Naoki Oishi

3.9k citations
122 papers · 2.5k indexed · h-index 24

Naoki Oishi

115 papers receiving 2.4k citations

Peers

Naoki Oishi
Comparison fields: 5 of 103
  • Hepatology 443
  • Cancer Research 452
  • Endocrinology, Diabetes and Metabolism 499
  • Oncology 623
  • Pathology and Forensic Medicine 331
Replace Naoyuki Miyokawa with:
Naoyuki Miyokawa Japan
E. Galmozzi Italy
Purva Gopal United States
Yutaka Yonemura Japan
Mitsuteru Natsuizaka Japan
Seiji Satoh Japan
Emmanuelle Jeannot France
Andrew Ruszkiewicz Australia
Eun Kyung Hong South Korea
Koichi Matsuzaki Japan
Naoki Oishi relative to Naoyuki Miyokawa Japan Naoyuki Miyokawa's profile →
Citations per field
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Naoyuki Miyokawa · 1×
Citations per year

Countries citing papers authored by Naoki Oishi

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Oishi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20233
5 20232
6 20223
7 20222
8 20226
9 20214
10 202110
11 20193
12 201923
13 201782
14 201719
15 201644
16 201212
17
The transcriptional transactivation function of HBx protein is important for its augmentation role in hepatitis B virus replication1
2006160
18
Nucleolin interacts with telomerase
200695
19
Immunotherapy of carcinoma of the stomach: a status report.
19772
20
[COMPARATIVE STUDIES ON THE CHEMICAL COMPOSITION OF GALLSTONES IN JAPAN, CHINA AND THE UNITED STATES].
196310

About Naoki Oishi

Naoki Oishi is a scholar working on Pathology and Forensic Medicine, Hepatology and Endocrinology, Diabetes and Metabolism, having authored 122 papers that have together received 2.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (19 papers), Lymphoma Diagnosis and Treatment (18 papers), Viral-associated cancers and disorders (11 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers), Gastrointestinal disorders and treatments (6 papers), Hepatitis B Virus Studies (6 papers), Epigenetics and DNA Methylation (6 papers) and BRCA gene mutations in cancer (5 papers). The work is most often cited by research in Hepatology (443 citations), Cancer Research (452 citations) and Endocrinology, Diabetes and Metabolism (499 citations). Naoki Oishi has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Shuichi Kaneko, Seishi Murakami, Tetsuo Kondo, Taro Yamashita, Hong Tang, Kunio Mochizuki, Ryohei Katoh, Xin Wei Wang, Tadao Nakazawa and Huy Gia Vuong. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Hepatology.

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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