E Sakurai

809 total citations
48 papers, 651 citations indexed

About

E Sakurai is a scholar working on Surgery, Transplantation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, E Sakurai has authored 48 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 24 papers in Transplantation and 18 papers in Public Health, Environmental and Occupational Health. Recurrent topics in E Sakurai's work include Organ Transplantation Techniques and Outcomes (32 papers), Renal Transplantation Outcomes and Treatments (24 papers) and Organ Donation and Transplantation (15 papers). E Sakurai is often cited by papers focused on Organ Transplantation Techniques and Outcomes (32 papers), Renal Transplantation Outcomes and Treatments (24 papers) and Organ Donation and Transplantation (15 papers). E Sakurai collaborates with scholars based in Japan and United States. E Sakurai's co-authors include Naoto Matsuno, M Kozaki, K Kozaki, M Uchiyama, Kitaro Oka, T Nagao, Toshihiko Hirano, Koichi Kozaki, Hironori Takeuchi and Tohru Tamaki and has published in prestigious journals such as Clinical Chemistry, Transplantation and Journal of Pharmacy and Pharmacology.

In The Last Decade

E Sakurai

46 papers receiving 621 citations

Peers

E Sakurai
Carlo B. Ramirez United States
J. Rischen-Vos Netherlands
I. C. van Riemsdijk Netherlands
Phillip Ruiz United States
For Tai Lam United Kingdom
Michael Rizzari United States
Sofía Pedroso Portugal
Andreas G. Tzakis United States
A. Mota Portugal
R Duca United States
Carlo B. Ramirez United States
E Sakurai
Citations per year, relative to E Sakurai E Sakurai (= 1×) peers Carlo B. Ramirez

Countries citing papers authored by E Sakurai

Since Specialization
Citations

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

Fields of papers citing papers by E Sakurai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E Sakurai

This figure shows the co-authorship network connecting the top 25 collaborators of E Sakurai. A scholar is included among the top collaborators of E Sakurai 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 E Sakurai. E Sakurai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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Uchiyama, M, Naoto Matsuno, Yuki Nakamura, et al.. (2003). Usefulness of preservation by machine perfusion of liver grafts from non–heart-beating donors—a porcine model. Transplantation Proceedings. 35(1). 105–106. 11 indexed citations
3.
Kozaki, K, E Sakurai, T Nagao, & M Kozaki. (2002). Usefulness of continuous hypothermic perfusion preservation in renal transplantation from non–heart-beating donors. Transplantation Proceedings. 34(7). 2592–2597. 5 indexed citations
4.
Matsuno, Naoto, K Kozaki, Hisakazu Degawa, et al.. (2000). A useful predictor in machine perfusion preservation for kidney transplantation from non–heart-beating donors. Transplantation Proceedings. 32(1). 173–174. 25 indexed citations
5.
Hirano, Toshihiko, Kitaro Oka, Hironori Takeuchi, et al.. (2000). A comparison of prednisolone and methylprednisolone for renal transplantation. Clinical Transplantation. 14(4). 323–328. 8 indexed citations
6.
Kozaki, K, E Sakurai, M Uchiyama, et al.. (2000). Development of hypothermic continuous perfusion preservation machine equipped with nonpulsatile pump and its clinical application. Transplantation Proceedings. 32(1). 5–9. 13 indexed citations
7.
Kozaki, K, E Sakurai, Hitoshi Iwamoto, et al.. (2000). Prediction of kidney nonfunction after transplantation with machine perfusion preservation. Transplantation Proceedings. 32(2). 275–276. 15 indexed citations
8.
Kozaki, K, E Sakurai, M Uchiyama, et al.. (2000). Usefulness of high-risk renal graft conditioning: functional improvement of high-risk grafts by addition of reagents to continuous hypothermic perfusion preservation solution. Transplantation Proceedings. 32(1). 164–166. 8 indexed citations
9.
Matsuno, Naoto, K Kozaki, Hisakazu Degawa, et al.. (1999). Importance of machine perfusion flow in kidney preservation. Transplantation Proceedings. 31(5). 2004–2005. 10 indexed citations
10.
Kozaki, K, E Sakurai, M Uchiyama, et al.. (1999). Usefulness of high-risk renal graft conditioning; functional improvement of high risk grafts by drug addition to continuous hypothermic perfusion preservation solution. Transplantation Proceedings. 31(7). 2920–2921. 6 indexed citations
11.
Degawa, Hisakazu, M Uchiyama, K Kozaki, et al.. (1998). Effect of donor age on renal allograft survival. Transplantation Proceedings. 30(7). 3660–3661. 8 indexed citations
12.
Matsuno, Naoto, et al.. (1998). Role of machine perfusion preservation in kidney transplantation from non‐heartbeating donors. Clinical Transplantation. 12(1). 1–4. 29 indexed citations
13.
Matsuno, Naoto, E Sakurai, Hisakazu Degawa, et al.. (1998). Successful renal transplantation from non–heart-beating donors with a high creatinine. Transplantation Proceedings. 30(7). 3785–3786. 2 indexed citations
14.
Takeuchi, Hirohito, Toshihiko Hirano, Kitaro Oka, et al.. (1998). Lymphocyte Sensitivity to Cyclosporine and Tacrolimus in Chronic Renal Failure Patients and Clinical Significance in Renal Transplantation. Transplantation Proceedings. 30(1). 36–39. 20 indexed citations
15.
Kozaki, K, M Uchiyama, Hisakazu Degawa, et al.. (1997). Usefulness of continuous hypothermic perfusion preservation for renal grafts from non-heart-beating donors with prolonged warm ischemia time. Transplantation Proceedings. 29(8). 3586–3587. 8 indexed citations
16.
Oka, Kitaro, Hironori Takeuchi, Masaharu Yoshida, et al.. (1997). Glucocorticoid-resistance in peripheral-blood lymphocytes does not correlate with number or affinity of glucocorticoid-receptors in chronic renal failure patients. Immunopharmacology. 36(1). 57–67. 8 indexed citations
17.
Hirano, Toshihiko, Hironori Takeuchi, E Sakurai, et al.. (1997). Glucocorticoids and cyclosporine induce apoptosis in mitogen-activated human peripheral mononuclear cells. Immunopharmacology. 37(1). 87–94. 33 indexed citations
18.
Matsuno, Naoto, et al.. (1994). The effect of machine perfusion preservation versus cold storage on the function of kidneys from non-heart-beating donors.. PubMed. 57(2). 293–4. 61 indexed citations
19.
Oka, Kitaro, et al.. (1994). CLINICAL SIGNIFICANCE OF GLUCOCORTICOID PHARMACODYNAMICS ASSESSED BY ANTILYMPHOCYTE ACTION IN KIDNEY TRANSPLANTATION. Transplantation. 57(9). 1341–1348. 59 indexed citations
20.
Oka, Kitaro, et al.. (1989). Determination of cyclosporin A in the serum of kidney transplant patients by rapid-flow fractionation and normal-phase high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 490(1). 145–154. 7 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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