H. Matern

1.4k citations
37 papers · 1.2k · h-index 19

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

H. Matern

37 papers receiving 1.1k citations

Peers

H. Matern
Comparison fields: 5 of 81
  • Pharmacology 228
  • Oncology 429
  • Clinical Biochemistry 66
  • Cell Biology 162
  • Molecular Biology 564
Replace Harry W. Chen with:
Harry W. Chen United States
R. C. Simsiman United States
J M Trzaskos United States
Sam Sorof United States
George Melnykovych United States
N. Shafqat United Kingdom
Robert C. Gaver United States
Louise M. Nutter United States
Inmaculada Royo Spain
Raffaella Dell’Eva Italy
H. Matern relative to Harry W. Chen United States Harry W. Chen's profile →
Citations per field
00.5×3.7×
Harry W. Chen · 1×
Citations per year

Countries citing papers authored by H. Matern

Since Specialization
Citations

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

Fields of papers citing papers by H. Matern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006191
2 197789
3 199282
4 198280
5 197456
6 198456
7 199448
8 198947
9 198743
10 200142
11 199741
12 197439
13 199438
14 198437
15 198735
16 199131
17 199431
18 198030
19 198719
20 197418

About H. Matern

H. Matern is a scholar working on Oncology, Molecular Biology, Pharmacology, Surgery and Epidemiology, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (20 papers), Pharmacogenetics and Drug Metabolism (6 papers), Glycosylation and Glycoproteins Research (5 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Metabolism and Genetic Disorders (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Pharmacology (228 citations), Oncology (429 citations), Clinical Biochemistry (66 citations), Cell Biology (162 citations) and Molecular Biology (564 citations). H. Matern has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include S Matern, Helmut Holzer, Siegfried Matern, W. Gerok, Hanns–Ulrich Marschall, Jan Sjövall, B Egestad, H. Wietholtz, David W. Russell and Jeremy C. Allegood. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, European Journal of Biochemistry, Journal of Clinical Investigation 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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