Nobuyuki Murayama

609 citations
16 papers · 486 indexed · h-index 12

Nobuyuki Murayama

15 papers receiving 466 citations

Peers

Nobuyuki Murayama
Comparison fields: 5 of 69
  • Pharmacology 136
  • Internal Medicine 32
  • Oncology 182
  • Pediatrics, Perinatology and Child Health 106
  • Hematology 42
Replace Noriko Okudaira with:
Noriko Okudaira Japan
JL Anderson United States
Céline Narjoz France
Lynn M. Gorham United States
Mikael S. Thomsen Denmark
B. Kaufmann Germany
Anna Abrahamsson Sweden
Justin D. Lutz United States
T. Ikeda Japan
C. Michael Stein United States
Nobuyuki Murayama relative to Noriko Okudaira Japan Noriko Okudaira's profile →
Citations per field
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Noriko Okudaira · 1×
Citations per year

Countries citing papers authored by Nobuyuki Murayama

Since Specialization
Citations

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

Fields of papers citing papers by Nobuyuki Murayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 201630
2 201454
3 201325
4 201223
5 201160
6 201086
7 200781
8
A high throughput automated approach for cross species metabolite comparison using UPLC-TOF-MS
20063
9 20062
10 200334
11 200012
12 199943
13 19975
14 199612
15
Placental transfer and milk secretion of gadodiamide injection in rats.
199615
16 19961

About Nobuyuki Murayama

Nobuyuki Murayama is a scholar working on Pharmacology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 486 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Hormonal Regulation and Hypertension (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Plant-based Medicinal Research (2 papers), Pharmacological Effects and Toxicity Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Lanthanide and Transition Metal Complexes (1 paper). The work is most often cited by research in Pharmacology (136 citations), Internal Medicine (32 citations) and Oncology (182 citations). Nobuyuki Murayama has collaborated with scholars based in Japan and Germany. Frequent co-authors include Noriko Masubuchi, Takashi Izumi, Noriko Okudaira, Atsushi Kurihara, Hiroyuki Kusuhara, Yuichi Sugiyama, Osamu Okazaki, Katsuhisa Inoue, Hiroaki Yuasa and Yoshinori Imamura. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences and Clinical Pharmacology & Therapeutics.

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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