Hiroki Teraoku

527 citations
45 papers · 375 · h-index 13

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • MicroRNA in disease regulation

Papers in

    • Pancreatic and Hepatic Oncology Research 2
    • Hepatocellular Carcinoma Treatment and Prognosis 7

Hiroki Teraoku

39 papers receiving 370 citations

Peers

Hiroki Teraoku
Comparison fields: 5 of 58
  • Hepatology 86
  • Cancer Research 47
  • Oncology 78
  • Immunology 48
  • Molecular Medicine 9
Replace Chi‐Juei Jeng with:
Chi‐Juei Jeng Taiwan
Kota Kaneko United States
Shuya Bai China
Pengfei Sun China
Penghao Kuang China
Takahiko Sakaue Japan
Changjun Jia China
Kyung Joo Cho South Korea
Xiaojie Gan China
Yuta Myojin United States
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Citations per field
00.5×2.8×
Chi‐Juei Jeng · 1×
Citations per year

Countries citing papers authored by Hiroki Teraoku

Since Specialization
Citations

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

Fields of papers citing papers by Hiroki Teraoku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202243
2 201736
3 201729
4 202328
5 201621
6
High NEK2 Expression Is a Predictor of Tumor Recurrence in Hepatocellular Carcinoma Patients After Hepatectomy.
201621
7 201519
8 201519
9
Loss of SFRP1 Expression Is Associated with Poor Prognosis in Hepatocellular Carcinoma.
201618
10 202015
11 201814
12 201613
13 201713
14 201911
15 201711
16 202410
17 20178
18 20236
19 20235
20 20234

About Hiroki Teraoku

Hiroki Teraoku is a scholar working on Oncology, Hepatology, Surgery, Molecular Biology and Immunology, having authored 45 papers that have together received 375 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Immune cells in cancer (3 papers), Cancer Mechanisms and Therapy (3 papers), Diabetes and associated disorders (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Hepatology (86 citations), Cancer Research (47 citations), Oncology (78 citations), Immunology (48 citations) and Molecular Medicine (9 citations). Hiroki Teraoku has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Mitsuo Shimada, Yu Saito, Tetsuya Ikemoto, Yuji Morine, Shinichiro Yamada, Satoru Imura, Masato Yoshikawa, Chie Takasu, Daichi Ishikawa and Toshiaki Yoshimoto. Their work appears in journals such as The Journal of Medical Investigation, Anticancer Research, Hepatology Research, World Journal of Surgery and BMC Surgery.

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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