Ferdinand Stückler

951 total citations
8 papers, 395 citations indexed

About

Ferdinand Stückler is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ferdinand Stückler has authored 8 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pediatrics, Perinatology and Child Health and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ferdinand Stückler's work include Gestational Diabetes Research and Management (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Birth, Development, and Health (2 papers). Ferdinand Stückler is often cited by papers focused on Gestational Diabetes Research and Management (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Birth, Development, and Health (2 papers). Ferdinand Stückler collaborates with scholars based in Germany, Qatar and Austria. Ferdinand Stückler's co-authors include Jerzy Adamski, Jan Krumsiek, Fabian J. Theis, Christian Gieger, Thomas Illig, Karsten Suhre, Janina S. Ried, Annette Peters, Gabi Kastenmüller and Kirstin Mittelstraß and has published in prestigious journals such as PLoS ONE, Diabetologia and Journal of Chromatography A.

In The Last Decade

Ferdinand Stückler

7 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ferdinand Stückler Germany	6	226	127	58	52	37	8	395
Régis Périchon United States	10	193 0.9×	97 0.8×	91 1.6×	23 0.4×	14 0.4×	11	422
Surinder Kumar United States	12	260 1.2×	114 0.9×	185 3.2×	30 0.6×	35 0.9×	40	673
Elizabeth M Hall United States	10	125 0.6×	67 0.5×	30 0.5×	34 0.7×	37 1.0×	17	507
Sandra Levrand United States	7	150 0.7×	110 0.9×	56 1.0×	33 0.6×	8 0.2×	7	432
J Hyánek Czechia	13	216 1.0×	102 0.8×	53 0.9×	21 0.4×	45 1.2×	51	600
Lisa A. Ford United States	9	133 0.6×	55 0.4×	33 0.6×	16 0.3×	22 0.6×	12	273
Stephen P. Fitzgerald Germany	9	126 0.6×	32 0.3×	41 0.7×	30 0.6×	12 0.3×	16	366
Marcel J.W. Janssen Netherlands	12	203 0.9×	82 0.6×	47 0.8×	18 0.3×	92 2.5×	25	621
Milena Mitrović Serbia	11	75 0.3×	52 0.4×	45 0.8×	26 0.5×	21 0.6×	65	407

Countries citing papers authored by Ferdinand Stückler

Since Specialization

Citations

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

Fields of papers citing papers by Ferdinand Stückler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinand Stückler

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

1.

Stückler, Ferdinand, Michael Salomon, Regina Ensenauer, et al.. (2019). Dynamic modelling of an ACADS genotype in fatty acid oxidation – Application of cellular models for the analysis of common genetic variants. PLoS ONE. 14(5). e0216110–e0216110.

2.

Briskot, Till, Ferdinand Stückler, Christopher K. I. Williams, et al.. (2018). Prediction uncertainty assessment of chromatography models using Bayesian inference. Journal of Chromatography A. 1587. 101–110. 48 indexed citations

3.

Much, Daniela, Andreas Beyerlein, Alida Kindt, et al.. (2016). Lactation is associated with altered metabolomic signatures in women with gestational diabetes. Diabetologia. 59(10). 2193–2202. 15 indexed citations

4.

Michler, Thomas, Stefanie Große, Ferdinand Stückler, et al.. (2016). Blocking sense‐strand activity improves potency, safety and specificity of anti‐hepatitis B virus short hairpin RNA. EMBO Molecular Medicine. 8(9). 1082–1098. 24 indexed citations

5.

Much, Daniela, Andreas Beyerlein, Alida Kindt, et al.. (2016). Lactation is associated with altered metabolomic signatures in women with gestational diabetes. Diabetologie und Stoffwechsel. 11(S 01). 1 indexed citations

6.

Griese, Matthias, Gerhard Liebisch, Daniela Rauch, et al.. (2015). Surfactant Lipidomics in Healthy Children and Childhood Interstitial Lung Disease. PLoS ONE. 10(2). e0117985–e0117985. 32 indexed citations

7.

Krumsiek, Jan, Kirstin Mittelstraß, Kieu Trinh, et al.. (2015). Gender-specific pathway differences in the human serum metabolome. Metabolomics. 11(6). 1815–1833. 204 indexed citations

8.

Ried, Janina S., Hansjörg Baurecht, Ferdinand Stückler, et al.. (2013). Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma. Allergy. 68(5). 629–636. 71 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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