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Witting Germany 27 1.3k 423 270 236 223 80 2.1k
Yuping Cai China 25 2.0k 1.5× 326 0.8× 229 0.8× 75 0.3× 171 0.8× 59 2.7k
Alejandro Villar‐Briones Japan 17 2.5k 1.8× 650 1.5× 495 1.8× 211 0.9× 367 1.6× 23 3.7k
Igor Sinelnikov Canada 6 1.7k 1.3× 243 0.6× 362 1.3× 146 0.6× 185 0.8× 9 2.6k
Jeramie D. Watrous United States 28 2.3k 1.7× 744 1.8× 434 1.6× 118 0.5× 242 1.1× 66 3.8k
Mitsuhiro Kanazawa Japan 5 1.7k 1.3× 519 1.2× 337 1.2× 201 0.9× 303 1.4× 6 2.5k
H. Paul Benton United States 25 2.6k 2.0× 959 2.3× 241 0.9× 124 0.5× 565 2.5× 33 3.6k
David Anderson de Lima Morais Canada 9 1.9k 1.4× 158 0.4× 449 1.7× 181 0.8× 153 0.7× 21 3.3k
Manish Sud United States 11 2.3k 1.7× 795 1.9× 183 0.7× 98 0.4× 180 0.8× 12 3.1k
Carin Li Canada 6 2.1k 1.5× 239 0.6× 396 1.5× 200 0.8× 210 0.9× 6 3.2k
Maria Fedorova Germany 32 2.0k 1.5× 630 1.5× 536 2.0× 198 0.8× 143 0.6× 110 3.5k

Countries citing papers authored by Michael Witting

Since Specialization
Citations

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

Fields of papers citing papers by Michael Witting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Witting

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Witting. A scholar is included among the top collaborators of Michael Witting 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 Michael Witting. Michael Witting 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.
Plumb, Robert S., et al.. (2026). What’s in a name? Metabolite identification: challenges and pitfalls in untargeted metabolomics. Metabolomics. 22(2). 22–22.
2.
Witting, Michael, et al.. (2025). Structural annotation of acylcarnitines detected in SRM 1950 using collision-induced dissociation and electron-induced dissociation. Analytical and Bioanalytical Chemistry. 418(3). 805–812.
3.
Bittremieux, Wout, Thomas Naake, Carolin Huber, et al.. (2025). SpectriPy: Enhancing Cross-Language Mass Spectrometry Data Analysis with R and Python. The Journal of Open Source Software. 10(109). 8070–8070.
5.
Liu, Jing, Barbara Pees, Georgia Angelidou, et al.. (2025). Polyketide synthase-derived sphingolipids mediate microbiota protection against a bacterial pathogen in C. elegans. Nature Communications. 16(1). 5151–5151. 2 indexed citations
6.
Baum, Christel, et al.. (2025). Strain-specific strategies underlie convergent phosphate solubilization in Bacillus. ISME Communications. 5(1). ycaf208–ycaf208.
7.
Witting, Michael, et al.. (2025). Phosphorylated glycosphingolipids are commonly detected in Caenorhabditis elegans lipidomes. Metabolomics. 21(2). 29–29. 1 indexed citations
8.
Juhász, Balázs, Jian Shen, Annette Feuchtinger, et al.. (2024). Dipeptide metabolite, glutamyl-glutamate mediates microbe-host interaction to boost spermatogenesis. Scientific Reports. 14(1). 21864–21864. 5 indexed citations
9.
Witting, Michael, et al.. (2024). Navigating common pitfalls in metabolite identification and metabolomics bioinformatics. Metabolomics. 20(5). 103–103. 12 indexed citations
10.
Theodoridis, Georgios, et al.. (2023). Volumetric Absorptive Microsampling in the Analysis of Endogenous Metabolites. Metabolites. 13(10). 1038–1038. 9 indexed citations
11.
Maqdasy, Salwan, Simon Lecoutre, Scott Frendo‐Cumbo, et al.. (2022). Impaired phosphocreatine metabolism in white adipocytes promotes inflammation. Nature Metabolism. 4(2). 190–202. 35 indexed citations
12.
Witting, Michael, et al.. (2021). Novel Extraction Method for Combined Lipid and Metal Speciation From Caenorhabditis elegans With Focus on Iron Redox Status and Lipid Profiling. Frontiers in Chemistry. 9. 788094–788094. 6 indexed citations
13.
Köhler, Fabian, Michael Witting, S. Rolland, et al.. (2020). Autophagy compensates for defects in mitochondrial dynamics. PLoS Genetics. 16(3). e1008638–e1008638. 24 indexed citations
14.
Ghirardo, Andrea, Birgit Lange, Michael Witting, et al.. (2020). Metabolomic adjustments in the orchid mycorrhizal fungus Tulasnella calospora during symbiosis with Serapias vomeracea. New Phytologist. 228(6). 1939–1952. 28 indexed citations
15.
Zytynska, Sharon E., Franco Moritz, Michael Witting, et al.. (2018). Metabotype variation in a field population of tansy plants influences aphid host selection. Plant Cell & Environment. 41(12). 2791–2805. 31 indexed citations
16.
Schmidt, Anna Mareike, Franco Moritz, Maaria Rosenkranz, et al.. (2018). Mycorrhiza-Triggered Transcriptomic and Metabolomic Networks Impinge on Herbivore Fitness. PLANT PHYSIOLOGY. 176(4). 2639–2656. 63 indexed citations
17.
Virgiliou, Christina, Helen Gika, Michael Witting, et al.. (2017). Amniotic Fluid and Maternal Serum Metabolic Signatures in the Second Trimester Associated with Preterm Delivery. Journal of Proteome Research. 16(2). 898–910. 47 indexed citations
18.
Sampsonidis, Ioannis, et al.. (2017). QSRR Modeling for Metabolite Standards Analyzed by Two Different Chromatographic Columns Using Multiple Linear Regression. Metabolites. 7(1). 7–7. 24 indexed citations
19.
Witting, Michael, Christoph Ruttkies, Steffen Neumann, & Philippe Schmitt‐Kopplin. (2017). LipidFrag: Improving reliability of in silico fragmentation of lipids and application to the Caenorhabditis elegans lipidome. PLoS ONE. 12(3). e0172311–e0172311. 20 indexed citations
20.
Sampsonidis, Ioannis, Michael Witting, Christina Virgiliou, et al.. (2015). Computational analysis and ratiometric comparison approaches aimed to assist column selection in hydrophilic interaction liquid chromatography–tandem mass spectrometry targeted metabolomics. Journal of Chromatography A. 1406. 145–155. 18 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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