Satohiro Masuda

12.3k citations
191 papers · 8.8k indexed · h-index 49

Satohiro Masuda

189 papers receiving 8.6k citations

Peers

Satohiro Masuda
Comparison fields: 5 of 131
  • Transplantation 1.3k
  • Oncology 4.6k
  • Pediatrics, Perinatology and Child Health 2.9k
  • Clinical Biochemistry 783
  • Pharmacology 943
Replace Toshiya Katsura with:
Toshiya Katsura Japan
John D. Schuetz United States
Erin G. Schuetz United States
Ron H. N. van Schaik Netherlands
Jörg König Germany
Jatinder K. Lamba United States
Christian P. Strassburg Germany
Chantal Guillemette Canada
Victor W. Armstrong Germany
Deanna L. Kroetz United States
Satohiro Masuda relative to Toshiya Katsura Japan Toshiya Katsura's profile →
Citations per field
00.5×3.9×
Toshiya Katsura · 1×
Citations per year

Countries citing papers authored by Satohiro Masuda

Since Specialization
Citations

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

Fields of papers citing papers by Satohiro Masuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20231
3 202235
4 201831
5 201754
6 201572
7 201422
8
Association of transporter associated with antigen processing (TAP) gene polymorphisms in donors with acute cellular rejection in living donor liver transplantation.
20137
9 201317
10 201213
11 2008122
12 20071
13 200721
14 200615
15 2006271
16 2006287
17 200423
18 2004162
19 200487
20 2002127

About Satohiro Masuda

Satohiro Masuda is a scholar working on Transplantation, Oncology and Pediatrics, Perinatology and Child Health, having authored 191 papers that have together received 8.8k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (76 papers), Pharmacological Effects and Toxicity Studies (57 papers), Renal Transplantation Outcomes and Treatments (49 papers), Organ Transplantation Techniques and Outcomes (29 papers), Liver Disease and Transplantation (16 papers), Pregnancy and Medication Impact (14 papers), Metabolism and Genetic Disorders (14 papers) and Pharmacogenetics and Drug Metabolism (11 papers). The work is most often cited by research in Transplantation (1.3k citations), Oncology (4.6k citations) and Pediatrics, Perinatology and Child Health (2.9k citations). Satohiro Masuda has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ken‐ichi Inui, Toshiya Katsura, Hideyuki Saito, Atsushi Yonezawa, Osamu Ogawa, Masahiro Okuda, Maki Goto, Tomohiro Terada, Yumiko Urakami and Ikuko Yano. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, Biological and Pharmaceutical Bulletin, Biochemical Pharmacology, International Journal of Molecular Sciences and Journal of Pharmacology and Experimental 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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