Gerhard Mueller

962 total citations
33 papers, 592 citations indexed

About

Gerhard Mueller is a scholar working on Molecular Biology, General Health Professions and Epidemiology. According to data from OpenAlex, Gerhard Mueller has authored 33 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in General Health Professions and 4 papers in Epidemiology. Recurrent topics in Gerhard Mueller's work include Endoplasmic Reticulum Stress and Disease (3 papers), Chronic Disease Management Strategies (2 papers) and Antimicrobial Peptides and Activities (2 papers). Gerhard Mueller is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (3 papers), Chronic Disease Management Strategies (2 papers) and Antimicrobial Peptides and Activities (2 papers). Gerhard Mueller collaborates with scholars based in Germany, Austria and Switzerland. Gerhard Mueller's co-authors include Hassan Dihazi, Claudia Mueller, Gry H. Dihazi, Abdul R. Asif, Petra B. Schumacher, Thomas Flad, Alexander Beck, Radovan Vasko, Jonathan Tolson and Elske Ammenwerth and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Cell Science and Cochrane Database of Systematic Reviews.

In The Last Decade

Gerhard Mueller

31 papers receiving 580 citations

Peers

Gerhard Mueller
Katherine L. Tucker United Kingdom
J. M. Chaves United States
Amanda Johnson United States
Kendra G. Bowman United States
Odelya E. Pagovich United States
Yan Kim Russia
Dermot Gleeson United Kingdom
Joyce V. Lee Singapore
Shilpa Jain United States
Katherine L. Tucker United Kingdom
Gerhard Mueller
Citations per year, relative to Gerhard Mueller Gerhard Mueller (= 1×) peers Katherine L. Tucker

Countries citing papers authored by Gerhard Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerhard Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of Gerhard Mueller. A scholar is included among the top collaborators of Gerhard Mueller 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 Gerhard Mueller. Gerhard Mueller 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.
Hoffmann, Magdalena, Marie‐Madlen Jeitziner, Regina Riedl, et al.. (2023). Effects of an online information tool on post-traumatic stress disorder in relatives of intensive care unit patients: a multicenter double-blind, randomized, placebo-controlled trial (ICU-Families-Study). Intensive Care Medicine. 49(11). 1317–1326. 10 indexed citations
2.
Ammenwerth, Elske, et al.. (2019). Effects of Adult Patient Portals on Patient Empowerment and Health-Related Outcomes: A Systematic Review. Studies in health technology and informatics. 264. 1106–1110. 21 indexed citations
3.
Mueller, Gerhard, et al.. (2018). The effect of Therapeutic Touch on Back Pain in Adults on a Neurological Unit: An Experimental Pilot Study. Pain Management Nursing. 20(1). 75–81. 14 indexed citations
4.
Mueller, Gerhard, Michèle Morin, M. Marcotte, et al.. (2018). The OptimaMed intervention to reduce inappropriate medications in nursing home residents with severe dementia: results from a quasi-experimental feasibility pilot study. BMC Geriatrics. 18(1). 204–204. 19 indexed citations
5.
Trivedi, Rachana, et al.. (2016). The antioxidant protein PARK7 plays an important role in cell resistance to Cisplatin-induced apoptosis in case of clear cell renal cell carcinoma. European Journal of Pharmacology. 784. 99–110. 21 indexed citations
7.
Blaschke, Sabine, Thomas Flad, Susann Patschan, et al.. (2015). Haptoglobin-α1, -α2, vitamin D-binding protein and apolipoprotein C-III as predictors of etanercept drug response in rheumatoid arthritis. Arthritis Research & Therapy. 17(1). 45–45. 28 indexed citations
8.
Dihazi, Hassan, Gry H. Dihazi, Claudia Mueller, et al.. (2013). ERP57 secretion is important for extracellular matrix accumulation and renal fibrosis progression and is an earlier sign of disease onset. Journal of Cell Science. 126(Pt 16). 3649–63. 63 indexed citations
10.
Eing, C., et al.. (2012). On the variation of pulse parameters for PEF treatment of grape mash.. 2 indexed citations
11.
Dihazi, Hassan, Gry H. Dihazi, Olaf Jahn, et al.. (2011). Multipotent Adult Germline Stem Cells and Embryonic Stem Cells Functional Proteomics Revealed an Important Role of Eukaryotic Initiation Factor 5A (Eif5a) in Stem Cell Differentiation. Journal of Proteome Research. 10(4). 1962–1973. 15 indexed citations
12.
Vasko, Radovan, et al.. (2011). Impact of cisplatin administration on protein expression levels in renal cell carcinoma: A proteomic analysis. European Journal of Pharmacology. 670(1). 50–57. 16 indexed citations
13.
Agarwal, Nitin, et al.. (2010). Expression proteomics of acute promyelocytic leukaemia cells treated with methotrexate. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(4). 918–928. 16 indexed citations
14.
Dihazi, Hassan, Gry H. Dihazi, Claudia Mueller, et al.. (2010). Proteomics characterization of cell model with renal fibrosis phenotype: Osmotic stress as fibrosis triggering factor. Journal of Proteomics. 74(3). 304–318. 20 indexed citations
15.
Koziolek, Michael & Gerhard Mueller. (2009). Impact of LDL-Apheresis on inflammation and microcirculation. Atherosclerosis Supplements. 10(5). 56–58. 11 indexed citations
16.
Flad, Thomas, Hassan Dihazi, Ralf Bogumil, et al.. (2005). T cell epitope definition by differential mass spectrometry: Identification of a novel, immunogenic HLA‐B8 ligand directly from renal cancer tissue. PROTEOMICS. 6(1). 364–374. 12 indexed citations
17.
Flad, Thomas, Birgit Schittek, Jonathan Tolson, et al.. (2005). Cathepsin D Is Present in Human Eccrine Sweat and Involved in the Postsecretory Processing of the Antimicrobial Peptide DCD-1L. Journal of Biological Chemistry. 281(9). 5406–5415. 75 indexed citations
18.
Tolson, Jonathan, Thomas Flad, Volker Gnau, et al.. (2005). Differential detection of S100A8 in transitional cell carcinoma of the bladder by pair wise tissue proteomic and immunohistochemical analysis. PROTEOMICS. 6(2). 697–708. 59 indexed citations
19.
Flad, Thomas, Thomas Schiestel, Herwig Brunner, et al.. (2003). Development of an MHC-class I peptide selection assay combining nanoparticle technology and matrix-assisted laser desorption/ionisation mass spectrometry. Journal of Immunological Methods. 283(1-2). 205–213. 6 indexed citations
20.
Weiss, Matthias, et al.. (1983). Tomoscintigraphic assessment of myocardial metabolic heterogenity.. PubMed. 24(4). 285–96. 14 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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