Katsuhide Ikeda

657 total citations
44 papers, 472 citations indexed

About

Katsuhide Ikeda is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Katsuhide Ikeda has authored 44 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 8 papers in Surgery. Recurrent topics in Katsuhide Ikeda's work include AI in cancer detection (7 papers), Occupational and environmental lung diseases (6 papers) and Medical Imaging and Pathology Studies (5 papers). Katsuhide Ikeda is often cited by papers focused on AI in cancer detection (7 papers), Occupational and environmental lung diseases (6 papers) and Medical Imaging and Pathology Studies (5 papers). Katsuhide Ikeda collaborates with scholars based in Japan, Poland and United States. Katsuhide Ikeda's co-authors include Takao Suzuki, Toshiyuki Mitsuya, Genshu Tate, Takashi Kitamura, Takeshi Iwaya, Chihaya Maesawa, Nobuhiro Sato, Koji Tsuta, Akira Sasaki and Kohzo Nagata and has published in prestigious journals such as Journal of Biological Chemistry, Gastroenterology and The Journal of Physical Chemistry C.

In The Last Decade

Katsuhide Ikeda

42 papers receiving 466 citations

Peers

Katsuhide Ikeda

PRM

ONCOL

SURGE

Antonio d’Amati Italy

Béla Bozóky Sweden

Dinç Süren Türkiye

Giuseppe Isimbaldi Italy

Raluca Niculina Ciurea Romania

Sarah L. McCarron Ireland

Hideaki Naoe Japan

Xiao‐Jun Yang China

Kazuhiro Matsunaga Japan

Antonio d’Amati Italy

Katsuhide Ikeda

91 ×0.5

PRM

99 ×0.9

ONCOL

122 ×1.2

50 ×0.5

SURGE

50 ×0.9

Citations per year, relative to Katsuhide Ikeda Katsuhide Ikeda (= 1×) peers Antonio d’Amati

Countries citing papers authored by Katsuhide Ikeda

Since Specialization

Citations

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

Fields of papers citing papers by Katsuhide Ikeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katsuhide Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Katsuhide Ikeda. A scholar is included among the top collaborators of Katsuhide Ikeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Katsuhide Ikeda. Katsuhide Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ikeda, Katsuhide, et al.. (2025). Deep learning neural network of adenocarcinoma detection in effusion cytology. American Journal of Clinical Pathology. 164(3). 415–423.

Mishima, Ricardo S., et al.. (2025). L‐arginine ameliorates hypertension and cardiac mitochondrial abnormalities but not cardiac injury in male metabolic syndrome rats. Physiological Reports. 13(4). e70183–e70183.

Koyama, Takeshi, et al.. (2025). Simplified Synthetic Route to Doped Oligothiophenes in Carbon Nanotubes. The Journal of Physical Chemistry C. 129(24). 10950–10957. 1 indexed citations

Nagata, Kohzo, Katsuhide Ikeda, Shuhei Kobuchi, et al.. (2024). Comparison of the effects of renal denervation at early or advanced stages of hypertension on cardiac, renal, and adipose tissue pathology in Dahl salt-sensitive rats. Hypertension Research. 47(10). 2731–2744. 1 indexed citations

Ikeda, Katsuhide, et al.. (2023). Effect of Specimen Processing Technique on Cell Detection and Classification by Artificial Intelligence. American Journal of Clinical Pathology. 159(5). 448–454. 4 indexed citations

Ikeda, Katsuhide, et al.. (2023). Staining, magnification, and algorithmic conditions for highly accurate cell detection and cell classification by deep learning. American Journal of Clinical Pathology. 161(4). 399–410. 4 indexed citations

Ikeda, Katsuhide, et al.. (2023). Relationship between a deep learning model and liquid‐based cytological processing techniques. Cytopathology. 34(4). 308–317. 3 indexed citations

Ikeda, Katsuhide, et al.. (2023). Effect of liquid‐based cytology fixing solution on immunocytochemistry: Efficacy of antigen retrieval in cytologic specimens. Diagnostic Cytopathology. 51(9). 546–553. 3 indexed citations

Tamura, Shogo, Nobuaki Suzuki, Nagaharu Tsukiji, et al.. (2022). Periosteum-derived podoplanin-expressing stromal cells regulate nascent vascularization during epiphyseal marrow development. Journal of Biological Chemistry. 298(5). 101833–101833. 5 indexed citations

10.

Ikeda, Katsuhide, et al.. (2022). Immunocytochemical Reactivity Comparison between Formalin-Fixed and Liquid-Based Cytology-Fixed Specimens. Acta Cytologica. 67(1). 38–45. 4 indexed citations

11.

Ikeda, Katsuhide, et al.. (2021). Characterizing the Effect of Processing Technique and Solution Type on Cytomorphology Using Liquid-Based Cytology. Acta Cytologica. 66(1). 55–60. 6 indexed citations

12.

Ikeda, Katsuhide, et al.. (2019). Characterizing the Effect of Automated Cell Sorting Solutions on Cytomorphological Changes. Acta Cytologica. 64(3). 232–240. 4 indexed citations

13.

Yamaguchi, Rin, Takashi Koshikawa, Akinori Ishihara, et al.. (2012). Diagnostic accuracy of fine-needle aspiration cytology of the breast in Japan: Report from the Working Group on the Accuracy of Breast Fine-Needle Aspiration Cytology of the Japanese Society of Clinical Cytology. Oncology Reports. 28(5). 1606–1612. 22 indexed citations

14.

Ikeda, Katsuhide, Genshu Tate, Takao Suzuki, Takashi Kitamura, & Toshiyuki Mitsuya. (2010). Diagnostic usefulness of EMA, IMP3, and GLUT‐1 for the immunocytochemical distinction of malignant cells from reactive mesothelial cells in effusion cytology using cytospin preparations. Diagnostic Cytopathology. 39(6). 395–401. 58 indexed citations

15.

Ikeda, Katsuhide, Takao Suzuki, Genshu Tate, & Toshiyuki Mitsuya. (2009). Multiple immunoenzyme labeling using heat treatment combined with the polymer method: An analysis of the appropriate inactivation conditions of primary antibodies. Acta Histochemica. 113(2). 117–124. 6 indexed citations

16.

Ikeda, Katsuhide, Genshu Tate, Takao Suzuki, & Toshiyuki Mitsuya. (2008). Coordinate expression of cytokeratin 8 and cytokeratin 17 immunohistochemical staining in cervical intraepithelial neoplasia and cervical squamous cell carcinoma: An immunohistochemical analysis and review of the literature. Gynecologic Oncology. 108(3). 598–602. 58 indexed citations

17.

Hamatani, Shigeharu, Takao Suzuki, Katsuhide Ikeda, et al.. (2008). Clear cell adenocarcinoma arising from a giant cystic adenomyosis: A case report with immunohistochemical analysis of laminin-5 gamma2 chain and p53 overexpression. Pathology - Research and Practice. 204(9). 677–682. 19 indexed citations

18.

Ikeda, Katsuhide, Genshu Tate, Takao Suzuki, & Toshiyuki Mitsuya. (2005). Fine Needle Aspiration Cytology of Primary Proximal-Type Epithelioid Sarcoma of the Perineum. Acta Cytologica. 49(3). 314–318. 7 indexed citations

19.

Iwaya, Takeshi, Chihaya Maesawa, Gen Tamura, et al.. (1997). Esophageal carcinosarcoma: A genetic analysis. Gastroenterology. 113(3). 973–977. 50 indexed citations

20.

Ikeda, Katsuhide, et al.. (1994). Ion transport mechanisms in the outer hair cell of the mammalian cochlea. Progress in Neurobiology. 42(6). 703–717. 11 indexed citations

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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