Yuta Enami

1.0k total citations
45 papers, 642 citations indexed

About

Yuta Enami is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Yuta Enami has authored 45 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Surgery, 24 papers in Hepatology and 15 papers in Oncology. Recurrent topics in Yuta Enami's work include Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver physiology and pathology (12 papers) and Organ Transplantation Techniques and Outcomes (12 papers). Yuta Enami is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Liver physiology and pathology (12 papers) and Organ Transplantation Techniques and Outcomes (12 papers). Yuta Enami collaborates with scholars based in Japan, United States and Egypt. Yuta Enami's co-authors include Takeshi Aoki, Tomotake Koizumi, Tomokazu Kusano, Noriyuki Murai, Hirohisa Kato, Mitsuo Kusano, Takashi Niiya, Keitaro Mitamura, Daisuke Yasuda and Yoshinori Shimizu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Hepatology.

In The Last Decade

Yuta Enami

40 papers receiving 635 citations

Peers

Yuta Enami
Kerri A. Simo United States
Yuta Enami
Citations per year, relative to Yuta Enami Yuta Enami (= 1×) peers Kerri A. Simo

Countries citing papers authored by Yuta Enami

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Enami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Enami

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Enami. A scholar is included among the top collaborators of Yuta Enami 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 Yuta Enami. Yuta Enami 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.
Matsuda, Kazuhiro, Takeshi Aoki, Nao Kobayashi, et al.. (2024). Image guided robot-assisted liver resection using ICG fluorescence imaging and artificial intelligence. HPB. 26. S153–S154.
2.
Sawada, Naruhiko, Yusuke Takehara, Masashi Misawa, et al.. (2023). The “Watch and Wait” Method After Chemoradiotherapy for Rectal Cancer Requiring Abdominoperineal Resection. Indian Journal of Surgical Oncology. 14(4). 765–772. 1 indexed citations
3.
Enami, Yuta, Takeshi Aoki, Hideki Shibata, et al.. (2023). Optimal Timing of Laparoscopic Cholecystectomy After Conservative Therapy for Acute Cholecystitis. Cancer Diagnosis & Prognosis. 3(5). 571–576. 1 indexed citations
4.
Aoki, Takeshi, Yoshihiko Tashiro, Hideki Shibata, et al.. (2023). Development of a Novel Artificial Intelligence System for Laparoscopic Hepatectomy. Anticancer Research. 43(11). 5235–5243. 5 indexed citations
5.
Tashiro, Yoshihiko, Takeshi Aoki, Tomotake Koizumi, et al.. (2022). Indocyanine Green Labeling of Tumors in the Liver Recurring After Radiofrequency Ablation Enables Complete Resection by Fluorescence-guided Surgery. Anticancer Research. 42(3). 1345–1350. 8 indexed citations
6.
Enami, Yuta, Takeshi Aoki, Hideki Shibata, et al.. (2021). Obesity is not a risk factor for either mortality or complications after laparoscopic cholecystectomy for cholecystitis. Scientific Reports. 11(1). 2384–2384. 22 indexed citations
7.
Aoki, Takeshi, Yoshihiko Tashiro, Kazuhiro Matsuda, et al.. (2021). Indocyanine Green Fluorescence Image-guided Laparoscopic Hepatectomy Enabled Resection of a Tumor Invisible With Ultrasonography. Anticancer Research. 41(8). 3867–3869. 2 indexed citations
8.
Ohike, Nobuyuki, Takeshi Aoki, Yuta Enami, et al.. (2020). Solid Pseudopapillary Neoplasm of the Pancreas with High-Grade Malignant Transformation Involving p16-RB Pathway Alterations. SHILAP Revista de lepidopterología. 2020. 1–6. 6 indexed citations
9.
Aoki, Takeshi, Masahiko Murakami, Tomotake Koizumi, et al.. (2018). Determination of the surgical margin in laparoscopic liver resections using infrared indocyanine green fluorescence. Langenbeck s Archives of Surgery. 403(5). 671–680. 54 indexed citations
10.
Aoki, Takeshi, Masahiko Murakami, Akira Fujimori, et al.. (2016). Routes for virtually guided endoscopic liver resection of subdiaphragmatic liver tumors. Langenbeck s Archives of Surgery. 401(2). 263–273. 7 indexed citations
11.
Aoki, Takeshi, Masahiko Murakami, Tomotake Koizumi, et al.. (2016). Ultrasound with Electromagnetic Tracking Navigation and Image Fusion System in Laparoscopic Liver Surgery: An Initial Clinical Experience. The American Surgeon. 82(12). 366–368. 4 indexed citations
12.
Aoki, Takeshi, Masahiko Murakami, Tomotake Koizumi, et al.. (2015). Preoperative Tattooing for Precise and Expedient Localization of Landmark in Laparoscopic Liver Resection. Journal of the American College of Surgeons. 221(5). e97–e101. 4 indexed citations
13.
Matsuda, Kazuhiro, Masahiko Murakami, Takeshi Aoki, et al.. (2013). Outcomes of Hepatectomy for Liver Metastasis of Gastric Cancer. Nihon Rinsho Geka Gakkai Zasshi (Journal of Japan Surgical Association). 74(11). 2962–2967.
14.
Enami, Yuta, Brigid Joseph, Sriram Bandi, Juan Lin, & Sanjeev Gupta. (2011). Molecular perturbations restrict potential for liver repopulation of hepatocytes isolated from non–heart-beating donor rats. Hepatology. 55(4). 1182–1192. 4 indexed citations
15.
Kapoor, Sorabh, Yuta Enami, Antonia Follenzi, et al.. (2009). Hepatocyte Transplantation-Induced Liver Inflammation Is Driven by Cytokines-Chemokines Associated With Neutrophils and Kupffer Cells. Gastroenterology. 136(5). 1806–1817. 71 indexed citations
16.
Shimizu, Yoshinori, Takeshi Aoki, Tomokazu Kusano, et al.. (2009). Natural course of the remnant hepatic functional reserve as estimated by technetium-99m-galactosyl human serum albumin scintigraphy after a hepatectomy. Journal of Gastroenterology. 45(3). 308–316. 3 indexed citations
17.
Odaira, Masanori, Takeshi Aoki, Rika Yasuhara, et al.. (2008). Cold Preservation of the Liver With Oxygenation by a Two-Layer Method. Journal of Surgical Research. 152(2). 209–217.
18.
Hayashi, Ken, Takeshi Aoki, Nobukazu Nishino, et al.. (2007). Hepatocyte Transplantation from Steatotic Liver in a Rat Model. Journal of Surgical Research. 142(1). 104–112. 3 indexed citations
19.
Aoki, Takeshi, Nobukazu Nishino, Hirohisa Kato, et al.. (2005). Intrasplenic Transplantation of Encapsulated Hepatocytes Decreases Mortality and Improves Liver Functions in Fulminant Hepatic Failure from 90% Partial Hepatectomy in Rats. Transplantation. 79(7). 783–790. 36 indexed citations
20.
Enami, Yuta, Hirohisa Kato, Masahiko Murakami, et al.. (2001). Anti-transforming growth factor-β1 antibody transiently enhances DNA synthesis during liver regeneration after partial hepatectomy in rats. Journal of Hepato-Biliary-Pancreatic Surgery. 8(3). 250–258. 17 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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