Nami Imai

1.2k total citations
21 papers, 971 citations indexed

About

Nami Imai is a scholar working on Oncology, Cancer Research and Hepatology. According to data from OpenAlex, Nami Imai has authored 21 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Cancer Research and 7 papers in Hepatology. Recurrent topics in Nami Imai's work include Cancer, Lipids, and Metabolism (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). Nami Imai is often cited by papers focused on Cancer, Lipids, and Metabolism (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers) and Inflammatory Biomarkers in Disease Prognosis (7 papers). Nami Imai collaborates with scholars based in Japan. Nami Imai's co-authors include Akiyoshi Kinoshita, Hiroshi Onoda, Nao Fushiya, Kazuhiko Koike, Akira Iwaku, Mutumi Oishi, Hirokazu Nishino, Hisao Tajiri, Masato Matsushima and Ken Tanaka and has published in prestigious journals such as British Journal of Cancer, World Journal of Gastroenterology and Annals of Surgical Oncology.

In The Last Decade

Nami Imai

20 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nami Imai Japan 11 645 277 276 239 226 21 971
J E M Crozier United Kingdom 12 877 1.4× 273 1.0× 375 1.4× 64 0.3× 111 0.5× 14 1.2k
Koichiro Haruki Japan 23 1.1k 1.8× 307 1.1× 717 2.6× 294 1.2× 286 1.3× 202 1.9k
Kazutoshi Takagi Japan 15 861 1.3× 325 1.2× 395 1.4× 61 0.3× 83 0.4× 49 1.2k
Sam G. Pappas United States 22 577 0.9× 166 0.6× 652 2.4× 140 0.6× 232 1.0× 61 1.3k
Renate Schaberl-Moser Austria 14 986 1.5× 323 1.2× 361 1.3× 62 0.3× 112 0.5× 23 1.2k
Patrick R. Varley United States 20 331 0.5× 177 0.6× 493 1.8× 201 0.8× 295 1.3× 39 1.5k
Mayuko Kondo Japan 14 213 0.3× 63 0.2× 221 0.8× 302 1.3× 359 1.6× 32 977
Erdal Birol Bostancı Türkiye 19 401 0.6× 273 1.0× 643 2.3× 55 0.2× 147 0.7× 132 1.3k
M. Dagenais Canada 19 478 0.7× 134 0.5× 610 2.2× 436 1.8× 313 1.4× 53 1.2k
Sonia T. Orcutt United States 14 393 0.6× 72 0.3× 463 1.7× 177 0.7× 96 0.4× 35 851

Countries citing papers authored by Nami Imai

Since Specialization
Citations

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

Fields of papers citing papers by Nami Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nami Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Nami Imai. A scholar is included among the top collaborators of Nami Imai 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 Nami Imai. Nami Imai 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.
Kouda, Katsuyasu, Yuki Fujita, Kumiko Ohara, et al.. (2023). Association between trunk-to-peripheral fat ratio and renal function in elderly Japanese men: baseline data from the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study. Environmental Health and Preventive Medicine. 28(0). 30–30.
2.
3.
Sato, Noriko, Akiyoshi Kinoshita, Nami Imai, et al.. (2018). Inflammation-based prognostic scores predict disease severity in patients with acute cholecystitis. European Journal of Gastroenterology & Hepatology. 30(4). 484–489. 30 indexed citations
4.
Kinoshita, Akiyoshi, Nami Imai, Yuki Hirose, et al.. (2018). Clinical characteristics and short‐term outcomes in patients with acute cholecystitis over aged >80 years. Geriatrics and gerontology international. 19(3). 208–212. 6 indexed citations
5.
Kinoshita, Akiyoshi, Nami Imai, Yuki Hirose, et al.. (2018). [A Case of Advanced Gastric Cancer with Bladder Metastasis].. PubMed. 45(9). 1361–1363. 1 indexed citations
6.
Yoshikawa, Kenichi, Akiyoshi Kinoshita, Yuki Hirose, et al.. (2017). Endoscopic submucosal dissection in a patient with esophageal adenoid cystic carcinoma. World Journal of Gastroenterology. 23(45). 8097–8103. 6 indexed citations
7.
Yoshikawa, Kenichi, Yuki Hirose, Keiko Shibata, et al.. (2017). Liver injury after aluminum potassium sulfate and tannic acid treatment of hemorrhoids. World Journal of Gastroenterology. 23(27). 5034–5034. 6 indexed citations
8.
Kinoshita, Akiyoshi, Noriko Hagiwara, Takeharu Yokota, et al.. (2016). A case of adenosquamous cell carcinoma of the gallbladder with markedly elevated PTHrP and G-CSF levels.. PubMed. 113(9). 1564–71. 5 indexed citations
9.
Kinoshita, Akiyoshi, Hiroshi Onoda, Kaoru Ueda, et al.. (2015). Clinical characteristics and survival outcomes of super‐elderly hepatocellular carcinoma patients not indicated for surgical resection. Hepatology Research. 46(3). 6 indexed citations
10.
Kinoshita, Akiyoshi, Hiroshi Onoda, Nami Imai, Hirokazu Nishino, & Hisao Tajiri. (2015). C-Reactive Protein as a Prognostic Marker in Patients with Hepatocellular Carcinoma.. PubMed. 62(140). 966–70. 35 indexed citations
11.
Kinoshita, Akiyoshi, Hiroshi Onoda, Nami Imai, et al.. (2014). The Addition of C-Reactive Protein to Validated Staging Systems Improves Their Prognostic Ability in Patients with Hepatocellular Carcinoma. Oncology. 86(5-6). 308–317. 13 indexed citations
12.
Kinoshita, Akiyoshi, Hiroshi Onoda, Nami Imai, et al.. (2014). The C-Reactive Protein/Albumin Ratio, a Novel Inflammation-Based Prognostic Score, Predicts Outcomes in Patients with Hepatocellular Carcinoma. Annals of Surgical Oncology. 22(3). 803–810. 364 indexed citations
13.
Kinoshita, Akiyoshi, Hiroshi Onoda, Nami Imai, et al.. (2013). Elevated Plasma Fibrinogen Levels Are Associated with a Poor Prognosis in Patients with Hepatocellular Carcinoma. Oncology. 85(5). 269–277. 50 indexed citations
14.
Kinoshita, Akiyoshi, Hiroshi Onoda, Nami Imai, et al.. (2013). The Glasgow Prognostic Score, an inflammation based prognostic score, predicts survival in patients with hepatocellular carcinoma. BMC Cancer. 13(1). 92 indexed citations
15.
Kinoshita, Akiyoshi, Hiroshi Onoda, Nami Imai, et al.. (2012). Comparison of the prognostic value of inflammation-based prognostic scores in patients with hepatocellular carcinoma. British Journal of Cancer. 107(6). 988–993. 246 indexed citations
16.
Kinoshita, Akiyoshi, Hiroshi Onoda, Keiko Takano, et al.. (2012). Pretreatment serum C-reactive protein level predicts poor prognosis in patients with hepatocellular carcinoma. Medical Oncology. 29(4). 2800–2808. 55 indexed citations
17.
Imai, Nami, Akiyoshi Kinoshita, Hiroshi Onoda, et al.. (2012). Persistent elevated C-reactive protein after treatment is an independent marker of a poor prognosis in patients with hepatocellular carcinoma. Clinical & Translational Oncology. 15(7). 575–581. 7 indexed citations
18.
Imai, Nami, et al.. (2008). Psychosocial factors that aggravate the symptoms of sick house syndrome in Japan. Nursing and Health Sciences. 10(2). 101–109. 17 indexed citations
19.
Hibasami, Hiroshige, et al.. (2008). Chalcones from Angelica keiskei Induce Apoptosis in Stomach Cancer Cells. Journal of Herbs Spices & Medicinal Plants. 14(3-4). 166–174. 14 indexed citations
20.

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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