Daisuke Nishizawa

1.6k total citations
80 papers, 1.1k citations indexed

About

Daisuke Nishizawa is a scholar working on Physiology, Molecular Biology and Anesthesiology and Pain Medicine. According to data from OpenAlex, Daisuke Nishizawa has authored 80 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Physiology, 25 papers in Molecular Biology and 25 papers in Anesthesiology and Pain Medicine. Recurrent topics in Daisuke Nishizawa's work include Pain Management and Opioid Use (22 papers), Pain Mechanisms and Treatments (18 papers) and Ion channel regulation and function (9 papers). Daisuke Nishizawa is often cited by papers focused on Pain Management and Opioid Use (22 papers), Pain Mechanisms and Treatments (18 papers) and Ion channel regulation and function (9 papers). Daisuke Nishizawa collaborates with scholars based in Japan, United States and Malta. Daisuke Nishizawa's co-authors include Kazutaka Ikeda, Junko Hasegawa, Shinya Kasai, Ken‐ichi Fukuda, Masakazu Hayashida, Makoto Nagashima, Yasukazu Ogai, Soichiro Ide, M. Tagami and Ichiro Sora and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Daisuke Nishizawa

77 papers receiving 1.1k citations

Peers

Daisuke Nishizawa
Inna E. Tchivileva United States
Harlan F. Hill United States
Andrew C. Barrett United States
Elizabeth A. Garofalo United States
Jeong‐Hyun Choi South Korea
Inna E. Tchivileva United States
Daisuke Nishizawa
Citations per year, relative to Daisuke Nishizawa Daisuke Nishizawa (= 1×) peers Inna E. Tchivileva

Countries citing papers authored by Daisuke Nishizawa

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Nishizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Nishizawa

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Nishizawa. A scholar is included among the top collaborators of Daisuke Nishizawa 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 Daisuke Nishizawa. Daisuke Nishizawa 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.
2.
Kang, Yuna, Daisuke Nishizawa, Seii Ohka, et al.. (2024). TMEM132C rs7296262 Single-Nucleotide Polymorphism Is Significantly Associated with Nausea Induced by Opioids Administered for Cancer Pain and Postoperative Pain. International Journal of Molecular Sciences. 25(16). 8845–8845. 1 indexed citations
3.
Aoki, Yoshinori, Daisuke Nishizawa, Seii Ohka, et al.. (2023). Rs11726196 Single-Nucleotide Polymorphism of the Transient Receptor Potential Canonical 3 (TRPC3) Gene Is Associated with Chronic Pain. International Journal of Molecular Sciences. 24(2). 1028–1028. 3 indexed citations
4.
Ohka, Seii, Daisuke Nishizawa, Masako Iseki, et al.. (2023). Single-Nucleotide Polymorphisms of the PAR2 and IL-17A Genes Are Significantly Associated with Chronic Pain. International Journal of Molecular Sciences. 24(24). 17627–17627. 3 indexed citations
5.
Nishizawa, Daisuke, Ken‐ichi Fukuda, Tatsuya Ichinohe, et al.. (2023). Genetic Polymorphisms of ENPP2 Are Possibly Associated with Pain Severity and Opioid Dose Requirements in Patients with Inflammatory Pain Conditions: Clinical Observation Study. International Journal of Molecular Sciences. 24(8). 6986–6986.
6.
Nishizawa, Daisuke, Hideyuki Nakagawa, Shigeki Yamaguchi, et al.. (2023). Genome-Wide Association Study Identifies Genetic Polymorphisms Associated with Estimated Minimum Effective Concentration of Fentanyl in Patients Undergoing Laparoscopic-Assisted Colectomy. International Journal of Molecular Sciences. 24(9). 8421–8421. 1 indexed citations
7.
Kasai, Shinya, Daisuke Nishizawa, Junko Hasegawa, et al.. (2022). Short Tandem Repeat Variation in the CNR1 Gene Associated With Analgesic Requirements of Opioids in Postoperative Pain Management. Frontiers in Genetics. 13. 815089–815089. 4 indexed citations
8.
Nishizawa, Daisuke, Junko Hasegawa, Kyosuke Uno, et al.. (2020). A Single Medical Marker for Diagnosis of Methamphetamine Addiction - DNA Methylation of SHATI/NAT8L Promoter Sites from Patient Blood. Current Pharmaceutical Design. 26(2). 260–264. 6 indexed citations
9.
Sumitani, Masahiko, Daisuke Nishizawa, Makoto Nagashima, et al.. (2020). Adiponectin receptor 1 gene is potentially associated with severity of postoperative pain but not cancer pain. Medicine. 99(5). e18924–e18924. 5 indexed citations
10.
Ohi, Kazutaka, Daisuke Nishizawa, Takamitsu Shimada, et al.. (2020). Polygenetic Risk Scores for Major Psychiatric Disorders Among Schizophrenia Patients, Their First-Degree Relatives, and Healthy Participants. The International Journal of Neuropsychopharmacology. 23(3). 157–164. 25 indexed citations
12.
Takahashi, Kaori, Daisuke Nishizawa, Shinya Kasai, et al.. (2018). Genome-wide association study identifies polymorphisms associated with the analgesic effect of fentanyl in the preoperative cold pressor-induced pain test. Journal of Pharmacological Sciences. 136(3). 107–113. 8 indexed citations
13.
Sumitani, Masahiko, Daisuke Nishizawa, Makoto Nagashima, et al.. (2018). Gamma‐aminobutyric acid transaminase genetic polymorphism is a candidate locus for responsiveness to opioid analgesics in patients with cancer pain: An exploratory study. Neuropsychopharmacology Reports. 38(4). 175–181. 9 indexed citations
14.
Sumitani, Masahiko, Daisuke Nishizawa, Makoto Nagashima, et al.. (2017). Association Between Polymorphisms in the Purinergic P2Y12 Receptor Gene and Severity of Both Cancer Pain and Postoperative Pain. Pain Medicine. 19(2). 348–354. 14 indexed citations
16.
Uno, Kyosuke, Kazutaka Ohi, Ryota Hashimoto, et al.. (2013). Functional Analysis of Deep Intronic SNP rs13438494 in Intron 24 of PCLO Gene. PLoS ONE. 8(10). e76960–e76960. 45 indexed citations
18.
Sato, Naomi, Daisuke Nishizawa, Shinji Kageyama, et al.. (2012). Association between dopamine beta hydroxylase rs5320 polymorphism and smoking behaviour in elderly Japanese. Journal of Human Genetics. 57(6). 385–390. 13 indexed citations
19.
Fukuda, Ken‐ichi, Masakazu Hayashida, Soichiro Ide, et al.. (2009). Association between OPRM1 gene polymorphisms and fentanyl sensitivity in patients undergoing painful cosmetic surgery. Pain. 147(1). 194–201. 109 indexed citations
20.
Hayashida, Masakazu, Makoto Nagashima, Yasuo Satoh, et al.. (2008). Analgesic Requirements After Major Abdominal Surgery are Associated with OPRM1 Gene Polymorphism Genotype and Haplotype. Pharmacogenomics. 9(11). 1605–1616. 114 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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