Wolfgang Peißner

1.1k total citations
16 papers, 900 citations indexed

About

Wolfgang Peißner is a scholar working on Molecular Biology, Clinical Biochemistry and Physiology. According to data from OpenAlex, Wolfgang Peißner has authored 16 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Clinical Biochemistry and 6 papers in Physiology. Recurrent topics in Wolfgang Peißner's work include Metabolomics and Mass Spectrometry Studies (7 papers), Metabolism and Genetic Disorders (7 papers) and Folate and B Vitamins Research (4 papers). Wolfgang Peißner is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (7 papers), Metabolism and Genetic Disorders (7 papers) and Folate and B Vitamins Research (4 papers). Wolfgang Peißner collaborates with scholars based in Germany, Spain and Belgium. Wolfgang Peißner's co-authors include Berthold Koletzko, Christian Hellmuth, Ulrike Harder, Harald Treuer, Frank Gillardon, Martin Köcher, Martina Weber, Franca F. Kirchberg, Thomas Reinehr and Nina Lass and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Wolfgang Peißner

16 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfgang Peißner Germany 12 321 210 206 205 109 16 900
Rémy Sapin France 23 310 1.0× 75 0.4× 142 0.7× 119 0.6× 71 0.7× 40 1.4k
Rachel P. L. van Swelm Netherlands 17 209 0.7× 82 0.4× 28 0.1× 183 0.9× 18 0.2× 27 914
Daniel Abran Canada 25 388 1.2× 407 1.9× 377 1.8× 71 0.3× 29 0.3× 38 1.4k
Annette Brand Israel 15 311 1.0× 176 0.8× 75 0.4× 154 0.8× 23 0.2× 26 767
Poonam Rana India 18 251 0.8× 85 0.4× 67 0.3× 25 0.1× 31 0.3× 50 763
Richard L. Malvin United States 24 499 1.6× 224 1.1× 132 0.6× 97 0.5× 22 0.2× 104 1.7k
Christopher Campos United States 19 425 1.3× 219 1.0× 150 0.7× 86 0.4× 30 0.3× 23 1.2k
Doris Rosenthal Brazil 19 361 1.1× 182 0.9× 100 0.5× 88 0.4× 33 0.3× 57 1.2k
Yu Okuma Japan 17 361 1.1× 89 0.4× 40 0.2× 29 0.1× 63 0.6× 62 967
Van Anthony M. Villar United States 25 691 2.2× 244 1.2× 93 0.5× 149 0.7× 5 0.0× 58 1.4k

Countries citing papers authored by Wolfgang Peißner

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Peißner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Peißner

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

All Works

16 of 16 papers shown
1.
Kirchberg, Franca F., S. Brandt, Anja Moß, et al.. (2017). Metabolomics reveals an entanglement of fasting leptin concentrations with fatty acid oxidation and gluconeogenesis in healthy children. PLoS ONE. 12(8). e0183185–e0183185. 14 indexed citations
2.
Hellmuth, Christian, Olaf Uhl, Franca F. Kirchberg, et al.. (2016). Influence of moderate maternal nutrition restriction on the fetal baboon metabolome at 0.5 and 0.9 gestation. Nutrition Metabolism and Cardiovascular Diseases. 26(9). 786–796. 8 indexed citations
3.
Prieto‐Sánchez, María T., María Ruíz‐Palacios, José Eliseo Blanco‐Carnero, et al.. (2016). Placental MFSD2a transporter is related to decreased DHA in cord blood of women with treated gestational diabetes. Clinical Nutrition. 36(2). 513–521. 89 indexed citations
4.
Hellmuth, Christian, Franca F. Kirchberg, Nina Lass, et al.. (2015). Tyrosine Is Associated with Insulin Resistance in Longitudinal Metabolomic Profiling of Obese Children. Journal of Diabetes Research. 2016. 1–10. 72 indexed citations
5.
Kirchberg, Franca F., Ulrike Harder, Martina Weber, et al.. (2014). Dietary Protein Intake Affects Amino Acid and Acylcarnitine Metabolism in Infants Aged 6 Months. The Journal of Clinical Endocrinology & Metabolism. 100(1). 149–158. 63 indexed citations
6.
Demmelmair, Hans, Wolfgang Peißner, Diego Moretti, et al.. (2014). Three-month B vitamin supplementation in pre-school children affects folate status and homocysteine, but not cognitive performance. European Journal of Nutrition. 53(7). 1445–1456. 9 indexed citations
7.
Rzehak, Peter, Christian Hellmuth, Olaf Uhl, et al.. (2014). Rapid Growth and Childhood Obesity Are Strongly Associated with LysoPC(14:0). Annals of Nutrition and Metabolism. 64(3-4). 294–303. 34 indexed citations
8.
Reinehr, Thomas, Barbara Wolters, Caroline Knop, et al.. (2014). Changes in the serum metabolite profile in obese children with weight loss. European Journal of Nutrition. 54(2). 173–181. 66 indexed citations
9.
Demmelmair, Hans, et al.. (2013). Folate Catabolites in Spot Urine as Non-Invasive Biomarkers of Folate Status during Habitual Intake and Folic Acid Supplementation. PLoS ONE. 8(2). e56194–e56194. 10 indexed citations
10.
Harder, Ulrike, et al.. (2013). Quantification of urinary folate catabolites using liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 929. 116–124. 7 indexed citations
11.
Hellmuth, Christian, et al.. (2013). Association between Plasma Nonesterified Fatty Acids Species and Adipose Tissue Fatty Acid Composition. PLoS ONE. 8(10). e74927–e74927. 54 indexed citations
12.
Koletzko, Berthold, et al.. (2012). Determination of Creatinine in Human Urine with Flow Injection Tandem Mass Spectrometry. Annals of Nutrition and Metabolism. 61(4). 314–321. 23 indexed citations
13.
Hellmuth, Christian, Martina Weber, Berthold Koletzko, & Wolfgang Peißner. (2012). Nonesterified Fatty Acid Determination for Functional Lipidomics: Comprehensive Ultrahigh Performance Liquid Chromatography–Tandem Mass Spectrometry Quantitation, Qualification, and Parameter Prediction. Analytical Chemistry. 84(3). 1483–1490. 107 indexed citations
14.
Harder, Ulrike, Berthold Koletzko, & Wolfgang Peißner. (2011). Quantification of 22 plasma amino acids combining derivatization and ion-pair LC–MS/MS. Journal of Chromatography B. 879(7-8). 495–504. 131 indexed citations
15.
Hellmuth, Christian, Berthold Koletzko, & Wolfgang Peißner. (2010). Aqueous normal phase chromatography improves quantification and qualification of homocysteine, cysteine and methionine by liquid chromatography–tandem mass spectrometry. Journal of Chromatography B. 879(1). 83–89. 42 indexed citations
16.
Peißner, Wolfgang, Martin Köcher, Harald Treuer, & Frank Gillardon. (1999). Ionizing radiation-induced apoptosis of proliferating stem cells in the dentate gyrus of the adult rat hippocampus. Molecular Brain Research. 71(1). 61–68. 171 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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