Tadao K. Kobayashi

2.4k total citations
148 papers, 1.6k citations indexed

About

Tadao K. Kobayashi is a scholar working on Epidemiology, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Tadao K. Kobayashi has authored 148 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 32 papers in Obstetrics and Gynecology and 28 papers in Surgery. Recurrent topics in Tadao K. Kobayashi's work include Endometrial and Cervical Cancer Treatments (26 papers), Ovarian cancer diagnosis and treatment (23 papers) and Cervical Cancer and HPV Research (21 papers). Tadao K. Kobayashi is often cited by papers focused on Endometrial and Cervical Cancer Treatments (26 papers), Ovarian cancer diagnosis and treatment (23 papers) and Cervical Cancer and HPV Research (21 papers). Tadao K. Kobayashi collaborates with scholars based in Japan, United States and Italy. Tadao K. Kobayashi's co-authors include Yoshiaki Norimatsu, Kenji Yanoh, Masamichi Bamba, Suzuko Moritani, Ryoji Kushima, Eiji Ohno, Keiko Shimizu, Takanori Hattori, Kazuo Tsubota and Y. Miyake and has published in prestigious journals such as PLoS ONE, Cancer and Radiology.

In The Last Decade

Tadao K. Kobayashi

142 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tadao K. Kobayashi Japan 23 420 381 311 266 230 148 1.6k
Hannah R. Krigman United States 21 300 0.7× 438 1.1× 244 0.8× 659 2.5× 192 0.8× 46 1.8k
Pincas Bitterman United States 23 303 0.7× 804 2.1× 308 1.0× 782 2.9× 362 1.6× 73 2.1k
Patricia C. Ewing Netherlands 23 492 1.2× 226 0.6× 91 0.3× 272 1.0× 402 1.7× 43 1.5k
Vera Loizzi Italy 27 497 1.2× 857 2.2× 249 0.8× 977 3.7× 425 1.8× 161 2.5k
Mark Adelson United States 16 176 0.4× 607 1.6× 176 0.6× 1.2k 4.4× 856 3.7× 45 1.9k
Takuma Fujii Japan 25 785 1.9× 417 1.1× 86 0.3× 257 1.0× 377 1.6× 105 1.7k
Khush Mittal United States 33 328 0.8× 1.6k 4.2× 359 1.2× 1.3k 4.9× 282 1.2× 73 3.1k
Elke A. Jarboe United States 27 371 0.9× 815 2.1× 262 0.8× 1.3k 4.8× 424 1.8× 70 2.5k
Lewis Perrin Australia 25 378 0.9× 701 1.8× 128 0.4× 893 3.4× 593 2.6× 77 2.0k
Edyta C. Pirog United States 26 1.5k 3.6× 817 2.1× 237 0.8× 427 1.6× 1.0k 4.5× 67 2.5k

Countries citing papers authored by Tadao K. Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Tadao K. Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tadao K. Kobayashi. 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 Tadao K. Kobayashi. The network helps show where Tadao K. Kobayashi may publish in the future.

Co-authorship network of co-authors of Tadao K. Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Tadao K. Kobayashi. A scholar is included among the top collaborators of Tadao K. Kobayashi 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 Tadao K. Kobayashi. Tadao K. Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kobayashi, Tadao K., Hiroya Araie, Ryuhei Harada, et al.. (2025). Characterization of Delta-7 Alkenone Desaturase in Haptophyte Gephyrocapsa huxleyi Through Heterologous Expression in Tisochrysis lutea. Marine Biotechnology. 27(1). 44–44.
2.
Norimatsu, Yoshiaki, et al.. (2024). Assessment of the localization of chondroitin sulfate in various types of endometrial carcinoma. PLoS ONE. 19(5). e0304420–e0304420.
3.
Norimatsu, Yoshiaki, et al.. (2023). A review of the directly sampled endometrial cytology on LBC samples: Classification, microscopic criteria and beyond. Cytopathology. 35(3). 350–361. 2 indexed citations
4.
Norimatsu, Yoshiaki, Takeshi Nishikawa, Hiroko Yano, et al.. (2021). The expression pattern of CD10 and CD31 identifies fine fibrovascular stroma of grade 1‐endometrial endometrioid carcinomas in cytology. Cytopathology. 33(3). 362–373. 2 indexed citations
7.
Ishitani, Ken, Yoshiaki Norimatsu, Kenji Yanoh, et al.. (2019). Evaluation of cellular adequacy in endometrial liquid‐based cytology. Cytopathology. 30(5). 526–531. 2 indexed citations
8.
Norimatsu, Yoshiaki, Kenji Yanoh, Yoshinobu Maeda, et al.. (2019). Insulin‐like growth factor‐II mRNA‐binding protein 3 immunocytochemical expression in direct endometrial brushings: Possible diagnostic help in endometrial cytology. Cytopathology. 30(2). 215–222. 7 indexed citations
9.
Hjerpe, Anders, Valeria Ascoli, Carlos Bedrossian, et al.. (2015). Guidelines for the Cytopathologic Diagnosis of Epithelioid and Mixed-Type Malignant Mesothelioma. Acta Cytologica. 59(1). 2–16. 65 indexed citations
10.
Kato, Junko, et al.. (2014). Comparison of various sampling devices used in endocervical cytology for the detection of atypical cells. The Journal of the Japanese Society of Clinical Cytology. 53(2). 94–98.
11.
Kitano, Etsuko, Yoji Sato, Tadao K. Kobayashi, et al.. (2008). Investigation of Cynomolgus Monkey Complement. Transplantation Proceedings. 40(2). 607–608. 1 indexed citations
12.
Takahashi, Hisao, et al.. (2006). Metaplastic breast carcinoma with chondrosarcomatous differentiation: Fine-needle aspiration cytology findings. A case report. Diagnostic Cytopathology. 34(11). 772–775. 6 indexed citations
13.
Kobayashi, Tadao K., et al.. (2003). Papillary Clusters as a Diagnostic Pitfall in Urinary Cytology of Pseudosarcomatous Fibromyxoid Tumor of the Bladder. Acta Cytologica. 47(6). 1069–1073. 2 indexed citations
14.
Kobayashi, Tadao K., et al.. (2003). Eosinophilic ascites. Cytopathology. 14(2). 84–86. 3 indexed citations
15.
Moritani, Suzuko, Ryoji Kushima, Hiroyuki Sugihara, et al.. (2002). Availability of CD10 Immunohistochemistry as a Marker of Breast Myoepithelial Cells on Paraffin Sections. Modern Pathology. 15(4). 397–405. 115 indexed citations
16.
Sudo, Eiichi, et al.. (2001). The Effects of Pulmonary Rehabilitation with Chronic Obstructive Pulmonary Disease (COPD).. Nippon Ronen Igakkai Zasshi Japanese Journal of Geriatrics. 38(6). 780–784. 3 indexed citations
17.
Kobayashi, Tadao K., et al.. (1998). Bar-Shaped Nuclear Chromatin in Conjunctival Samples. Acta Cytologica. 42(5). 1129–1132. 3 indexed citations
18.
Kawaguchi, Keiko, et al.. (1988). Comparative study of varying techniques for cervical cytology. Cytobrush versus cotton swab.. The Journal of the Japanese Society of Clinical Cytology. 27(1). 7–13. 1 indexed citations
19.
Masuda, Kazuyoshi, et al.. (1985). Cerebrospinal fluid cytology with carcinomatous meningitis from gastric cancer: Reports of three cases.. The Journal of the Japanese Society of Clinical Cytology. 24(2). 178–182. 2 indexed citations
20.
Kobayashi, Tadao K., et al.. (1985). Cytodiagnosis of herpes simplex keratitis by means of an immunoperoxidase technique. A case report.. PubMed. 29(5). 708–11. 8 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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