S. Kai

473 total citations
11 papers, 374 citations indexed

About

S. Kai is a scholar working on Surgery, Oncology and Immunology. According to data from OpenAlex, S. Kai has authored 11 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Oncology and 3 papers in Immunology. Recurrent topics in S. Kai's work include Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). S. Kai is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). S. Kai collaborates with scholars based in Japan and United States. S. Kai's co-authors include Seigo Kitano, Atsushi Sasaki, Masayuki Ohta, Kohei Shibata, Kentaro Iwaki, Kazuhiko Sakai, Hajime Uchida, Fumiaki Tanaka, Hiromasa Inoue and Masaki Mori and has published in prestigious journals such as The Journal of Immunology, Marine Ecology Progress Series and The Journal of Biochemistry.

In The Last Decade

S. Kai

11 papers receiving 363 citations

Peers

S. Kai

HEPAT

ONCOL

SURGE

IMMUN

EPIDE

U. Neumann Germany

Z Voboril Czechia

Maen Abdelrahim United States

Yuki Hayata Japan

Feixiang Wu China

David López United States

Alejandro Ferrer United States

Ming Hui Lee Singapore

Kuan‐Yu Chen Taiwan

Wai Ho Yeung Hong Kong

U. Neumann Germany

S. Kai

185 ×1.5

HEPAT

62 ×0.5

ONCOL

101 ×0.9

SURGE

25 ×0.3

IMMUN

94 ×1.4

EPIDE

Citations per year, relative to S. Kai S. Kai (= 1×) peers U. Neumann

Countries citing papers authored by S. Kai

Since Specialization

Citations

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

Fields of papers citing papers by S. Kai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Kai

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

All Works

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11 of 11 papers shown

1.

Kai, S., et al.. (2024). Evaluation of the cyclic single-chain Fv antibody derived from nivolumab by biophysical analyses and in vitro cell-based bioassay. The Journal of Biochemistry. 176(2). 131–138. 1 indexed citations

2.

Kusano, Tomokazu, Atsushi Sasaki, S. Kai, et al.. (2009). Predictors and prognostic significance of operative complications in patients with hepatocellular carcinoma who underwent hepatic resection. European Journal of Surgical Oncology. 35(11). 1179–1185. 65 indexed citations

3.

Ohta, Masayuki, S. Kai, Yukio Iwashita, et al.. (2009). Initial experience in laparoscopic sleeve gastrectomy for Japanese morbid obesity. Asian Journal of Endoscopic Surgery. 2(3). 68–72. 8 indexed citations

4.

Kawano, Yuichiro, Atsushi Sasaki, S. Kai, et al.. (2008). Prognosis of patients with intrahepatic recurrence after hepatic resection for hepatocellular carcinoma: A retrospective study. European Journal of Surgical Oncology. 35(2). 174–179. 59 indexed citations

5.

Kai, S. & Kazuhiko Sakai. (2008). Effect of colony size and age on resource allocation between growth and reproduction in the corals Goniastrea aspera and Favites chinensis. Marine Ecology Progress Series. 354. 133–139. 27 indexed citations

6.

Sugita, Shujiro, Atsushi Sasaki, Kentaro Iwaki, et al.. (2007). Prognosis and postoperative lymphocyte count in patients with hepatocellular carcinoma who received intraoperative allogenic blood transfusion: A retrospective study. European Journal of Surgical Oncology. 34(3). 339–345. 50 indexed citations

7.

Sasaki, Atsushi, Fumiaki Tanaka, Koshi Mimori, et al.. (2007). Prognostic value of tumor-infiltrating FOXP3+ regulatory T cells in patients with hepatocellular carcinoma. European Journal of Surgical Oncology. 34(2). 173–179. 78 indexed citations

8.

Kai, S., Shigeru Goto, Kenji Tahara, et al.. (2004). Indoleamine 2,3‐Dioxygenase is Necessary for Cytolytic Activity of Natural Killer Cells. Scandinavian Journal of Immunology. 59(2). 177–182. 34 indexed citations

9.

Ueda, Takumi, et al.. (2004). Gastrointestinal stromal tumor arising in the rectovaginal septum. International Journal of Gynecological Cancer. 14(2). 373–377. 14 indexed citations

10.

Takeuchi, Yu, Seigo Kitano, Toshio Bandoh, et al.. (2003). Acceleration of Gastric Ulcer Healing by Omeprazole in Portal Hypertensive Rats. European Surgical Research. 35(2). 75–80. 20 indexed citations

11.

Kai, S., T Fujita, Irma Gigli, & Victor Nussenzweig. (1980). Mouse C3b/C4b inactivator: purification and properties.. The Journal of Immunology. 125(6). 2409–2415. 18 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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