C Götting

4.8k total citations
105 papers, 3.7k citations indexed

About

C Götting is a scholar working on Cell Biology, Molecular Biology and Genetics. According to data from OpenAlex, C Götting has authored 105 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cell Biology, 42 papers in Molecular Biology and 32 papers in Genetics. Recurrent topics in C Götting's work include Proteoglycans and glycosaminoglycans research (36 papers), Glycosylation and Glycoproteins Research (31 papers) and Skin and Cellular Biology Research (27 papers). C Götting is often cited by papers focused on Proteoglycans and glycosaminoglycans research (36 papers), Glycosylation and Glycoproteins Research (31 papers) and Skin and Cellular Biology Research (27 papers). C Götting collaborates with scholars based in Germany, United States and Austria. C Götting's co-authors include K Kleesiek, Joachim Kühn, Doris Hendig, Thomas Brinkmann, Armin Zittermann, Christiane Szliska, Reiner Köerfer, Bernd Stratmann, Sabine Frisch and Monica Negrean and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Journal of Molecular Biology.

In The Last Decade

C Götting

105 papers receiving 3.6k 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 Götting Germany 32 1.2k 1.2k 928 820 456 105 3.7k
Joachim Kühn Germany 30 942 0.8× 901 0.8× 388 0.4× 1.2k 1.5× 213 0.5× 118 3.5k
James J. Potter United States 39 2.0k 1.7× 518 0.4× 284 0.3× 1.1k 1.4× 576 1.3× 124 5.3k
Nichola Figg United Kingdom 36 2.6k 2.2× 350 0.3× 324 0.3× 227 0.3× 246 0.5× 67 5.6k
Takato Ueno Japan 40 1.7k 1.5× 533 0.5× 271 0.3× 718 0.9× 1.1k 2.4× 149 6.0k
Claudio Cabello‐Verrugio Chile 42 2.2k 1.9× 713 0.6× 349 0.4× 210 0.3× 209 0.5× 113 4.2k
Masaru Harada Japan 31 1.1k 1.0× 660 0.6× 297 0.3× 264 0.3× 197 0.4× 198 4.0k
Jeffrey L. Barnes United States 37 1.9k 1.6× 193 0.2× 268 0.3× 371 0.5× 430 0.9× 92 4.9k
Romano C. Pirola Australia 45 1.4k 1.2× 358 0.3× 376 0.4× 680 0.8× 452 1.0× 135 7.1k
Antonino Saitta Italy 30 669 0.6× 159 0.1× 331 0.4× 595 0.7× 501 1.1× 123 3.2k
Christian Fledelius Denmark 30 1.5k 1.2× 274 0.2× 407 0.4× 331 0.4× 1.0k 2.2× 57 4.3k

Countries citing papers authored by C Götting

Since Specialization
Citations

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

Fields of papers citing papers by C Götting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Götting

This figure shows the co-authorship network connecting the top 25 collaborators of C Götting. A scholar is included among the top collaborators of C Götting 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 Götting. C Götting 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.
Kühn, Joachim, et al.. (2014). ABCC6- a new player in cellular cholesterol and lipoprotein metabolism?. Lipids in Health and Disease. 13(1). 118–118. 31 indexed citations
2.
Hendig, Doris, Cornelius Knabbe, & C Götting. (2013). New insights into the pathogenesis of pseudoxanthoma elasticum and related soft tissue calcification disorders by identifying genetic interactions and modifiers. Frontiers in Genetics. 4. 114–114. 18 indexed citations
3.
Zarbock, Ralf, Doris Hendig, Christiane Szliska, K Kleesiek, & C Götting. (2010). Analysis of MMP2 promoter polymorphisms in patients with pseudoxanthoma elasticum. Clinica Chimica Acta. 411(19-20). 1487–1490. 13 indexed citations
4.
Frisch, Sabine, Armin Zittermann, Heiner K. Berthold, et al.. (2009). A randomized controlled trial on the efficacy of carbohydrate-reduced or fat-reduced diets in patients attending a telemedically guided weight loss program. Cardiovascular Diabetology. 8(1). 36–36. 70 indexed citations
5.
Speirs, H. J. L., et al.. (2009). Xylosyltransferase Gene Variants and Their Role in Essential Hypertension. American Journal of Hypertension. 22(4). 432–436. 2 indexed citations
6.
Götting, C, Doris Hendig, Ralf Zarbock, Christiane Szliska, & K Kleesiek. (2008). Complement Factor H Variant p.Y402H in Pseudoxanthoma Elasticum Patients. PubMed. 12(3). 431–436. 3 indexed citations
7.
Hendig, Doris, Ralf Zarbock, Christiane Szliska, K Kleesiek, & C Götting. (2008). The local calcification inhibitor matrix Gla protein in pseudoxanthoma elasticum. Clinical Biochemistry. 41(6). 407–412. 29 indexed citations
8.
Zittermann, Armin, Stefanie Schulze Schleithoff, C Götting, et al.. (2008). Poor Outcome in End-Stage Heart Failure Patients with Low Circulating Calcitriol Levels. European Journal of Heart Failure. 10(3). 321–327. 100 indexed citations
9.
Hendig, Doris, et al.. (2008). Elevated serum levels of intercellular adhesion molecule ICAM-1 in Pseudoxanthoma elasticum. Clinica Chimica Acta. 394(1-2). 54–58. 3 indexed citations
10.
Götting, C, Christian Prante, Martin Schillinger, et al.. (2008). Xylosyltransferase I variants and their impact on abdominal aortic aneurysms. Clinica Chimica Acta. 391(1-2). 41–45. 7 indexed citations
11.
Götting, C, et al.. (2007). Circulating P-, L- and E-selectins in pseudoxanthoma elasticum patients. Clinical Biochemistry. 41(6). 368–374. 7 indexed citations
12.
13.
Bahr, Claudia, Sylvia Schön, Joachim Kühn, et al.. (2006). Novel sequence variants in the human xylosyltransferase I gene and their role in diabetic nephropathy. Diabetic Medicine. 23(6). 681–684. 4 indexed citations
14.
Brinkmann, Thomas, et al.. (2006). Expression and characterization of wild-type TFPI and the [P151L]TFPI mutant in insect cells. Molecular and Cellular Biochemistry. 283(1-2). 31–38. 2 indexed citations
15.
Hendig, Doris, et al.. (2005). Novel Mutations in the ABC6 Gene of German Patients with Pseudoxanthoma Elasticum. Human Biology. 77(3). 367–384. 21 indexed citations
16.
Müller, Sandra, Sylvia Schön, Christian Prante, et al.. (2005). Serum xylosyltransferase I activity, the new biochemical fibrosis marker, is not affected by renal insufficiency. Clinical Biochemistry. 38(5). 486–488. 9 indexed citations
17.
Kühn, Joachim, et al.. (2003). High-density tissue-like cultivation of JAR choriocarcinoma cells for the in vitro production of human xylosyltransferase. Journal of Biotechnology. 103(2). 191–196. 11 indexed citations
18.
Götting, C, Doris Hendig, J Dreier, et al.. (2003). Assessment of a rapid-cycle PCR assay for the identification of the recurrent c.3421C>T mutation in the ABCC6 gene in pseudoxanthoma elasticum patients. Laboratory Investigation. 84(1). 122–130. 10 indexed citations
19.
Götting, C, et al.. (2003). Quantification of tissue factor pathway inhibitor in human seminal plasma and in human follicular fluid. Thrombosis Research. 109(5-6). 329–332. 11 indexed citations
20.
Götting, C, Joachim Kühn, Thomas Brinkmann, et al.. (1999). Serum Xylosyltransferase: a New Biochemical Marker of the Sclerotic Process in Systemic Sclerosis. Journal of Investigative Dermatology. 112(6). 919–924. 69 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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