Michael Merz

2.8k total citations · 2 hit papers
46 papers, 1.8k citations indexed

About

Michael Merz is a scholar working on Pharmacology, Surgery and Epidemiology. According to data from OpenAlex, Michael Merz has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pharmacology, 12 papers in Surgery and 9 papers in Epidemiology. Recurrent topics in Michael Merz's work include Drug-Induced Hepatotoxicity and Protection (18 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Liver Disease Diagnosis and Treatment (8 papers). Michael Merz is often cited by papers focused on Drug-Induced Hepatotoxicity and Protection (18 papers), Pharmacogenetics and Drug Metabolism (15 papers) and Liver Disease Diagnosis and Treatment (8 papers). Michael Merz collaborates with scholars based in United States, Switzerland and Germany. Michael Merz's co-authors include Gerd A. Kullak‐Ublick, Guruprasad P. Aithal, Raúl J. Andrade, Paul B. Watkins, Neil Kaplowitz, Einar S. Björnsson, Ayako Suzuki, Peter End, Harshad Devarbhavi and Naga Chalasani and has published in prestigious journals such as Gastroenterology, PLoS ONE and Hepatology.

In The Last Decade

Michael Merz

44 papers receiving 1.8k citations

Hit Papers

Drug-induced liver injury 2017 2026 2020 2023 2019 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Drug-induced liver injury
    2019 537 citations Raúl J. Andrade, Naga Chalasani et al. Nature Reviews Disease Primers profile →
  2. Drug-induced liver injury: recent advances in diagnosis and risk assessment
    2017 344 citations Gerd A. Kullak‐Ublick, Raúl J. Andrade et al. Gut profile →

Peers

Michael Merz
Jessica Mwinyi Sweden
Francisco Abad‐Santos Spain
James F. McLeod United States
Hitoshi Tada Japan
B Gawrońska-Szklarz Poland
Kazuyuki Inoue Japan
Maria Słomka Poland
Kenji Watanabe Japan
Manuel Román Spain
Claudio D. Schteingart United States
Jessica Mwinyi Sweden
Michael Merz
Citations per year, relative to Michael Merz Michael Merz (= 1×) peers Jessica Mwinyi

Countries citing papers authored by Michael Merz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Merz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Merz

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Merz. A scholar is included among the top collaborators of Michael Merz 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 Michael Merz. Michael Merz 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.
Tillmann, Hans L., et al.. (2022). A novel quantitative computer-assisted drug-induced liver injury causality assessment tool (DILI-CAT). PLoS ONE. 17(9). e0271304–e0271304. 4 indexed citations
2.
Andrade, Raúl J., Naga Chalasani, Einar S. Björnsson, et al.. (2019). Drug-induced liver injury. Nature Reviews Disease Primers. 5(1). 58–58. 537 indexed citations breakdown →
3.
Brott, David, et al.. (2018). Are laboratory parameter (biomarker) values similar to the healthy volunteer reference range in all patient populations?. Drug Design Development and Therapy. Volume 12. 2757–2773. 1 indexed citations
4.
Kullak‐Ublick, Gerd A., Raúl J. Andrade, Michael Merz, et al.. (2017). Drug-induced liver injury: recent advances in diagnosis and risk assessment. Gut. 66(6). 1154–1164. 344 indexed citations breakdown →
5.
6.
Schadt, Heiko S., Armin Wolf, François Pognan, et al.. (2016). Bile acids in drug induced liver injury: Key players and surrogate markers. Clinics and Research in Hepatology and Gastroenterology. 40(3). 257–266. 65 indexed citations
7.
Weiler, Stefan, Michael Merz, & Gerd A. Kullak‐Ublick. (2015). Drug-induced liver injury: the dawn of biomarkers?. F1000Prime Reports. 7. 34–34. 30 indexed citations
8.
Kullak‐Ublick, Gerd A., Michael Merz, Louis Griffel, Neil Kaplowitz, & Paul B. Watkins. (2014). Liver Safety Assessment in Special Populations (Hepatitis B, C, and Oncology Trials). Drug Safety. 37(S1). 57–62. 25 indexed citations
9.
Regev, Arie, Leonard B. Seeff, Michael Merz, et al.. (2014). Causality Assessment for Suspected DILI During Clinical Phases of Drug Development. Drug Safety. 37(S1). 47–56. 48 indexed citations
10.
Merz, Michael, et al.. (2014). Biomechanical Comparison of Perpendicular Versus Oblique In Situ Screw Fixation of Slipped Capital Femoral Epiphysis. Journal of Pediatric Orthopaedics. 35(8). 816–820. 3 indexed citations
11.
Merz, Michael & Yasser R. Farid. (2014). Anterior Distal Femoral Osteotomy for Removal of Long Femoral Stems in Revision Knee Arthroplasty. The Journal of Arthroplasty. 29(7). 1423–1425. 6 indexed citations
12.
Avigan, Mark, Einar S. Björnsson, Markku Pasanen, et al.. (2014). Liver Safety Assessment: Required Data Elements and Best Practices for Data Collection and Standardization in Clinical Trials. Drug Safety. 37(S1). 19–31. 29 indexed citations
13.
Merz, Michael, et al.. (2014). Methodology to Assess Clinical Liver Safety Data. Drug Safety. 37(S1). 33–45. 29 indexed citations
14.
Chen, Emerson Y., Karl Baum, William Collins, et al.. (2012). Hepatitis E masquerading as drug-induced liver injury. Hepatology. 56(6). 2420–2423. 23 indexed citations
15.
Montag, Christian, Joshua W. Buckholtz, Péter Hartmann, et al.. (2008). COMT genetic variation affects fear processing: Psychophysiological evidence.. Behavioral Neuroscience. 122(4). 901–909. 104 indexed citations
16.
Seitz, K. & Michael Merz. (2008). Sonographische Ileusdiagnostik. Ultraschall in der Medizin - European Journal of Ultrasound. 19(6). 242–249. 5 indexed citations
17.
Yates, R. A., J. Wong, Michael Seiberling, et al.. (2001). The effect of anastrozole on the single‐dose pharmacokinetics and anticoagulant activity of warfarin in healthy volunteers. British Journal of Clinical Pharmacology. 51(5). 429–435. 23 indexed citations
18.
Degen, Lukas, Daniel Matzinger, Michael Merz, et al.. (2001). Tegaserod, a 5‐HT 4 receptor partial agonist, accelerates gastric emptying and gastrointestinal transit in healthy male subjects. Alimentary Pharmacology & Therapeutics. 15(11). 1745–1751. 175 indexed citations
19.
20.
Wiesner, Gunther, K. Wild, Michael Merz, & J. Hobbhahn. (1995). Aufwachzeiten, Kreislaufverhalten und unerwünschte Wirkungen bei Anwendung von Sevofluran und Enfluran - Eine offene, randomisierte, vergleichende Phase III-Studie. AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie. 30(5). 290–296. 3 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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