Nami Imai

1.2k citations
21 papers · 971 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Oncology top 5%
    • Inflammatory Biomarkers in Disease Prognosis
    • Pancreatic and Hepatic Oncology Research

Papers in

Nami Imai

20 papers receiving 959 citations

Peers

Nami Imai
Comparison fields: 5 of 89
  • Hepatology 239
  • Oncology 645
  • Cancer Research 277
  • Internal Medicine 57
  • Otorhinolaryngology 36
Replace Koichiro Haruki with:
Koichiro Haruki Japan
Kazutoshi Takagi Japan
J E M Crozier United Kingdom
Renate Schaberl-Moser Austria
Tomoyuki Matsunaga Japan
Patrick R. Varley United States
Mayuko Kondo Japan
Jianping Xiong China
Erdal Birol Bostancı Türkiye
Rohan Gupta United States
Nami Imai relative to Koichiro Haruki Japan Koichiro Haruki's profile →
Citations per field
00.5×2.6×
Koichiro Haruki · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nami Imai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nami Imai Line = papers co-authored together Nami Imai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014364
2 2012246
3 201392
4 201255
5 201350
6
C-Reactive Protein as a Prognostic Marker in Patients with Hepatocellular Carcinoma.
201535
7 201830
8 200817
9 200814
10 200714
11 201413
12 20127
13 20176
14 20176
15 20156
16 20186
17 20165
18 20213
19
[A Case of Advanced Gastric Cancer with Bladder Metastasis].
20181
20 20201

About Nami Imai

Nami Imai is a scholar working on Oncology, Cancer Research, Hepatology, Surgery and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 971 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Inflammatory Biomarkers in Disease Prognosis (7 papers), Liver Disease Diagnosis and Treatment (4 papers), Body Composition Measurement Techniques (2 papers), Pancreatitis Pathology and Treatment (2 papers), Exercise and Physiological Responses (2 papers) and Appendicitis Diagnosis and Management (2 papers). The work is most often cited by research in Hepatology (239 citations), Oncology (645 citations), Cancer Research (277 citations), Internal Medicine (57 citations) and Otorhinolaryngology (36 citations). Nami Imai has collaborated with scholars based in Japan. Frequent co-authors include Akiyoshi Kinoshita, Hiroshi Onoda, Nao Fushiya, Kazuhiko Koike, Akira Iwaku, Mutumi Oishi, Hirokazu Nishino, Hisao Tajiri, Ken Tanaka and Masato Matsushima. Their work appears in journals such as World Journal of Gastroenterology, Oncology, Clinical & Translational Oncology, British Journal of Cancer and Environmental Health and Preventive Medicine.

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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