K. Noda

491 citations
14 papers · 396 indexed · h-index 7
Topics
Uterine Myomas and Treatments (3 papers)Endometriosis Research and Treatment (3 papers)Gynecological conditions and treatments (2 papers)
Partner nations
Japan

In The Last Decade

K. Noda

12 papers receiving 389 citations

Peers

K. Noda
Comparison fields: 5 of 83
  • Molecular Biology 117
  • Materials Chemistry 79
  • Organic Chemistry 71
  • Epidemiology 70
  • Reproductive Medicine 54
Replace Jiayi Wu with:
Jiayi Wu China
Scott Kuzdzal United States
Calvin Tebbe United States
Mingxia Zhu China
Taku Murakami Japan
Xingyi Jin China
Xiaoshuang Li China
Fumiko Matsumoto Japan
Benjamin Neuditschko Austria
K. Noda relative to Jiayi Wu China Jiayi Wu's profile →
Citations per field
00.5×7.2×
Jiayi Wu · 1×
Citations per year

Countries citing papers authored by K. Noda

Since Specialization
Citations

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

Fields of papers citing papers by K. Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Noda

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 67
3 20
4 2
5 68
6 17
7 0
8 26
9
Detailed deletion mapping of chromosome 17q in ovarian and breast cancers: 2-cM region on 17q21.3 often and commonly deleted in tumors.
167
10
[Ovarian metastasis in patients with cervical cancer].
2
11 1
12 3
13
[Metastasized leiomyoblastoma of the stomach. Clinicopathological study of a typical case (author's transl)].
1
14 22

About K. Noda

K. Noda is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Fluid Flow and Transfer Processes, having authored 14 papers that have together received 396 indexed citations. Recurring topics across this work include Uterine Myomas and Treatments (3 papers), Endometriosis Research and Treatment (3 papers) and Gynecological conditions and treatments (2 papers). The work is most often cited by research in Reproductive Medicine (54 citations), Obstetrics and Gynecology (48 citations) and Cancer Research (54 citations). K. Noda has collaborated with scholars based in Japan. Frequent co-authors include Junko Saito, Satoru Sagae, J. Inazawa, Hirohisa Saito, Hiroko Saito, F Kasumi, R. Kudo, Yusuke Nakamura, Yushu Matsushita and Jirô Suzuki. Their work appears in journals such as Macromolecules, Journal of Colloid and Interface Science and American Journal of Obstetrics and Gynecology.

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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