Tom Luedde
Impact in
- Hepatology top 0.05%
- Liver physiology and pathology
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 0.5%
- MicroRNA in disease regulation
Papers in
- Hepatology 116
- Liver physiology and pathology 66
- Hepatocellular Carcinoma Treatment and Prognosis 37
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- MicroRNA in disease regulation 28
- NF-κB Signaling Pathways 17
- Co-authors
- Christian Trautwein (145 shared papers)Robert F. Schwabe (7 shared papers)Frank Tacke (133 shared papers)Christoph Roderburg (71 shared papers)Mihael Vucur (69 shared papers)Nikolaus Gaßler (17 shared papers)Henning Wolfgang Zimmermann (15 shared papers)Christoph Roderburg (128 shared papers)
- Journals
- Journal of Hepatology (29 papers)Cancers (29 papers)Journal of Clinical Medicine (24 papers)Hepatology (22 papers)PLoS ONE (17 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Tom Luedde
464 papers receiving 32.9k citations
Tom Luedde's Hit Papers
Peers
Comparison fields: 5 of 168
- Hepatology 7.1k
- Cancer Research 2.7k
- Health Informatics 380
- Epidemiology 4.9k
- Oncology 2.7k
Countries citing papers authored by Tom Luedde
This map shows the geographic impact of Tom Luedde'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 Tom Luedde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Luedde more than expected).
Fields of papers citing papers by Tom Luedde
This network shows the impact of papers produced by Tom Luedde. 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 Tom Luedde. The network helps show where Tom Luedde may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Luedde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 491 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018 Hit paper breakdown → | 2018 | 5362 |
| 2 | Senescence surveillance of pre-malignant hepatocytes limits liver cancer development Hit paper breakdown → | 2011 | 1349 |
| 3 | NF-κB in the liver—linking injury, fibrosis and hepatocellular carcinoma Hit paper breakdown → | 2011 | 1177 |
| 4 | NASH limits anti-tumour surveillance in immunotherapy-treated HCC Hit paper breakdown → | 2021 | 1029 |
| 5 | Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer Hit paper breakdown → | 2019 | 1022 |
| 6 | Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study Hit paper breakdown → | 2019 | 785 |
| 7 | Micro-RNA profiling reveals a role for miR-29 in human and murine liver fibrosis Hit paper breakdown → | 2010 | 693 |
| 8 | Hepatic recruitment of the inflammatory Gr1+ monocyte subset upon liver injury promotes hepatic fibrosis # Hit paper breakdown → | 2009 | 688 |
| 9 | Cell Death and Cell Death Responses in Liver Disease: Mechanisms and Clinical Relevance Hit paper breakdown → | 2014 | 638 |
| 10 | A new type of microglia gene targeting shows TAK1 to be pivotal in CNS autoimmune inflammation Hit paper breakdown → | 2013 | 581 |
| 11 | Pharmacological inhibition of the chemokine CCL2 (MCP-1) diminishes liver macrophage infiltration and steatohepatitis in chronic hepatic injury Hit paper breakdown → | 2011 | 528 |
| 12 | 2007 | 521 | |
| 13 | Deep learning in cancer pathology: a new generation of clinical biomarkers Hit paper breakdown → | 2020 | 482 |
| 14 | Pan-cancer image-based detection of clinically actionable genetic alterations Hit paper breakdown → | 2020 | 475 |
| 15 | Apoptosis and necroptosis in the liver: a matter of life and death Hit paper breakdown → | 2018 | 474 |
| 16 | Therapeutic inhibition of inflammatory monocyte recruitment reduces steatohepatitis and liver fibrosis Hit paper breakdown → | 2017 | 470 |
| 17 | 2008 | 350 | |
| 18 | 2015 | 335 | |
| 19 | Necroptosis microenvironment directs lineage commitment in liver cancer Hit paper breakdown → | 2018 | 329 |
| 20 | Chemokine (C‐C motif) receptor 2–positive monocytes aggravate the early phase of acetaminophen‐induced acute liver injury Hit paper breakdown → | 2016 | 287 |
About Tom Luedde
Tom Luedde is a scholar working on Hepatology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 491 papers that have together received 33.4k indexed citations. Recurring topics across this work include Liver physiology and pathology (66 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (46 papers), Liver Disease Diagnosis and Treatment (38 papers), Hepatocellular Carcinoma Treatment and Prognosis (37 papers), MicroRNA in disease regulation (28 papers), Sepsis Diagnosis and Treatment (22 papers), Cell death mechanisms and regulation (21 papers) and NF-κB Signaling Pathways (17 papers). The work is most often cited by research in Hepatology (7.1k citations), Cancer Research (2.7k citations), Health Informatics (380 citations), Epidemiology (4.9k citations) and Oncology (2.7k citations). Tom Luedde has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian Trautwein, Robert F. Schwabe, Frank Tacke, Christoph Roderburg, Mihael Vucur, Nikolaus Gaßler, Henning Wolfgang Zimmermann, Christoph Roderburg, Neil Kaplowitz and Sven Heiko Loosen. Their work appears in journals such as Journal of Hepatology, Cancers, Journal of Clinical Medicine, Hepatology and PLoS ONE.
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.