P.J. Meier

1.7k citations
20 papers · 1.4k indexed · h-index 14

Impact in

Papers in

    • Drug Transport and Resistance Mechanisms 16
    • Amino Acid Enzymes and Metabolism 4

P.J. Meier

20 papers receiving 1.4k citations

Peers

P.J. Meier
Comparison fields: 5 of 88
  • Oncology 1.0k
  • Pediatrics, Perinatology and Child Health 479
  • Pharmacology 185
  • Clinical Biochemistry 142
  • Biochemistry 144
Replace Marie V. St–Pierre with:
Marie V. St–Pierre Switzerland
Ann L. Craddock United States
Cindy Kunne Netherlands
Peter J. Meier Switzerland
Masayuki Kakyo Japan
Mieko Iwahashi United States
Margrit Schwarz United States
James L. Boyer United States
Hideyuki Motohashi Japan
Tomoko Hirohashi Japan
P.J. Meier relative to Marie V. St–Pierre Switzerland Marie V. St–Pierre's profile →
Citations per field
00.5×1.5×2.2×
Marie V. St–Pierre · 1×
Citations per year

Countries citing papers authored by P.J. Meier

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Meier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.J. Meier. 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 P.J. Meier. The network helps show where P.J. Meier may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2003169
2 200334
3 2002248
4 2001102
5 200098
6 200041
7 20001
8 199926
9 199816
10 19981
11 19971
12 199616
13 1996135
14 1994374
15 199149
16 19911
17 198990
18
[Benzodiazepine--practice and problems of its use].
19887
19
Deoxyribonucleic acid assessments on Feulgen-stained endometrial cells and comparison with fluorometric values on acridine-orange stained material.
19654
20 195814

About P.J. Meier

P.J. Meier is a scholar working on Oncology, Biochemistry, Clinical Biochemistry, Pharmaceutical Science and Nutrition and Dietetics, having authored 20 papers that have together received 1.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Amino Acid Enzymes and Metabolism (4 papers), Trace Elements in Health (3 papers), Metabolism and Genetic Disorders (3 papers), Pancreatic function and diabetes (3 papers), Neonatal Health and Biochemistry (2 papers), Drug Solubulity and Delivery Systems (2 papers) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Oncology (1.0k citations), Pediatrics, Perinatology and Child Health (479 citations), Pharmacology (185 citations), Clinical Biochemistry (142 citations) and Biochemistry (144 citations). P.J. Meier has collaborated with scholars based in Switzerland, Netherlands and Germany. Frequent co-authors include Bruno Hagenbuch, Bruno Stieger, Gerd A. Kullak‐Ublick, Gerd Folkers, Xavier Bossuyt, Michael Müller, Jonas Valantinas, G M Groothuis, Dirk Meijer and Hermann Koepsell. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Hepatology, Journal of Clinical Investigation, Clinics in Liver Disease and Current Drug Metabolism.

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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