C A Müller

1.1k total citations
17 papers, 934 citations indexed

About

C A Müller is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, C A Müller has authored 17 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in C A Müller's work include Hormonal Regulation and Hypertension (4 papers), Hormonal and reproductive studies (3 papers) and Stress Responses and Cortisol (2 papers). C A Müller is often cited by papers focused on Hormonal Regulation and Hypertension (4 papers), Hormonal and reproductive studies (3 papers) and Stress Responses and Cortisol (2 papers). C A Müller collaborates with scholars based in Germany, France and United States. C A Müller's co-authors include Robert Morfin, Holger Hebart, Jürgen Löffler, Lothar Kanz, Ulrike Schumacher, Jo‐Anne van Burik, Dan Engelhard, Hermann Einsele, Raleigh A. Bowden and Gerhard A. Müller and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and Journal of Clinical Microbiology.

In The Last Decade

C A Müller

17 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C A Müller Germany 10 397 372 175 127 125 17 934
Rajni Rani India 20 245 0.6× 229 0.6× 255 1.5× 252 2.0× 116 0.9× 51 1.1k
S H Han Taiwan 21 458 1.2× 131 0.4× 190 1.1× 274 2.2× 49 0.4× 50 1.4k
Mei Mei Ho United Kingdom 22 298 0.8× 400 1.1× 48 0.3× 516 4.1× 359 2.9× 64 1.5k
Ko Sato Japan 14 263 0.7× 231 0.6× 19 0.1× 345 2.7× 58 0.5× 73 974
S. Freier Israel 22 146 0.4× 94 0.3× 47 0.3× 199 1.6× 152 1.2× 75 1.3k
Maurine R. Hobbs United States 21 280 0.7× 98 0.3× 45 0.3× 403 3.2× 28 0.2× 31 1.4k
Balachandran Ravindran India 20 174 0.4× 380 1.0× 16 0.1× 227 1.8× 35 0.3× 48 1.5k
Thiago J. Borges United States 23 164 0.4× 133 0.4× 80 0.5× 424 3.3× 23 0.2× 58 1.3k
Fred Allison United States 15 152 0.4× 106 0.3× 39 0.2× 80 0.6× 54 0.4× 32 650

Countries citing papers authored by C A Müller

Since Specialization
Citations

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

Fields of papers citing papers by C A Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C A Müller. 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 C A Müller. The network helps show where C A Müller may publish in the future.

Co-authorship network of co-authors of C A Müller

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

All Works

17 of 17 papers shown
1.
Borchers, Sylvia, C A Müller, Viktor Umansky, et al.. (2017). Detection of ABCB5 tumour antigen-specific CD8+ T cells in melanoma patients and implications for immunotherapy. Clinical & Experimental Immunology. 191(1). 74–83. 8 indexed citations
2.
Müller, C A, Denis Pompon, Philippe Urban, & Robert Morfin. (2006). Inter-conversion of 7α- and 7β-hydroxy-dehydroepiandrosterone by the human 11β-hydroxysteroid dehydrogenase type 1. The Journal of Steroid Biochemistry and Molecular Biology. 99(4-5). 215–222. 69 indexed citations
3.
Müller, C A, Olivier Hennebert, & Robert Morfin. (2006). The native anti-glucocorticoid paradigm. The Journal of Steroid Biochemistry and Molecular Biology. 100(1-3). 95–105. 44 indexed citations
4.
Pélissier, M.A., C A Müller, Martin Hill, & Robert Morfin. (2005). Protection against dextran sodium sulfate-induced colitis by dehydroepiandrosterone and 7α-hydroxy-dehydroepiandrosterone in the rat. Steroids. 71(3). 240–248. 39 indexed citations
5.
Müller, C A, Françoise Cluzeaud, Grégory Pinon, Marie‐Edith Rafestin‐Oblin, & Robert Morfin. (2004). Dehydroepiandrosterone and its 7-hydroxylated metabolites do not interfere with the transactivation and cellular trafficking of the glucocorticoid receptor. The Journal of Steroid Biochemistry and Molecular Biology. 92(5). 469–476. 25 indexed citations
6.
Guerrero, Belsy, et al.. (2001). Thrombolytic effect of lonomin V in a rabbit jugular vein thrombosis model. Blood Coagulation & Fibrinolysis. 12(7). 521–529. 8 indexed citations
7.
Uhlemann, Anne‐Catrin, C A Müller, Johannes Madlung, Erich Gulbins, & Florian Läng. (2000). Inhibition of CD95/Fas-Induced DNA Degradation by Osmotic Cell Shrinkage. Cellular Physiology and Biochemistry. 10(4). 219–228. 5 indexed citations
8.
Hebart, Holger, Arne Schröder, Jürgen Löffler, et al.. (1997). Cytomegalovirus Monitoring by Polymerase Chain Reaction of Whole Blood Samples from Patients Undergoing Autologous Bone Marrow or Peripheral Blood Progenitor Cell Transplantation. The Journal of Infectious Diseases. 175(6). 1490–1493. 37 indexed citations
9.
Brenner, Birgit, Ursula Koppenhoefer, Albrecht Lepple‐Wienhues, et al.. (1997). The CD40 Ligand Directly Activates T-Lymphocytes via Tyrosine Phosphorylation Dependent PKC Activation. Biochemical and Biophysical Research Communications. 239(1). 11–17. 45 indexed citations
10.
Einsele, Hermann, Holger Hebart, Jürgen Löffler, et al.. (1997). Detection and identification of fungal pathogens in blood by using molecular probes. Journal of Clinical Microbiology. 35(6). 1353–1360. 459 indexed citations
11.
Melms, Arthur, Jorge R. Oksenberg, Georg Malcherek, et al.. (1993). T‐Cell Receptor Gene Usage of Acetylcholine Receptor‐specific T‐Helper Cells. Annals of the New York Academy of Sciences. 681(1). 313–314. 10 indexed citations
12.
Böhle, A., Manfred Wehrmann, O. Bogenschütz, et al.. (1992). The Long-Term Prognosis of the of the Primary Glomerulonephritides. Pathology - Research and Practice. 188(7). 908–924. 111 indexed citations
13.
Markovic‐Lipkovski, Jasmina, C A Müller, W Kühn, et al.. (1992). Human cytomegalovirus in rejected kidney grafts; detection by polymerase chain reaction. Nephrology Dialysis Transplantation. 7(8). 865–870. 8 indexed citations
14.
Melms, Arthur, Jorge R. Oksenberg, Georg Malcherek, et al.. (1991). T cell receptor variability in myasthenia gravis. Journal of Neuroimmunology. 35. 105–105. 1 indexed citations
15.
Saal, J. G., P Fritz, Manfred Zierhut, et al.. (1991). [Keratomalacia in rheumatoid arthritis: immunohistologic and enzyme histochemical studies].. PubMed. 50(3). 151–9. 7 indexed citations
16.
Böhle, A., et al.. (1989). The Pathogenesis of Chronic Renal Failure. Pathology - Research and Practice. 185(4). 421–440. 55 indexed citations
17.
Hartmann, F, et al.. (1987). [Ulcerative colitis caused by oral gold therapy in rheumatoid arthritis].. PubMed. 46(4). 201–4. 3 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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