Daniela Schranner

903 total citations
8 papers, 309 citations indexed

About

Daniela Schranner is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Daniela Schranner has authored 8 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Daniela Schranner's work include Metabolomics and Mass Spectrometry Studies (4 papers), Muscle metabolism and nutrition (3 papers) and Tryptophan and brain disorders (2 papers). Daniela Schranner is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (4 papers), Muscle metabolism and nutrition (3 papers) and Tryptophan and brain disorders (2 papers). Daniela Schranner collaborates with scholars based in Germany, Singapore and United States. Daniela Schranner's co-authors include Henning Wackerhage, Martin Schönfelder, Gabi Kastenmüller, Werner Römisch‐Margl, Ollie Jay, J. R. Brotherhood, Babette M Pluim, Julien D. Périard, Christian J. Kähler and Rainer Hain and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Medicine & Science in Sports & Exercise and Molecular Psychiatry.

In The Last Decade

Daniela Schranner

8 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Schranner Germany	6	159	116	79	63	44	8	309
Daniel Alexander Bizjak Germany	11	144 0.9×	40 0.3×	48 0.6×	46 0.7×	26 0.6×	48	378
Jessica A. Regan United States	14	80 0.5×	201 1.7×	39 0.5×	15 0.2×	44 1.0×	33	568
Michael W. Schleh United States	8	214 1.3×	48 0.4×	55 0.7×	47 0.7×	16 0.4×	23	349
Anna Kasperska Poland	11	106 0.7×	87 0.8×	48 0.6×	89 1.4×	41 0.9×	24	281
Tony G. Dawkins United Kingdom	10	99 0.6×	55 0.5×	31 0.4×	33 0.5×	143 3.3×	34	369
Hans-Herrmann Dickhuth Germany	5	163 1.0×	185 1.6×	86 1.1×	219 3.5×	22 0.5×	5	422
E. Jean France	10	177 1.1×	172 1.5×	70 0.9×	26 0.4×	35 0.8×	22	416
H. Sanchez France	11	147 0.9×	174 1.5×	94 1.2×	50 0.8×	66 1.5×	12	428
Julien Siracusa France	11	92 0.6×	138 1.2×	70 0.9×	82 1.3×	10 0.2×	25	359
Lorena Rodríguez‐García Spain	9	141 0.9×	75 0.6×	97 1.2×	92 1.5×	71 1.6×	21	328

Countries citing papers authored by Daniela Schranner

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Schranner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Schranner

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

All Works

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8 of 8 papers shown

Jansen, Rick, Daniela Schranner, Matthias Arnold, et al.. (2025). Acylcarnitines metabolism in depression: association with diagnostic status, depression severity and symptom profile in the NESDA cohort. Translational Psychiatry. 15(1). 65–65. 4 indexed citations

Jansen, Rick, Yuri Milaneschi, Daniela Schranner, et al.. (2024). The metabolome-wide signature of major depressive disorder. Molecular Psychiatry. 29(12). 3722–3733. 14 indexed citations

Hain, Rainer, et al.. (2022). Aerosol particle emission increases exponentially above moderate exercise intensity resulting in superemission during maximal exercise. Proceedings of the National Academy of Sciences. 119(22). e2202521119–e2202521119. 31 indexed citations

Fiamoncini, Jarlei, Daniela Schranner, Johannes Raffler, et al.. (2022). Dynamic patterns of postprandial metabolic responses to three dietary challenges. Frontiers in Nutrition. 9. 933526–933526. 5 indexed citations

Robbins, Jeremy, Bennet Peterson, Daniela Schranner, et al.. (2021). Human plasma proteomic profiles indicative of cardiorespiratory fitness. Nature Metabolism. 3(6). 786–797. 41 indexed citations

Schranner, Daniela, Martin Schönfelder, Werner Römisch‐Margl, et al.. (2021). Physiological extremes of the human blood metabolome: A metabolomics analysis of highly glycolytic, oxidative, and anabolic athletes. Physiological Reports. 9(12). e14885–e14885. 22 indexed citations

Schranner, Daniela, Gabi Kastenmüller, Martin Schönfelder, Werner Römisch‐Margl, & Henning Wackerhage. (2020). Metabolite Concentration Changes in Humans After a Bout of Exercise: a Systematic Review of Exercise Metabolomics Studies. Sports Medicine - Open. 6(1). 11–11. 162 indexed citations

Schranner, Daniela, et al.. (2016). In-Play Cooling Interventions for Simulated Match-Play Tennis in Hot/Humid Conditions. Medicine & Science in Sports & Exercise. 49(5). 991–998. 30 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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