Anne T. Schneider

1.5k total citations
19 papers, 766 citations indexed

About

Anne T. Schneider is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Anne T. Schneider has authored 19 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Epidemiology. Recurrent topics in Anne T. Schneider's work include MicroRNA in disease regulation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Circular RNAs in diseases (5 papers). Anne T. Schneider is often cited by papers focused on MicroRNA in disease regulation (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Circular RNAs in diseases (5 papers). Anne T. Schneider collaborates with scholars based in Germany, United Kingdom and Switzerland. Anne T. Schneider's co-authors include Tom Luedde, Mihael Vucur, Christian Trautwein, Frank Tacke, Christoph Roderburg, Jérémie Gautheron, Christiane Koppe, Mark Luedde, David Vargas Cardenas and Karina Kreggenwinkel and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Hepatology.

In The Last Decade

Anne T. Schneider

18 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne T. Schneider Germany 12 407 266 246 141 138 19 766
Alyssa Charrier United States 14 586 1.4× 217 0.8× 313 1.3× 113 0.8× 135 1.0× 18 891
Pinzhu Huang China 18 513 1.3× 198 0.7× 289 1.2× 137 1.0× 165 1.2× 50 978
Timo Itzel Germany 13 232 0.6× 235 0.9× 110 0.4× 61 0.4× 114 0.8× 29 603
Renay L. Bauer United States 11 269 0.7× 230 0.9× 99 0.4× 114 0.8× 318 2.3× 12 652
Uday Shergill United States 11 266 0.7× 204 0.8× 78 0.3× 142 1.0× 222 1.6× 15 722
Makoto Naito Japan 7 388 1.0× 227 0.9× 150 0.6× 151 1.1× 107 0.8× 16 774
Sang Jae Noh South Korea 19 515 1.3× 261 1.0× 193 0.8× 90 0.6× 53 0.4× 56 1.1k
Jonas Feilchenfeldt Switzerland 12 389 1.0× 87 0.3× 122 0.5× 88 0.6× 112 0.8× 14 868
Leslie E. Rogler United States 15 672 1.7× 168 0.6× 491 2.0× 231 1.6× 282 2.0× 21 1.1k
Tomoyuki Nemoto Japan 9 358 0.9× 178 0.7× 54 0.2× 103 0.7× 202 1.5× 30 723

Countries citing papers authored by Anne T. Schneider

Since Specialization
Citations

This map shows the geographic impact of Anne T. Schneider'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 Anne T. Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne T. Schneider more than expected).

Fields of papers citing papers by Anne T. Schneider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne T. Schneider. 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 Anne T. Schneider. The network helps show where Anne T. Schneider may publish in the future.

Co-authorship network of co-authors of Anne T. Schneider

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

All Works

19 of 19 papers shown
1.
Koppe, Christiane, Diran Herebıan, Anne T. Schneider, et al.. (2025). The ferroptosis mediator ACSL4 fails to prevent disease progression in mouse models of MASLD. Hepatology Communications. 9(6).
2.
Loosen, Sven H., Tom Florian Ulmer, Jan Bednarsch, et al.. (2022). Serum Levels of CXCL13 Are an Independent Predictor of Survival Following Resection of Biliary Tract Cancer. Cancers. 14(17). 4073–4073. 3 indexed citations
3.
Roderburg, Christoph, Jan Bednarsch, Sven Arke Lang, et al.. (2022). Elevated Serum Levels of CCL23 Are Associated with Poor Outcome after Resection of Biliary Tract Cancer. Mediators of Inflammation. 2022. 1–9. 3 indexed citations
4.
Gallage, Suchira, Adnan Ali, Jose Efren Barragan Avila, et al.. (2021). Spontaneous Cholemia in C57BL/6 Mice Predisposes to Liver Cancer in NASH. Cellular and Molecular Gastroenterology and Hepatology. 13(3). 875–878. 6 indexed citations
5.
Loosen, Sven H., Markus S. Jördens, Maximilian Schulze‐Hagen, et al.. (2021). Serum Levels of Soluble Urokinase Plasminogen Activator Receptor Predict Tumor Response and Outcome to Immune Checkpoint Inhibitor Therapy. Frontiers in Oncology. 11. 646883–646883. 12 indexed citations
6.
Loosen, Sven H., Theresa H. Wirtz, Sanchari Roy, et al.. (2020). Circulating levels of microRNA193a-5p predict outcome in early stage hepatocellular carcinoma. PLoS ONE. 15(9). e0239386–e0239386. 11 indexed citations
7.
Feoktistova, Maria, Anne T. Schneider, Guido Hooiveld, et al.. (2020). A20 Promotes Ripoptosome Formation and TNF-Induced Apoptosis via cIAPs Regulation and NIK Stabilization in Keratinocytes. Cells. 9(2). 351–351. 15 indexed citations
8.
Mérienne, Nicolas, Cécile Meunier, Anne T. Schneider, et al.. (2019). Cell-Type-Specific Gene Expression Profiling in Adult Mouse Brain Reveals Normal and Disease-State Signatures. Cell Reports. 26(9). 2477–2493.e9. 52 indexed citations
9.
Vucur, Mihael, Christoph Roderburg, Lukas Kaiser, et al.. (2018). Elevated Serum Levels of Mixed Lineage Kinase Domain-Like Protein Predict Survival of Patients during Intensive Care Unit Treatment. Disease Markers. 2018. 1–8. 19 indexed citations
10.
Loosen, Sven H., Christoph Roderburg, Alexander Koch, et al.. (2017). CEA but not CA19-9 is an independent prognostic factor in patients undergoing resection of cholangiocarcinoma. Scientific Reports. 7(1). 16975–16975. 63 indexed citations
11.
Bantel, Heike, Franziska Wandrer, Anne T. Schneider, et al.. (2017). miR-1224 inhibits cell proliferation in acute liver failure by targeting the antiapoptotic gene Nfib. Journal of Hepatology. 67(5). 966–978. 45 indexed citations
12.
Vucur, Mihael, Anne T. Schneider, Jérémie Gautheron, & Tom Luedde. (2017). The enigma of RIPK1 in the liver: More than just a kinase. Molecular & Cellular Oncology. 4(3). e1304191–e1304191. 6 indexed citations
13.
Roy, Sanchari, Sven H. Loosen, Christiane Koppe, et al.. (2017). miR-223 represents a biomarker in acute and chronic liver injury. Clinical Science. 131(15). 1971–1987. 33 indexed citations
14.
Schneider, Anne T., Jérémie Gautheron, Maria Feoktistova, et al.. (2017). RIPK1 suppresses a TRAF2-dependent pathway to liver cancer. Journal of Hepatology. 66(1). S229–S229. 10 indexed citations
15.
Roy, Sanchari, Fabian Benz, Heike Bantel, et al.. (2016). Down-regulation of miR-192-5p protects from oxidative stress-induced acute liver injury. Clinical Science. 130(14). 1197–1207. 60 indexed citations
16.
Roy, Sanchari, Fabian Benz, David Vargas Cardenas, et al.. (2015). miR‐30c and miR‐193 are a part of the TGF‐β‐dependent regulatory network controlling extracellular matrix genes in liver fibrosis. Journal of Digestive Diseases. 16(9). 513–524. 57 indexed citations
17.
Gautheron, Jérémie, Mihael Vucur, Florian Reisinger, et al.. (2014). A positive feedback loop between RIP 3 and JNK controls non‐alcoholic steatohepatitis. EMBO Molecular Medicine. 6(8). 1062–1074. 243 indexed citations
18.
Gautheron, Jérémie, Mihael Vucur, Ali Canbay, et al.. (2014). A positive feedback loop between RIP3 and JNK controls non-alcoholic steatohepatitis. RWTH Publications (RWTH Aachen). 24 indexed citations
19.
Roderburg, Christoph, Fabian Benz, David Vargas Cardenas, et al.. (2014). Elevated miR‐122 serum levels are an independent marker of liver injury in inflammatory diseases. Liver International. 35(4). 1172–1184. 104 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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