Michael D. Wheeler

72 papers receiving 4.7k citations

Michael D. Wheeler's Hit Papers

Essential role of tumor necrosis factor α in alcohol-induced liver injury in mice 1999 · 584 citations
5840+9+18Years since publication100200300400500

Peers

Michael D. Wheeler
Comparison fields: 5 of 142
  • Pathology and Forensic Medicine 1.6k
  • Hepatology 610
  • Biochemistry 459
  • Epidemiology 1.6k
  • Pharmacology 342
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Citations per year

Countries citing papers authored by Michael D. Wheeler

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Wheeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael D. Wheeler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Wheeler Line = papers co-authored together Michael D. Wheeler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Essential role of tumor necrosis factor α in alcohol-induced liver injury in mice
Hit paper breakdown →
1999584
2 2006330
3 2001219
4 2003207
5 2001193
6 2001167
7 2002149
8 1999147
9
Endotoxin and Kupffer cell activation in alcoholic liver disease.
2003132
10 2004130
11 2005130
12 2009129
13 2000125
14 2000109
15 2001107
16 2006105
17 2002101
18 200083
19
Adenoviral gene delivery can inactivate Kupffer cells: role of oxidants in NF-kappaB activation and cytokine production.
200179
20 199978

About Michael D. Wheeler

Michael D. Wheeler is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Epidemiology, Surgery and Immunology, having authored 77 papers that have together received 4.8k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (22 papers), Liver Disease Diagnosis and Treatment (14 papers), Immune Response and Inflammation (10 papers), Organ Transplantation Techniques and Outcomes (9 papers), Eicosanoids and Hypertension Pharmacology (8 papers), Liver physiology and pathology (6 papers), Ion channel regulation and function (6 papers) and Fatty Acid Research and Health (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Hepatology (610 citations), Biochemistry (459 citations), Epidemiology (1.6k citations) and Pharmacology (342 citations). Michael D. Wheeler has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Ronald G. Thurman, Blair U. Bradford, Ming Yin, Matthias Froh, Ian N. Hines, Hiroshi Kono, Ivan Rusyn, Michael I. Luster, Randle M. Gallucci and Ronald P. Mason. Their work appears in journals such as Hepatology, American Journal of Physiology-Gastrointestinal and Liver Physiology, Gastroenterology, Transplantation and Alcoholism Clinical and Experimental Research.

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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