Hartmut Jaeschke
Impact in
- Pharmacology top 0.01%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Hepatology top 0.02%
- Liver Disease and Transplantation
- Liver physiology and pathology
Papers in
- Pharmacology 273
- Drug-Induced Hepatotoxicity and Protection 271
- Pharmacogenetics and Drug Metabolism 35
- Hepatology 195
- Liver Disease and Transplantation 138
- Liver physiology and pathology 57
- Co-authors
- Anwar I. Farhood (69 shared papers)Anup Ramachandran (92 shared papers)Mitchell R. McGill (74 shared papers)Mary Lynn Bajt (34 shared papers)John J. Lemasters (20 shared papers)Benjamin Leeland Woolbright (41 shared papers)C. David Williams (22 shared papers)C. Wayne Smith (9 shared papers)
- Journals
- Hepatology (65 papers)Toxicological Sciences (34 papers)Toxicology and Applied Pharmacology (33 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (21 papers)Archives of Toxicology (19 papers)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Hartmut Jaeschke
470 papers receiving 40.8k citations
Hartmut Jaeschke's Hit Papers
Peers
Comparison fields: 5 of 177
- Pharmacology 16.3k
- Hepatology 11.7k
- Epidemiology 9.7k
- Biochemistry 1.7k
- Oncology 5.5k
Countries citing papers authored by Hartmut Jaeschke
This map shows the geographic impact of Hartmut Jaeschke'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 Hartmut Jaeschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hartmut Jaeschke more than expected).
Fields of papers citing papers by Hartmut Jaeschke
This network shows the impact of papers produced by Hartmut Jaeschke. 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 Hartmut Jaeschke. The network helps show where Hartmut Jaeschke may publish in the future.
Co-authors
The 25 scholars most cited alongside Hartmut Jaeschke, 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 475 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | Mechanisms of Hepatotoxicity Hit paper breakdown → | 2002 | 1128 |
| 3 | Recent advances in 2D and 3D in vitro systems using primary hepatocytes, alternative hepatocyte sources and non-parenchymal liver cells and their use in investigating mechanisms of hepatotoxicity, cell signaling and ADME Hit paper breakdown → | 2013 | 1042 |
| 4 | Oxidant stress, mitochondria, and cell death mechanisms in drug-induced liver injury: Lessons learned from acetaminophen hepatotoxicity Hit paper breakdown → | 2012 | 789 |
| 5 | Molecular mechanisms of hepatic ischemia-reperfusion injury and preconditioning Hit paper breakdown → | 2003 | 744 |
| 6 | Neutrophils contribute to ischemia/reperfusion injury in rat liver in vivo Hit paper breakdown → | 1990 | 660 |
| 7 | The mechanism underlying acetaminophen-induced hepatotoxicity in humans and mice involves mitochondrial damage and nuclear DNA fragmentation Hit paper breakdown → | 2012 | 639 |
| 8 | Neutrophil and Kupffer cell-induced oxidant stress and ischemia-reperfusion injury in rat liver Hit paper breakdown → | 1991 | 585 |
| 9 | Metabolism and Disposition of Acetaminophen: Recent Advances in Relation to Hepatotoxicity and Diagnosis Hit paper breakdown → | 2013 | 568 |
| 10 | 2003 | 522 | |
| 11 | Reactive oxygen and mechanisms of inflammatory liver injury: Present concepts Hit paper breakdown → | 2011 | 513 |
| 12 | Oxidative stress during acetaminophen hepatotoxicity: Sources, pathophysiological role and therapeutic potential Hit paper breakdown → | 2016 | 477 |
| 13 | 2005 | 449 | |
| 14 | 2004 | 437 | |
| 15 | Bile Acids Induce Inflammatory Genes in Hepatocytes Hit paper breakdown → | 2011 | 435 |
| 16 | 2006 | 420 | |
| 17 | Acetaminophen hepatotoxicity and repair: the role of sterile inflammation and innate immunity Hit paper breakdown → | 2011 | 409 |
| 18 | 1997 | 391 | |
| 19 | 2003 | 390 | |
| 20 | Activation of Autophagy Protects Against Acetaminophen–Induced Hepatotoxicity Hit paper breakdown → | 2011 | 383 |
About Hartmut Jaeschke
Hartmut Jaeschke is a scholar working on Pharmacology, Hepatology, Epidemiology, Oncology and Immunology, having authored 475 papers that have together received 41.8k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (271 papers), Liver Disease and Transplantation (138 papers), Liver Disease Diagnosis and Treatment (108 papers), Drug Transport and Resistance Mechanisms (86 papers), Organ Transplantation Techniques and Outcomes (58 papers), Liver physiology and pathology (57 papers), Immune Response and Inflammation (44 papers) and Pharmacogenetics and Drug Metabolism (35 papers). The work is most often cited by research in Pharmacology (16.3k citations), Hepatology (11.7k citations), Epidemiology (9.7k citations), Biochemistry (1.7k citations) and Oncology (5.5k citations). Hartmut Jaeschke has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Anwar I. Farhood, Anup Ramachandran, Mitchell R. McGill, Mary Lynn Bajt, John J. Lemasters, Benjamin Leeland Woolbright, C. David Williams, C. Wayne Smith, Yuchao Xie and Kuo Du. Their work appears in journals such as Hepatology, Toxicological Sciences, Toxicology and Applied Pharmacology, American Journal of Physiology-Gastrointestinal and Liver Physiology and Archives of Toxicology.
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.