Stefan Müllner

1.0k total citations
30 papers, 650 citations indexed

About

Stefan Müllner is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stefan Müllner has authored 30 papers receiving a total of 650 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stefan Müllner's work include Drug Transport and Resistance Mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Advanced Biosensing Techniques and Applications (5 papers). Stefan Müllner is often cited by papers focused on Drug Transport and Resistance Mechanisms (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Advanced Biosensing Techniques and Applications (5 papers). Stefan Müllner collaborates with scholars based in Germany, United States and Austria. Stefan Müllner's co-authors include Angelika Lueking, Dolores J. Cahill, H. Fasold, Petra Lutter, Edgar Schmitt, M. Frimmer, Sabine Stoll, John Wijdenes, Hansjörg Schild and Eva N. Huter and has published in prestigious journals such as Blood, PLoS ONE and Hepatology.

In The Last Decade

Stefan Müllner

30 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Müllner Germany 15 340 160 144 76 64 30 650
Eckart Köttgen Germany 16 426 1.3× 103 0.6× 110 0.8× 71 0.9× 47 0.7× 32 746
Ariadna Sarrats Spain 11 493 1.4× 151 0.9× 113 0.8× 111 1.5× 44 0.7× 14 679
T. Kremmer Hungary 16 589 1.7× 73 0.5× 155 1.1× 141 1.9× 61 1.0× 50 881
Holger Bartsch Germany 19 337 1.0× 186 1.2× 242 1.7× 66 0.9× 30 0.5× 47 847
Dawn Dufield United States 13 291 0.9× 97 0.6× 58 0.4× 128 1.7× 49 0.8× 21 603
Martin Wurm Austria 12 364 1.1× 103 0.6× 233 1.6× 21 0.3× 76 1.2× 20 861
Yutaro Azuma Japan 15 463 1.4× 279 1.7× 77 0.5× 44 0.6× 28 0.4× 42 756
H. Wessels Netherlands 20 505 1.5× 100 0.6× 177 1.2× 105 1.4× 53 0.8× 62 1.5k
Jeanne Féger France 19 544 1.6× 189 1.2× 115 0.8× 23 0.3× 73 1.1× 64 873
Xiaolei Xie China 15 583 1.7× 74 0.5× 100 0.7× 152 2.0× 68 1.1× 27 918

Countries citing papers authored by Stefan Müllner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Müllner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Müllner

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Müllner. A scholar is included among the top collaborators of Stefan Müllner 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 Stefan Müllner. Stefan Müllner 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.
Striemer, Christopher C., et al.. (2018). Label-free microarray-based detection of autoantibodies in human serum. Journal of Immunological Methods. 459. 44–49. 9 indexed citations
2.
Schlick, Bettina, Petra Massoner, Angelika Lueking, et al.. (2016). Serum Autoantibodies in Chronic Prostate Inflammation in Prostate Cancer Patients. PLoS ONE. 11(2). e0147739–e0147739. 11 indexed citations
3.
Bradshaw, Nicholas J., Verian Bader, Ingrid Prikulis, et al.. (2014). Aggregation of the Protein TRIOBP-1 and Its Potential Relevance to Schizophrenia. PLoS ONE. 9(10). e111196–e111196. 23 indexed citations
4.
Blüggel, Martin, François Spertini, Petra Lutter, et al.. (2011). Toward Protein Biomarkers for Allergy: CD4+ T Cell Proteomics in Allergic and Nonallergic Subjects Sampled in and out of Pollen Season. Journal of Proteome Research. 10(4). 1558–1570. 8 indexed citations
5.
Huber, Robert, et al.. (2011). Predictive tool for recombinant protein production in Escherichia coli Shake‐Flask cultures using an on‐line monitoring system. Biotechnology Progress. 28(1). 103–113. 28 indexed citations
6.
Kubach, Jan, Petra Lutter, Tobias Bopp, et al.. (2007). Human CD4+CD25+ regulatory T cells: proteome analysis identifies galectin-10 as a novel marker essential for their anergy and suppressive function. Blood. 110(5). 1550–1558. 161 indexed citations
7.
Helling, Stefan, Edgar Schmitt, Cornelia Joppich, et al.. (2006). 2‐D differential membrane proteome analysis of scarce protein samples. PROTEOMICS. 6(16). 4506–4513. 38 indexed citations
8.
Lueking, Angelika, Dolores J. Cahill, & Stefan Müllner. (2005). Protein biochips: A new and versatile platform technology for molecular medicine. Drug Discovery Today. 10(11). 789–794. 67 indexed citations
9.
Müllner, Stefan. (2003). The Impact of Proteomics on Products and Processes. Advances in biochemical engineering, biotechnology. 83. 1–25. 3 indexed citations
10.
Mangold, Ursula, et al.. (1999). Identification and characterization of potential new therapeutic targets in inflammatory and autoimmune diseases. European Journal of Biochemistry. 266(3). 1184–1191. 17 indexed citations
11.
Müllner, Stefan, et al.. (1998). Two replica blotting methods for fast immunological analysis of common proteins in two‐dimensional electrophoresis. Electrophoresis. 19(5). 752–757. 7 indexed citations
12.
13.
Müllner, Stefan, et al.. (1998). In vitro model system for the identification and characterization of proteins involved in inflammatory processes. Electrophoresis. 19(10). 1841–1847. 13 indexed citations
14.
Müllner, Stefan, et al.. (1996). Myocardial protection by pretreatment with Crataegus oxyacantha: an assessment by means of the release of lactate dehydrogenase by the ischemic and reperfused Langendorff heart.. PubMed. 46(1). 25–7. 13 indexed citations
15.
Müllner, Stefan, et al.. (1995). Leflunomide, a reversible inhibitor of pyrimidine biosynthesis?. Inflammation Research. 44(S2). S207–S208. 22 indexed citations
16.
17.
Müllner, Stefan, et al.. (1993). Charge Heterogeneity of Insulin Fusion Proteins Expressed in Escherichia coli Is Not Due to Proteolytic Degradation. Analytical Biochemistry. 210(2). 366–373. 4 indexed citations
18.
Müllner, Stefan, et al.. (1993). Purification and partial sequence of proteins involved in the cholic acid transport into rat liver hepatocytes. Journal of Protein Chemistry. 12(6). 765–769. 1 indexed citations
19.
Müllner, Stefan, H. Neubauer, & Wolfgang König. (1991). A radioimmunoassay for the determination of insulins from several animal species, insulin derivatives and insulin precursors in both their native and denatured state. Journal of Immunological Methods. 140(2). 211–218. 11 indexed citations
20.
Frimmer, M., et al.. (1989). Bile acid binding proteins in hepatocellular membranes of newborn and adult rats. Identification of transport proteins with azidobenzamidotauro[14C]cholate ([14C]ABATC). Biochimica et Biophysica Acta (BBA) - Biomembranes. 980(2). 161–168. 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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