Miwa Uesugi

589 total citations
11 papers, 461 citations indexed

About

Miwa Uesugi is a scholar working on Surgery, Transplantation and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Miwa Uesugi has authored 11 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Transplantation and 6 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Miwa Uesugi's work include Organ Transplantation Techniques and Outcomes (8 papers), Renal Transplantation Outcomes and Treatments (7 papers) and Pharmacological Effects and Toxicity Studies (6 papers). Miwa Uesugi is often cited by papers focused on Organ Transplantation Techniques and Outcomes (8 papers), Renal Transplantation Outcomes and Treatments (7 papers) and Pharmacological Effects and Toxicity Studies (6 papers). Miwa Uesugi collaborates with scholars based in Japan and United States. Miwa Uesugi's co-authors include Satohiro Masuda, Fumitaka Oike, Yasutsugu Takada, Ken‐ichi Inui, Toshiya Katsura, Yasuhiro Ogura, Ikuko Yano, Shinji Üemoto, Masahide Fukudo and Maki Goto and has published in prestigious journals such as PLoS ONE, Clinical Pharmacology & Therapeutics and Biological and Pharmaceutical Bulletin.

In The Last Decade

Miwa Uesugi

11 papers receiving 449 citations

Peers

Miwa Uesugi
Nauras Shuker Netherlands
N. Undre United Kingdom
Michelle Moreton United Kingdom
Uwe Heeman Spain
J van Hooff Netherlands
Hanns Ackermann Germany
R J Ptachcinski United States
Gerard Boyle United States
R. Panek Canada
Ferdi Sombogaard Netherlands
Nauras Shuker Netherlands
Miwa Uesugi
Citations per year, relative to Miwa Uesugi Miwa Uesugi (= 1×) peers Nauras Shuker

Countries citing papers authored by Miwa Uesugi

Since Specialization
Citations

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

Fields of papers citing papers by Miwa Uesugi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miwa Uesugi

This figure shows the co-authorship network connecting the top 25 collaborators of Miwa Uesugi. A scholar is included among the top collaborators of Miwa Uesugi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miwa Uesugi. Miwa Uesugi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Yano, Ikuko, Miwa Uesugi, Shunsaku Nakagawa, et al.. (2019). A Minimal Physiologically‐Based Pharmacokinetic Model for Tacrolimus in Living‐Donor Liver Transplantation: Perspectives Related to Liver Regeneration and the cytochrome P450 3A5 (CYP3A5) Genotype. CPT Pharmacometrics & Systems Pharmacology. 8(8). 587–595. 8 indexed citations
2.
3.
Uesugi, Miwa, Mio Kikuchi, Haruka Shinke, et al.. (2014). Impact of cytochrome P450 3A5 polymorphism in graft livers on the frequency of acute cellular rejection in living-donor liver transplantation. Pharmacogenetics and Genomics. 24(7). 356–366. 23 indexed citations
4.
Shinke, Haruka, Miwa Uesugi, Mio Kikuchi, et al.. (2014). Urinary Neutrophil Gelatinase-Associated Lipocalin: A Useful Biomarker for Tacrolimus-Induced Acute Kidney Injury in Liver Transplant Patients. PLoS ONE. 9(10). e110527–e110527. 32 indexed citations
5.
Hosohata, Keiko, Miwa Uesugi, Mio Hosokawa, et al.. (2013). Association between CYP3A5 Genotypes in Graft Liver and Increase in Tacrolimus Biotransformation from Steroid Treatment in Living-donor Liver Transplant Patients. Drug Metabolism and Pharmacokinetics. 29(1). 83–89. 17 indexed citations
6.
Kikuchi, Mio, Yoshihide Ueda, Yuki Nishioka, et al.. (2013). Successful Telaprevir Treatment in Combination of Cyclosporine against Recurrence of Hepatitis C in the Japanese Liver Transplant Patients. Biological and Pharmaceutical Bulletin. 37(3). 417–423. 1 indexed citations
7.
8.
Fukudo, Masahide, Ikuko Yano, Atsushi Yoshimura, et al.. (2008). Impact of MDR1 and CYP3A5 on the oral clearance of tacrolimus and tacrolimus-related renal dysfunction in adult living-donor liver transplant patients. Pharmacogenetics and Genomics. 18(5). 413–423. 89 indexed citations
9.
Uesugi, Miwa, Satohiro Masuda, Toshiya Katsura, et al.. (2006). Effect of intestinal CYP3A5 on postoperative tacrolimus trough levels in living-donor liver transplant recipients. Pharmacogenetics and Genomics. 16(2). 119–127. 116 indexed citations
10.
Fukudo, Masahide, Ikuko Yano, Satohiro Masuda, et al.. (2006). Population pharmacokinetic and pharmacogenomic analysis of tacrolimus in pediatric living-donor liver transplant recipients. Clinical Pharmacology & Therapeutics. 80(4). 331–345. 85 indexed citations
11.
Masuda, Satohiro, Maki Goto, S. Fukatsu, et al.. (2006). Intestinal MDR1/ABCB1 level at surgery as a risk factor of acute cellular rejection in living-donor liver transplant patients. Clinical Pharmacology & Therapeutics. 79(1). 90–102. 40 indexed citations

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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