Toru Murakami

1.8k total citations
59 papers, 1.3k citations indexed

About

Toru Murakami is a scholar working on Molecular Biology, Immunology and Transplantation. According to data from OpenAlex, Toru Murakami has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Immunology and 8 papers in Transplantation. Recurrent topics in Toru Murakami's work include Renal Transplantation Outcomes and Treatments (8 papers), Immune Cell Function and Interaction (5 papers) and Electrochemical sensors and biosensors (4 papers). Toru Murakami is often cited by papers focused on Renal Transplantation Outcomes and Treatments (8 papers), Immune Cell Function and Interaction (5 papers) and Electrochemical sensors and biosensors (4 papers). Toru Murakami collaborates with scholars based in Japan, United States and United Kingdom. Toru Murakami's co-authors include Shohei Wakao, Masaaki Kitada, Mari Dezawa, Isao Karube, Yasumasa Kuroda, Ichiro Koyama, Junko Kimura, Shigeyuki Miyamoto, Jun Kimura and Tatsuo Kawai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Toru Murakami

54 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toru Murakami Japan 21 376 331 312 198 186 59 1.3k
Najma Latif United Kingdom 28 630 1.7× 761 2.3× 43 0.1× 127 0.6× 66 0.4× 73 2.5k
Xiaohui Tian China 16 272 0.7× 198 0.6× 80 0.3× 75 0.4× 81 0.4× 68 842
Ian L. Jones Sweden 19 120 0.3× 385 1.2× 15 0.0× 46 0.2× 238 1.3× 39 1.7k
Christopher A. Fraker United States 27 1.5k 3.9× 599 1.8× 37 0.1× 91 0.5× 48 0.3× 56 2.2k
Hongwei Peng China 19 144 0.4× 285 0.9× 48 0.2× 140 0.7× 34 0.2× 66 927
Yosuke Kanno Japan 20 82 0.2× 508 1.5× 7 0.0× 151 0.8× 33 0.2× 62 1.3k
Wenjia Liu China 23 288 0.8× 806 2.4× 28 0.1× 119 0.6× 16 0.1× 73 1.8k
Amiq Gazdhar Switzerland 22 226 0.6× 386 1.2× 13 0.0× 96 0.5× 44 0.2× 65 1.3k
Henriëtte L. Lanz Netherlands 19 147 0.4× 611 1.8× 14 0.0× 51 0.3× 20 0.1× 45 1.9k
Jun Hirose Japan 32 986 2.6× 872 2.6× 39 0.1× 440 2.2× 8 0.0× 119 2.9k

Countries citing papers authored by Toru Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Toru Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Murakami

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Murakami. A scholar is included among the top collaborators of Toru Murakami 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 Toru Murakami. Toru Murakami 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.
Murakami, Toru, Takashi Ishida, Satoshi Tanaka, et al.. (2023). Inflammation and subsequent nociceptor sensitization in the bone marrow are involved in an animal model of osteoarthritis pain. Life Sciences. 324. 121736–121736. 4 indexed citations
2.
Hidema, Shizu, Jun Suzuki, Akihiro Kanaya, et al.. (2021). Effects of oxytocin on responses to nociceptive and non-nociceptive stimulation in the upper central nervous system. Biochemical and Biophysical Research Communications. 574. 8–13. 4 indexed citations
3.
Ishíi, Yasuo, Toru Murakami, Ichiro Koyama, et al.. (2014). A case of cryopyrin-associated periodic syndrome with kidney transplant failure. CEN Case Reports. 4(1). 1–5. 4 indexed citations
4.
Wakao, Shohei, Masaaki Kitada, Yasumasa Kuroda, et al.. (2012). Morphologic and Gene Expression Criteria for Identifying Human Induced Pluripotent Stem Cells. PLoS ONE. 7(12). e48677–e48677. 47 indexed citations
5.
Iwadoh, Kazuhiro, Hajime Shirai, Akihito Sannomiya, et al.. (2012). Long-Term Impact of Hypertension on Renal Allografts. Transplantation Proceedings. 44(3). 629–631. 1 indexed citations
6.
Park, Ki Hun, Tokihiko Sawada, Toru Murakami, et al.. (2012). Anti-class II -DR humanized monoclonal antibody, IMMU-114, blocks allogeneic immune response. The American Journal of Surgery. 204(4). 527–534.
7.
Yamada, Yohei, S Bosković, Akihiro Aoyama, et al.. (2011). Overcoming Memory T-Cell Responses for Induction of Delayed Tolerance in Nonhuman Primates. American Journal of Transplantation. 12(2). 330–340. 77 indexed citations
8.
Nadazdin, O., Toru Murakami, David H. O’Connor, et al.. (2010). Phenotype, Distribution and Alloreactive Properties of Memory T Cells from Cynomolgus Monkeys. American Journal of Transplantation. 10(6). 1375–1384. 45 indexed citations
9.
Murakami, Toru, A. Benedict Cosimi, & Tatsuo Kawai. (2008). Mixed chimerism to induce tolerance: lessons learned from nonhuman primates. Transplantation Reviews. 23(1). 19–24. 10 indexed citations
10.
Koyama, Ichiro, O. Nadazdin, S Bosković, et al.. (2007). Depletion of CD8 Memory T Cells for Induction of Tolerance of a Previously Transplanted Kidney Allograft. American Journal of Transplantation. 7(5). 1055–1061. 100 indexed citations
11.
Murakami, Toru, Junko Matsuo, Shin Nagayama, et al.. (2005). Vitamins K1 and K2 potentiate hyperthermia by down-regulating Hsp72 expression in vitro and in vivo.. PubMed. 27(6). 1527–33. 5 indexed citations
12.
13.
Ishida, Hideki, Tetsuzo Agishi, Ichiro Koyama, et al.. (2001). Hemodialysis Paradox: Survey on the Incidence Rate of Hepatocellular Carcinoma in Antihepatitis Virus C‐Antibody‐Positive Chronic Hemodialysis Patients. Artificial Organs. 25(1). 58–60. 13 indexed citations
14.
Miida, Takashi, Kazuyuki Ozaki, Toru Murakami, et al.. (2000). Preβ1-high-density lipoprotein (preβ1-HDL) concentration can change with low-density lipoprotein-cholesterol (LDL-C) concentration independent of cholesteryl ester transfer protein (CETP). Clinica Chimica Acta. 292(1-2). 69–80. 17 indexed citations
15.
Ishida, Hideki, Ichiro Koyama, Tokihiko Sawada, et al.. (2000). CLINICAL UTILITY OF MONITORING SIALYL LEWIS X (CD15S) ANTIGEN ON PERIPHERAL LYMPHOCYTES FOR THE DIAGNOSIS AND TREATMENT OF REJECTION AFTER RENAL TRANSPLANTATION 1. Transplantation. 69(1). 59–59. 5 indexed citations
16.
Koyama, Ichiro, Tokihiko Sawada, Toru Murakami, et al.. (2000). ANTI-AB TITER CHANGES IN PATIENTS WITH ABO INCOMPATIBILITY AFTER LIVING RELATED KIDNEY TRANSPLANTATIONS. Transplantation. 70(4). 681–685. 79 indexed citations
17.
Murakami, Toru & Nobuhiro Yamada. (1996). Modification of macrophage function and effects on atherosclerosis. Current Opinion in Lipidology. 7(5). 320–323. 16 indexed citations
18.
Ota, Kazuo, Yuichi Sato, Toru Murakami, et al.. (1993). Venous hypertension as a complication of blood access for hemodialysis.. Journal of Japanese Society for Dialysis Therapy. 26(12). 1777–1782. 4 indexed citations
19.
Nakajima, Y, Eiichi Momotani, Y. Ishikawa, et al.. (1992). Phenotyping of lymphocyte subsets in the vascular and epithelial lesions of a cow with malignant catarrhal fever. Veterinary Immunology and Immunopathology. 33(3). 279–284. 14 indexed citations
20.
Murakami, Toru, et al.. (1977). . Journal of the Metal Finishing Society of Japan. 28(9). 468–472. 1 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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