Hideki Iwamoto

7.8k citations
263 papers · 6.2k · h-index 44

Impact in

  • Hepatology top 0.5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

Hideki Iwamoto

248 papers receiving 6.1k citations

Peers

Hideki Iwamoto
Comparison fields: 5 of 133
  • Hepatology 1.5k
  • Cancer Research 797
  • Immunology 721
  • Oncology 778
  • Surgery 1.1k
Replace Alison C. MacKinnon with:
Alison C. MacKinnon United Kingdom
József Dudás Austria
Nobuteru Usuda Japan
Christian Schnell Switzerland
Emilio Ciusani Italy
Issei Imoto Japan
Michael Quante Germany
Christoph W. Michalski Germany
Michael Schwartz United States
Richard D. Williams United States
Hideki Iwamoto relative to Alison C. MacKinnon United Kingdom Alison C. MacKinnon's profile →
Citations per field
00.5×1.5×2×2.4×
Alison C. MacKinnon · 1×
Citations per year

Countries citing papers authored by Hideki Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hideki Iwamoto, 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 Hideki Iwamoto Line = papers co-authored together Hideki Iwamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012269
2 2018257
3 1999191
4 2014161
5 2016158
6 2015140
7 2003136
8 2013124
9 1999118
10 1999118
11 2001109
12 2013101
13 2022100
14 201698
15 202298
16 200393
17 201691
18 202189
19 201870
20 202170

About Hideki Iwamoto

Hideki Iwamoto is a scholar working on Hepatology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pathology and Forensic Medicine, having authored 263 papers that have together received 6.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (81 papers), Renal cell carcinoma treatment (18 papers), Cancer Mechanisms and Therapy (17 papers), Bladder and Urothelial Cancer Treatments (14 papers), Prostate Cancer Diagnosis and Treatment (14 papers), Angiogenesis and VEGF in Cancer (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers) and Liver Disease Diagnosis and Treatment (10 papers). The work is most often cited by research in Hepatology (1.5k citations), Cancer Research (797 citations), Immunology (721 citations), Oncology (778 citations) and Surgery (1.1k citations). Hideki Iwamoto has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takuji Torimura, Zhifeng Shao, Timothy L. Cover, Hironori Koga, Daniel Mark Czajkowsky, Yihai Cao, Atsushi Takenaka, Shigeo Shimose, Takashi Niizeki and Tomotake Shirono. Their work appears in journals such as Cancers, Hepatology Research, Oncology, International Journal of Urology and International Journal of Clinical Oncology.

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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