Michael Tapner

1.2k citations
27 papers · 1.0k · h-index 14

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Pharmacogenetics and Drug Metabolism 6
    • Drug-Induced Hepatotoxicity and Protection 4
    • Hepatocellular Carcinoma Treatment and Prognosis 3
    • Liver physiology and pathology 2

Michael Tapner

27 papers receiving 997 citations

Peers

Michael Tapner
Comparison fields: 5 of 94
  • Hepatology 263
  • Pharmacology 179
  • Radiation 118
  • Radiology, Nuclear Medicine and Imaging 199
  • Oncology 208
Replace Takumi Igura with:
Takumi Igura Japan
Bae Kwon Jeong South Korea
Yi‐Jen Liao Taiwan
Mong‐Wei Lin Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Michael Tapner

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tapner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Tapner, 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 Tapner Line = papers co-authored together Michael Tapner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015127
2 2009127
3 1998116
4 1997113
5 201664
6 200561
7 200360
8 199352
9 201748
10 200047
11 201745
12 199645
13 199734
14 201413
15 201513
16 201911
17 199611
18 199610
19 199610
20 201810

About Michael Tapner

Michael Tapner is a scholar working on Pharmacology, Hepatology, Oncology, Surgery and Radiation, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Radioactive Decay and Measurement Techniques (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Hepatology (263 citations), Pharmacology (179 citations), Radiation (118 citations), Radiology, Nuclear Medicine and Imaging (199 citations) and Oncology (208 citations). Michael Tapner has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Geoffrey C. Farrell, Bryan Goodwin, Christopher Liddle, Jacob George, Dale L. Bailey, Kathy Willowson, Philip Grimsley, Kathryn Quinn, Colin N. Chesterman and D. Owensby. Their work appears in journals such as Hepatology, EJNMMI Physics, EJNMMI Research, Journal of Gastroenterology and Hepatology and Journal of Hepatology.

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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