Isao Sakaida

17.4k total citations
394 papers, 10.0k citations indexed

About

Isao Sakaida is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Isao Sakaida has authored 394 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Hepatology, 144 papers in Epidemiology and 113 papers in Surgery. Recurrent topics in Isao Sakaida's work include Liver Disease Diagnosis and Treatment (126 papers), Liver physiology and pathology (74 papers) and Liver Disease and Transplantation (66 papers). Isao Sakaida is often cited by papers focused on Liver Disease Diagnosis and Treatment (126 papers), Liver physiology and pathology (74 papers) and Liver Disease and Transplantation (66 papers). Isao Sakaida collaborates with scholars based in Japan, United States and United Kingdom. Isao Sakaida's co-authors include Shuji Terai, Kiwamu Okita, Taro Takami, Takahiro Yamasaki, Naoki Yamamoto, Hiroshi Nishina, Tsuyoshi Ishikawa, Koichi Uchida, Jun Nishikawa and Koji Aoyama and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Isao Sakaida

374 papers receiving 9.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isao Sakaida Japan 50 3.8k 3.6k 2.6k 2.6k 1.5k 394 10.0k
Tatiana Kisseleva United States 59 5.7k 1.5× 6.1k 1.7× 4.7k 1.8× 2.5k 1.0× 1.6k 1.1× 124 14.5k
Shuji Terai Japan 40 2.7k 0.7× 2.3k 0.6× 1.8k 0.7× 2.6k 1.0× 814 0.5× 471 7.4k
Kiwamu Okita Japan 56 6.7k 1.7× 4.7k 1.3× 2.3k 0.9× 3.3k 1.3× 2.1k 1.4× 297 12.4k
Hitoshi Yoshiji Japan 50 3.2k 0.8× 3.3k 0.9× 3.7k 1.4× 1.4k 0.5× 2.2k 1.4× 365 10.9k
Steven Dooley Germany 53 3.7k 1.0× 3.0k 0.8× 4.5k 1.7× 1.6k 0.6× 1.7k 1.1× 237 10.2k
Tetsuo Takehara Japan 61 4.4k 1.2× 5.3k 1.5× 3.9k 1.5× 1.7k 0.6× 2.2k 1.4× 482 13.6k
Peter L. M. Jansen Netherlands 63 3.4k 0.9× 4.1k 1.1× 4.0k 1.5× 4.0k 1.5× 5.7k 3.8× 196 13.7k
Claus Hellerbrand Germany 66 3.9k 1.0× 5.3k 1.5× 5.7k 2.2× 1.8k 0.7× 2.0k 1.3× 291 14.3k
Jung‐Hwan Yoon South Korea 59 6.8k 1.8× 6.7k 1.8× 2.8k 1.1× 2.8k 1.1× 2.1k 1.4× 425 13.6k
Domenico Alvaro Italy 61 4.2k 1.1× 2.3k 0.6× 2.1k 0.8× 5.9k 2.3× 2.9k 1.9× 258 10.5k

Countries citing papers authored by Isao Sakaida

Since Specialization
Citations

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

Fields of papers citing papers by Isao Sakaida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isao Sakaida

This figure shows the co-authorship network connecting the top 25 collaborators of Isao Sakaida. A scholar is included among the top collaborators of Isao Sakaida 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 Isao Sakaida. Isao Sakaida 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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Fujisawa, Koichi, et al.. (2021). Establishment of an Adult Medaka Fatty Liver Model by Administration of a Gubra-Amylin-Nonalcoholic Steatohepatitis Diet Containing High Levels of Palmitic Acid and Fructose. International Journal of Molecular Sciences. 22(18). 9931–9931. 3 indexed citations
3.
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Matsumoto, Toshihiko, Koichi Fujisawa, Yutaka Suehiro, et al.. (2020). Mesenchymal Stem Cells Induce a Fibrolytic Phenotype By Regulating mmu-miR-6769b-5p Expression in Macrophages. Stem Cells and Development. 29(22). 1457–1466. 6 indexed citations
5.
Fujisawa, Koichi, Taro Takami, Hisashi Hoshida, et al.. (2019). Usefulness of adult medaka fish as a model for the evaluation of alcoholic fatty liver. Alcohol. 77. 147–154. 7 indexed citations
6.
Kamimura, Kenya, Kohei Ogawa, Ryosuke Inoue, et al.. (2018). Effect of histidine on sorafenib-induced vascular damage: Analysis using novel medaka fish model. Biochemical and Biophysical Research Communications. 496(2). 556–561. 10 indexed citations
7.
Nishikawa, Jun, Hisashi Iizasa, Hironori Yoshiyama, et al.. (2018). Clinical Importance of Epstein–Barr Virus-Associated Gastric Cancer. Cancers. 10(6). 167–167. 67 indexed citations
8.
Nishikawa, Jun, Hisashi Iizasa, Hironori Yoshiyama, et al.. (2017). The Role of Epigenetic Regulation in Epstein-Barr Virus-Associated Gastric Cancer. International Journal of Molecular Sciences. 18(8). 1606–1606. 26 indexed citations
9.
Nishikawa, Jun, Hironori Yoshiyama, Hisashi Iizasa, et al.. (2014). Epstein-Barr Virus in Gastric Carcinoma. Cancers. 6(4). 2259–2274. 128 indexed citations
10.
Goto, Atsushi, Jun Nishikawa, Takeshi Okamoto, et al.. (2012). Outcomes of Endoscopic Submucosal Dissection for Early Gastric Cancer and Factors Associated with Incomplete Resection. Hepatogastroenterology. 60(121). 46–53. 11 indexed citations
11.
Suzuki, Kazuyuki, Kazuyuki Suzuki, Ryujin Endo, et al.. (2012). Guidelines on nutritional management in Japanese patients with liver cirrhosis from the perspective of preventing hepatocellular carcinoma. Hepatology Research. 42(7). 621–626. 32 indexed citations
12.
Saito, Takafumi, Kazuo Okumoto, Hiroaki Haga, et al.. (2011). Potential Therapeutic Application of Intravenous Autologous Bone Marrow Infusion in Patients with Alcoholic Liver Cirrhosis. Stem Cells and Development. 20(9). 1503–1510. 54 indexed citations
13.
Matsumoto, Toshihiko, Shuji Terai, Koichi Fujisawa, et al.. (2010). Medaka as a model for human nonalcoholic steatohepatitis. Disease Models & Mechanisms. 3(7-8). 431–440. 60 indexed citations
14.
Fujiwara, Keiichi, Hiroshige Kojima, Yutaka Yonemitsu, et al.. (2009). Phylogenetic analysis of hepatitis A virus in sera from patients with hepatitis A of various severities. Liver International. 29(6). 838–845. 14 indexed citations
15.
Iwano, Hirotoshi, et al.. (2008). Management of unresectable hilar biliary obstruction : Plastic stents versus metallic stents and unilateral versus bilateral biliary drainage. 55(1). 9–14. 1 indexed citations
16.
Yokoyama, Yuichiro, Shuji Terai, Tsuyoshi Ishikawa, et al.. (2006). Proteomic analysis of serum marker proteins in recipient mice with liver cirrhosis after bone marrow cell transplantation. PROTEOMICS. 6(8). 2564–2570. 12 indexed citations
17.
Jin, Haiyan, Isao Sakaida, Masako Tsuchiya, & Kiwamu Okita. (2005). Herbal medicine Rhei rhizome prevents liver fibrosis in rat liver cirrhosis induced by a choline-deficient L-amino acid-defined diet. Life Sciences. 76(24). 2805–2816. 21 indexed citations
18.
19.
Sakaida, Isao, et al.. (1997). Cytoprotection by glycine against hypoxia‐induced injury in cultured hepatocytes. Liver International. 17(2). 57–62. 21 indexed citations
20.
Karita, Mikio, Hideo Yanai, Hiroshi Fujimura, et al.. (1985). INITIAL CLINICAL EXPERIENCE WITH A NEW TYPE OF ENDOSCOPE, VIDEO-ENDOSCOPE IN JAPAN.. Acta gastro-enterologica belgica. 27(10). 2052–2057.

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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