Akio Yanagisawa

15.2k total citations · 4 hit papers
259 papers, 10.6k citations indexed

About

Akio Yanagisawa is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Akio Yanagisawa has authored 259 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 137 papers in Oncology, 117 papers in Surgery and 114 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Akio Yanagisawa's work include Pancreatic and Hepatic Oncology Research (69 papers), Gastric Cancer Management and Outcomes (68 papers) and Gastrointestinal Tumor Research and Treatment (36 papers). Akio Yanagisawa is often cited by papers focused on Pancreatic and Hepatic Oncology Research (69 papers), Gastric Cancer Management and Outcomes (68 papers) and Gastrointestinal Tumor Research and Treatment (36 papers). Akio Yanagisawa collaborates with scholars based in Japan, India and United States. Akio Yanagisawa's co-authors include Yo Kato, Hiroyuki Ono, Yukihiro Nakanishi, Takuji Gotoda, Mitsuru Sasako, Tadakazu Shimoda, Yoshihide Fujimoto, Iwao Sugitani, Yukinari Kato and N Kasai and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Akio Yanagisawa

239 papers receiving 10.3k citations

Hit Papers

Incidence of lymph node metastasis from early gastric can... 2000 2026 2008 2017 2000 2018 2018 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Yanagisawa Japan 48 5.6k 5.1k 4.7k 1.8k 1.5k 259 10.6k
Shreyaskumar Patel United States 63 3.5k 0.6× 10.9k 2.1× 6.0k 1.3× 2.5k 1.4× 2.1k 1.4× 260 14.7k
Yo Kato Japan 37 3.4k 0.6× 3.6k 0.7× 3.5k 0.7× 1.5k 0.8× 1.3k 0.8× 107 7.4k
Yukihiro Nakanishi Japan 46 3.0k 0.5× 4.2k 0.8× 2.2k 0.5× 1.6k 0.9× 713 0.5× 189 8.3k
Akira Sawaki Japan 44 4.7k 0.8× 7.4k 1.5× 6.3k 1.3× 3.0k 1.6× 1.1k 0.7× 150 11.8k
Kenji Yamao Japan 53 8.1k 1.4× 4.3k 0.9× 8.6k 1.8× 1.0k 0.6× 545 0.4× 286 12.0k
Yutaka Yonemura Japan 48 5.7k 1.0× 2.8k 0.6× 1.7k 0.4× 1.3k 0.7× 481 0.3× 294 8.4k
Marinela Capanu United States 50 2.7k 0.5× 2.9k 0.6× 5.0k 1.1× 469 0.3× 1.1k 0.7× 249 9.1k
Brian K. P. Goh Singapore 50 4.1k 0.7× 2.4k 0.5× 3.4k 0.7× 948 0.5× 380 0.2× 310 7.5k
David C. Chhieng United States 44 2.8k 0.5× 1.7k 0.3× 2.7k 0.6× 482 0.3× 658 0.4× 190 6.1k
John P. Hoffman United States 50 3.7k 0.7× 3.0k 0.6× 5.5k 1.2× 696 0.4× 688 0.4× 162 7.9k

Countries citing papers authored by Akio Yanagisawa

Since Specialization
Citations

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

Fields of papers citing papers by Akio Yanagisawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Yanagisawa

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Yanagisawa. A scholar is included among the top collaborators of Akio Yanagisawa 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 Akio Yanagisawa. Akio Yanagisawa 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.
Murakoshi, Fumi, et al.. (2023). A case of hepatic anisakidosis caused by Anisakis pegreffii mimicking liver cancer. PubMed. 61(3). 292–297. 1 indexed citations
3.
Nakagawa, Hidewaki, Seiko Hirono, Shinichi Takano, et al.. (2019). Genomic analysis of pancreatic juice DNA assesses malignant risk of intraductal papillary mucinous neoplasm of pancreas. Cancer Medicine. 8(10). 4565–4573. 19 indexed citations
4.
Yoshida, Naohisa, Takashi Hisabe, Ryohei Hirose, et al.. (2015). Improvement in the visibility of colorectal polyps by using blue laser imaging. 12 indexed citations
5.
Yoshida, Naohisa, Yutaka Saito, Ryohei Hirose, et al.. (2014). Endoscopic Mucosal Resection for Middle and Large Colorectal Polyps with a Double-Loop Snare. Digestion. 90(4). 232–239. 5 indexed citations
6.
Konishi, Eiichi, Yasuhisa Fujimoto, Eriko Tohno, et al.. (2013). Sonographic and Pathologic Image Analysis of Pure Mucinous Carcinoma of the Breast. Ultrasound in Medicine & Biology. 39(7). 1158–1167. 12 indexed citations
7.
Yanagisawa, Akio, et al.. (2013). Reducing Angiostrongylus cantonensis (Rat Lungworm) Infection on the Island of Hawai‘i Through an Educational Research Approach. PubMed Central. 72. 39. 1 indexed citations
9.
Egawa, Shinichi, Hiroki Toma, Hiroaki Ohigashi, et al.. (2012). Japan Pancreatic Cancer Registry; 30th Year Anniversary. Pancreas. 41(7). 985–992. 287 indexed citations
10.
Kimura, Wataru, Toshiyuki Moriya, Keiji Hanada, et al.. (2012). Multicenter Study of Serous Cystic Neoplasm of the Japan Pancreas Society. Pancreas. 41(3). 380–387. 99 indexed citations
11.
Maguchi, Hiroyuki, Satoshi Tanno, Nobumasa Mizuno, et al.. (2011). Natural History of Branch Duct Intraductal Papillary Mucinous Neoplasms of the Pancreas. Pancreas. 40(3). 364–370. 166 indexed citations
12.
Nakajima, Hiroo, Ikuya Fujiwara, Naruhiko Mizuta, et al.. (2008). Prognosis of Japanese Breast Cancer Based on Hormone Receptor and HER2 Expression Determined by Immunohistochemical Staining. World Journal of Surgery. 32(11). 2477–2482. 9 indexed citations
13.
Itoh, Tsuyoshi, Nobuaki Fuji, Hiroki Taniguchi, et al.. (2008). Double cancer of the cystic duct and gallbladder associated with low junction of the cystic duct. Journal of Hepato-Biliary-Pancreatic Surgery. 15(3). 338–343. 8 indexed citations
14.
Yoshida, Naohisa, Naoki Wakabayashi, Daisuke Hasegawa, et al.. (2007). ANALYSIS OF THE CORRELATION BETWEEN THE SCORING OF IRREGULAR PITS DETECTED WITH MAGNIFYING ENDOSCOPE IN COLORECTAL TUMORS AND THE HISTOLOGICAL DIAGNOSIS. Acta gastro-enterologica belgica. 49(8). 1806–1814. 2 indexed citations
15.
Ikeda, Masaki, Akio Yanagisawa, Makoto Seki, et al.. (2007). The early state of invasive pancreatic ductal adenocarcinomas: Characteristics of the Low papillary type and Flat type Intraductal Carcinoma. Suizo. 22(1). 85–87. 1 indexed citations
16.
Egashira, Hideto, Akio Yanagisawa, & Yo Kato. (2004). PREDICTIVE VALUE OF DROPLET INFILTRATION IN INVASIVE FRONTS FOR LYMPH NODE METASTASES FROM ESOPHAGEAL CANCERS PENETRATING TO THE MUSCULARIS MUCOSAE. Acta gastro-enterologica belgica. 46(9). 2086–2094.
17.
Suzuki, Yutaka, Yutaka Atomi, Masanori Sugiyama, et al.. (2004). Cystic Neoplasm of the Pancreas. Pancreas. 28(3). 241–246. 196 indexed citations
18.
Seki, Makoto, et al.. (2003). Extrapancreatic tumours in 9 cases : Differential diagnosis from primary pancreatic tumors with marked extrapancreatic growth based on imaging studies. Pancreas. 27(1). 91–92. 1 indexed citations
19.
Yanagisawa, Akio, et al.. (1996). Predicting parameters of cervical lymph node metastasis in carcinomas of the oral tongue: analysis of the cases treated by partial glossectomy alone.:ANALYSIS OF THE CASES TREATED BY PARTIAL GLOSSECTOMY ALONE. Toukeibu Gan. 22(1). 78–82. 1 indexed citations
20.
Sakamoto, Eiji, Toshifusa Nakajima, Shinichi Mizuno, et al.. (1992). Clinicopathological Study of Gastric Malignant Lymphoma.. The Japanese Journal of Gastroenterological Surgery. 25(4). 985–991. 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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