L Wickert

813 total citations
20 papers, 677 citations indexed

About

L Wickert is a scholar working on Molecular Biology, Genetics and Hepatology. According to data from OpenAlex, L Wickert has authored 20 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Hepatology. Recurrent topics in L Wickert's work include Liver physiology and pathology (7 papers), TGF-β signaling in diseases (7 papers) and Estrogen and related hormone effects (4 papers). L Wickert is often cited by papers focused on Liver physiology and pathology (7 papers), TGF-β signaling in diseases (7 papers) and Estrogen and related hormone effects (4 papers). L Wickert collaborates with scholars based in Germany, United States and Netherlands. L Wickert's co-authors include Axel M. Gressner, K Breitkopf, Steven Dooley, F. Bidlingmaier, Harun M. Said, Iris Sawitza, Eliza Wiercinska, Jürgen Floege, Claudia R.C. van Roeyen and Michael Ludwig and has published in prestigious journals such as Journal of Biological Chemistry, Hepatology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

L Wickert

20 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L Wickert Germany 14 329 190 113 105 96 20 677
Masanori Inoue Japan 14 149 0.5× 98 0.5× 61 0.5× 32 0.3× 32 0.3× 56 853
J Coll Spain 17 415 1.3× 54 0.3× 89 0.8× 113 1.1× 57 0.6× 46 1.1k
Hideaki Tanaka Japan 15 344 1.0× 48 0.3× 119 1.1× 41 0.4× 134 1.4× 39 995
María‐José Barrera Chile 18 372 1.1× 41 0.2× 75 0.7× 105 1.0× 60 0.6× 38 925
Aizhen Zhao China 11 220 0.7× 33 0.2× 47 0.4× 122 1.2× 57 0.6× 19 485
David Brodin Sweden 17 495 1.5× 37 0.2× 109 1.0× 85 0.8× 25 0.3× 30 890
Zhenbiao Wu China 17 241 0.7× 27 0.1× 48 0.4× 35 0.3× 44 0.5× 59 949
Naoki Hino Japan 12 202 0.6× 57 0.3× 47 0.4× 51 0.5× 11 0.1× 34 514
Chengliu Jin United States 23 1.3k 4.0× 169 0.9× 232 2.1× 174 1.7× 73 0.8× 32 1.8k
Tsung‐Chuan Ho Taiwan 16 340 1.0× 34 0.2× 58 0.5× 38 0.4× 12 0.1× 28 689

Countries citing papers authored by L Wickert

Since Specialization
Citations

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

Fields of papers citing papers by L Wickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Wickert

This figure shows the co-authorship network connecting the top 25 collaborators of L Wickert. A scholar is included among the top collaborators of L Wickert 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 L Wickert. L Wickert 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.
Johnen, Sandra, et al.. (2011). Presence of Xenogenic Mouse RNA in RPE and IPE Cells Cultured on Mitotically Inhibited 3T3 Fibroblasts. Investigative Ophthalmology & Visual Science. 52(5). 2817–2817. 7 indexed citations
2.
Wickert, L, et al.. (2007). Glucocorticoids activate TGF-β induced PAI-1 and CTGF expression in rat hepatocytes. PubMed. 6(1). 5–5. 35 indexed citations
3.
Wickert, L, et al.. (2007). Die quantitative Real‐Time‐PCR (qRT‐PCR). Methoden und Anwendungsgebiete. Biologie in unserer Zeit. 37(2). 120–126. 8 indexed citations
4.
Wiercinska, Eliza, L Wickert, Bernd Denecke, et al.. (2006). Id1 is a critical mediator in TGF-β–induced transdifferentiation of rat hepatic stellate cells. Hepatology. 43(5). 1032–1041. 123 indexed citations
5.
Lindert, Steffen, L Wickert, Iris Sawitza, et al.. (2005). Transdifferentiation-dependent expression of α-SMA in hepatic stellate cells does not involve TGF-β pathways leading to coinduction of collagen type I and thrombospondin-2. Matrix Biology. 24(3). 198–207. 38 indexed citations
6.
Kopp, Jürgen, Harun M. Said, B. Hafemann, et al.. (2005). Abrogation of Transforming Growth Factor-β Signaling by SMAD7 Inhibits Collagen Gel Contraction of Human Dermal Fibroblasts. Journal of Biological Chemistry. 280(22). 21570–21576. 79 indexed citations
7.
Breitkopf, K, Claudia R.C. van Roeyen, Iris Sawitza, et al.. (2005). Expression patterns of PDGF-A, -B, -C and -D and the PDGF-receptors α and β in activated rat hepatic stellate cells (HSC). Cytokine. 31(5). 349–357. 87 indexed citations
8.
Hahn, Daniela, et al.. (2004). Glucocorticoids decrease the bioavailability of TGF-β which leads to a reduced TGF-β signaling in hepatic stellate cells. Biochemical and Biophysical Research Communications. 325(4). 1264–1270. 49 indexed citations
9.
10.
Wickert, L & Joachim Selbig. (2002). Structural analysis of the DNA-binding domain of alternatively spliced steroid receptors. Journal of Endocrinology. 173(3). 429–436. 12 indexed citations
11.
12.
Wickert, L, Joachim Selbig, Matthias Watzka, et al.. (2000). Differential mRNA Expression of the Two Mineralocorticoid Receptor Splice Variants Within the Human Brain: Structure Analysis of their Different DNA Binding Domains. Journal of Neuroendocrinology. 12(9). 867–873. 18 indexed citations
13.
Ludwig, Malte, et al.. (1998). Female Pseudohermaphroditism Associated with a Novel Homozygous G-to-A (V370-to-M) Substitution in the P-450 Aromatase Gene. Journal of Pediatric Endocrinology and Metabolism. 11(5). 657–64. 50 indexed citations
14.
Ludwig, Michael, et al.. (1998). Common polymorphisms in genes encoding the human mineralocorticoid receptor and the human amiloride-sensitive sodium channel. The Journal of Steroid Biochemistry and Molecular Biology. 64(5-6). 227–230. 25 indexed citations
15.
Wickert, L, et al.. (1998). Mineralocorticoid receptor splice variants in different human tissues. European Journal of Endocrinology. 138(6). 702–704. 19 indexed citations
16.
Ludwig, Michael, et al.. (1998). Structural organisation of the gene encoding the α-subunit of the human amiloride-sensitive epithelial sodium channel. Human Genetics. 102(5). 576–581. 27 indexed citations
17.
Stoffel‐Wagner, Birgit, Matthias Watzka, Stephan Steckelbroeck, et al.. (1998). Expression of 5α-Reductase in the Human Temporal Lobe of Children and Adults1. The Journal of Clinical Endocrinology & Metabolism. 83(10). 3636–3642. 32 indexed citations
18.
Wagener, Christoph, L Wickert, & John E. Shively. (1990). [59] Quantification of carcinoembryonic antigen in serum and analysis of epitope specificities of monoclonal antibodies. Methods in enzymology on CD-ROM/Methods in enzymology. 184. 507–518. 3 indexed citations
19.
20.
Wagener, Christoph, L Wickert, & Wayne M. Meyers. (1989). Limited Improvement of Tumour Diagnosis by the Simultaneous Determination of Carcinoembryonic Antigen (CEA) and of a Tumour-Associated CEA-Related Antigen of Mr 128000 in Serum. Clinical Chemistry and Laboratory Medicine (CCLM). 27(9). 643–52. 4 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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