Daniel Veyel

924 total citations
18 papers, 582 citations indexed

About

Daniel Veyel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Daniel Veyel has authored 18 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Daniel Veyel's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Algal biology and biofuel production (3 papers). Daniel Veyel is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Algal biology and biofuel production (3 papers). Daniel Veyel collaborates with scholars based in Germany, France and Australia. Daniel Veyel's co-authors include Michael Schroda, Aleksandra Skirycz, Stéphane D. Lemaire, Monika Kosmacz, Marcin Luzarowski, Mariette Bedhomme, Xing‐Huang Gao, Mirko Zaffagnini, Lothar Willmitzer and Ewelina Sokołowska and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and Analytical Chemistry.

In The Last Decade

Daniel Veyel

17 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Veyel Germany 13 425 134 94 66 54 18 582
Anne von Zychlinski Switzerland 8 647 1.5× 290 2.2× 114 1.2× 116 1.8× 68 1.3× 11 825
Chitranshu Kumar India 10 532 1.3× 67 0.5× 61 0.6× 35 0.5× 163 3.0× 12 723
Said Eshaghi Sweden 17 687 1.6× 219 1.6× 24 0.3× 42 0.6× 36 0.7× 28 1.0k
Theresia A. Schaedler United Kingdom 9 386 0.9× 189 1.4× 98 1.0× 113 1.7× 53 1.0× 9 695
Kwok Ki Ho United States 15 793 1.9× 258 1.9× 236 2.5× 18 0.3× 88 1.6× 27 1.1k
Werner Staudenmann Switzerland 16 497 1.2× 90 0.7× 25 0.3× 106 1.6× 33 0.6× 24 791
Xing‐Huang Gao United States 11 427 1.0× 51 0.4× 37 0.4× 32 0.5× 106 2.0× 14 552
Alfredo Cabrera‐Orefice Netherlands 18 577 1.4× 40 0.3× 22 0.2× 39 0.6× 19 0.4× 41 752
Toyoki Amano Japan 17 582 1.4× 116 0.9× 41 0.4× 33 0.5× 12 0.2× 30 716
Stephanie Sunderhaus Germany 13 897 2.1× 321 2.4× 26 0.3× 54 0.8× 99 1.8× 15 1.0k

Countries citing papers authored by Daniel Veyel

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Veyel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Veyel

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

All Works

18 of 18 papers shown
1.
Griesser, Eva, et al.. (2023). Whole lung proteome of an acute epithelial injury mouse model in comparison to spatially resolved proteomes. PROTEOMICS. 23(10). e2100414–e2100414.
2.
Mayr, Christoph H., Katrin Fundel‐Clemens, Łukasz M. Boryń, et al.. (2023). Transcriptomic and Proteomic Changes Driving Pulmonary Fibrosis Resolution in Young and Old Mice. American Journal of Respiratory Cell and Molecular Biology. 69(4). 422–440. 8 indexed citations
3.
Klee, Stephan, Sergio Picart‐Armada, Gerald Birk, et al.. (2023). Transcriptomic and proteomic profiling of young and old mice in the bleomycin model reveals high similarity. American Journal of Physiology-Lung Cellular and Molecular Physiology. 324(3). L245–L258. 5 indexed citations
4.
Picart‐Armada, Sergio, Stephan Klee, Tom Bretschneider, et al.. (2021). Mapping the metabolomic and lipidomic changes in the bleomycin model of pulmonary fibrosis in young and aged mice. Disease Models & Mechanisms. 15(1). 27 indexed citations
5.
Veyel, Daniel, Andre Broermann, Tom Bretschneider, et al.. (2020). Biomarker discovery for chronic liver diseases by multi-omics – a preclinical case study. Scientific Reports. 10(1). 1314–1314. 29 indexed citations
6.
Veyel, Daniel, Ewelina Sokołowska, Juan C. Moreno, et al.. (2018). PROMIS, global analysis of PROtein–metabolite interactions using size separation in Arabidopsis thaliana. Journal of Biological Chemistry. 293(32). 12440–12453. 62 indexed citations
7.
Kosmacz, Monika, Marcin Luzarowski, Emilio Gutiérrez-Beltrán, et al.. (2018). Interaction of 2',3'-cAMP with Rbp47b plays a role in stress granule formation. PLANT PHYSIOLOGY. pp.00285.2018–pp.00285.2018. 50 indexed citations
8.
Luzarowski, Marcin, Monika Kosmacz, Ewelina Sokołowska, et al.. (2017). Affinity purification with metabolomic and proteomic analysis unravels diverse roles of nucleoside diphosphate kinases. Journal of Experimental Botany. 68(13). 3487–3499. 30 indexed citations
9.
Veyel, Daniel, Sylwia Kierszniowska, Monika Kosmacz, et al.. (2017). System-wide detection of protein-small molecule complexes suggests extensive metabolite regulation in plants. Scientific Reports. 7(1). 42387–42387. 34 indexed citations
10.
Veyel, Daniel, et al.. (2017). Combined GC- and UHPLC-HR-MS Based Metabolomics to Analyze Durable Anti-fungal Resistance Processes in Cereals. CHIMIA International Journal for Chemistry. 71(4). 156–156. 5 indexed citations
11.
Arrivault, Stéphanie, Manuela Guenther, Stephen C. Fry, et al.. (2015). Synthesis and Use of Stable-Isotope-Labeled Internal Standards for Quantification of Phosphorylated Metabolites by LC–MS/MS. Analytical Chemistry. 87(13). 6896–6904. 68 indexed citations
12.
Veyel, Daniel, Alexander Erban, Ines Fehrle, Joachim Kopka, & Michael Schroda. (2014). Rationales and Approaches for Studying Metabolism in Eukaryotic Microalgae. Metabolites. 4(2). 184–217. 16 indexed citations
13.
Sommer, Frederik, et al.. (2014). Identification and Validation of Protein-Protein Interactions by Combining Co-immunoprecipitation, Antigen Competition, and Stable Isotope Labeling. Methods in molecular biology. 1188. 245–261. 8 indexed citations
14.
15.
Veyel, Daniel, Timo Mühlhaus, Frederik Sommer, et al.. (2014). Systems-Wide Analysis of Acclimation Responses to Long-Term Heat Stress and Recovery in the Photosynthetic Model OrganismChlamydomonas reinhardtii   . The Plant Cell. 26(11). 4270–4297. 91 indexed citations
16.
Schmollinger, Stefan, Miriam Schulz‐Raffelt, Daniela Strenkert, et al.. (2013). Dissecting the Heat Stress Response in Chlamydomonas by Pharmaceutical and RNAi Approaches Reveals Conserved and Novel Aspects. Molecular Plant. 6(6). 1795–1813. 36 indexed citations
17.
Dorn, Karolin V., Felix Willmund, Christian Schwarz, et al.. (2010). Chloroplast DnaJ-like proteins 3 and 4 (CDJ3/4) from Chlamydomonas reinhardtii contain redox-active Fe–S clusters and interact with stromal HSP70B. Biochemical Journal. 427(2). 205–215. 26 indexed citations
18.
Gao, Xing‐Huang, Mariette Bedhomme, Daniel Veyel, Mirko Zaffagnini, & Stéphane D. Lemaire. (2008). Methods for Analysis of Protein Glutathionylation and their Application to Photosynthetic Organisms. Molecular Plant. 2(2). 218–235. 73 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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