Naoya Ikeda

3.6k citations
93 papers · 2.9k indexed · 1 hit paper · h-index 27

Naoya Ikeda

82 papers receiving 2.8k citations

Hit Papers

Clinical Significance of Programmed Death-1 Ligand-1 and ...6602005202620122019200400600

Peers

Naoya Ikeda
Comparison fields: 5 of 103
  • Oncology 1.6k
  • Hepatology 456
  • Cancer Research 483
  • Immunology 546
  • Immunology and Allergy 113
Replace Yohei Masugi with:
Yohei Masugi Japan
Ivar P. Gladhaug Norway
Hiroyuki Takamura Japan
Jeremias Wohlschlaeger Germany
Tohru Utsunomiya Japan
Ray‐Hwang Yuan Taiwan
Peer Flemming Germany
Henning Reis Germany
Ryusei Matsuyama Japan
Naoya Ikeda relative to Yohei Masugi Japan Yohei Masugi's profile →
Citations per field
00.5×1.5×2.1×
Yohei Masugi · 1×
Citations per year

Countries citing papers authored by Naoya Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Naoya Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20211
4 20211
5 20201
6 20180
7 201527
8 201510
9 20143
10
Wind Speed Prediction System Using Complex-valued Neural Network and Frequency Component of Wind Speed
20130
11 201212
12 20100
13 20100
14 20070
15
Clinical significance and therapeutic potential of PD-L/PD-1 pathway in human pancreatic cancer
20062
16 20050
17
Prognostic significance of death-associated protein-kinase expression in hepatocellular carcinomas.
200320
18
Clinical predictors of recurrence site after hepatectomy for metastatic colorectal cancer.
200223
19 1999267
20
Vitreous biopsy led to diagnosis in a case of primary ocular malignant lymphoma
19930

About Naoya Ikeda

Naoya Ikeda is a scholar working on Oncology, Hepatology and Surgery, having authored 93 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (27 papers), Pancreatitis Pathology and Treatment (11 papers), Neuroendocrine Tumor Research Advances (9 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Organ Transplantation Techniques and Outcomes (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Liver Disease and Transplantation (5 papers) and Angiogenesis and VEGF in Cancer (5 papers). The work is most often cited by research in Oncology (1.6k citations), Hepatology (456 citations) and Cancer Research (483 citations). Naoya Ikeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshiyuki Nakajima, Masayuki Sho, Hiromichi Kanehiro, Michiyoshi Hisanaga, Yoshikazu Tsurui, Hisanori Kashizuka, Takashi Mizuno, Mitsuo Nagao, Masayuki Miyake and Kaoru Hamada. Their work appears in journals such as Journal of Hepato-Biliary-Pancreatic Sciences, Surgery Today, Pancreatology, Transplantation and World Journal of 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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