Daniel T. Kato

721 citations
9 papers · 583 · h-index 7

Impact in

Papers in

Daniel T. Kato

9 papers receiving 576 citations

Peers

Daniel T. Kato
Comparison fields: 5 of 43
  • Obstetrics and Gynecology 288
  • Reproductive Medicine 144
  • Pulmonary and Respiratory Medicine 138
  • Cancer Research 53
  • Biotechnology 24
Replace Mee Sun Yoon with:
Mee Sun Yoon South Korea
Kaoru Okugawa Japan
Lanchun Lu United States
Michael Method United States
Jenny Ling‐Yu Chen Taiwan
Yasunori Hashiguchi Japan
Ying L. Liu United States
A.A.M. van der Wurff Netherlands
Jutta Huvila Finland
L. Dirix Belgium
Daniel T. Kato relative to Mee Sun Yoon South Korea Mee Sun Yoon's profile →
Citations per field
00.5×3.3×
Mee Sun Yoon · 1×
Citations per year

Countries citing papers authored by Daniel T. Kato

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Kato'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 Daniel T. Kato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Kato more than expected).

Fields of papers citing papers by Daniel T. Kato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Kato. 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 Daniel T. Kato. The network helps show where Daniel T. Kato may publish in the future.

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1994291
2 199591
3 199972
4
Intraperitoneal photodynamic therapy of human epithelial ovarian carcinomatosis in a xenograft murine model.
199657
5 199646
6 200516
7 19947
8 19962
9 19961

About Daniel T. Kato

Daniel T. Kato is a scholar working on Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Reproductive Medicine, Biomedical Engineering and Biotechnology, having authored 9 papers that have together received 583 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Photodynamic Therapy Research Studies (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Cancer Research and Treatments (2 papers), Nanoplatforms for cancer theranostics (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Obstetrics and Gynecology (288 citations), Reproductive Medicine (144 citations), Pulmonary and Respiratory Medicine (138 citations), Cancer Research (53 citations) and Biotechnology (24 citations). Daniel T. Kato has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Judith A. Ferry, Barbara A. Goff, Tayyaba Hasan, Hisham K. Tamimi, Benjamin E. Greer, Howard G. Muntz, Rodney A. Schmidt, Joanna M. Cain, David C. Figge and Marit Ek. Their work appears in journals such as International Journal of Cancer, Gynecologic Oncology, Obstetrical & Gynecological Survey, Proceedings of the National Academy of Sciences and British Journal of Cancer.

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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