Atsuko Katagiri

1.2k citations
37 papers · 956 indexed · h-index 17
Topics
Ovarian cancer diagnosis and treatment (14 papers)Uterine Myomas and Treatments (9 papers)Cancer Mechanisms and Therapy (7 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Atsuko Katagiri

37 papers receiving 941 citations

Peers

Atsuko Katagiri
Comparison fields: 5 of 64
  • Molecular Biology 621
  • Reproductive Medicine 351
  • Cancer Research 231
  • Pathology and Forensic Medicine 220
  • Oncology 205
Replace Munmun Rahman with:
Munmun Rahman Japan
Sandrina Lambrechts Belgium
Adriaan Vanderstichele Belgium
Catherine Emmanuel Australia
Yuanming Shen China
John Wallbillich United States
Cristina Mirantes Spain
Dilu Feng China
Diana P. English United States
Atsuko Katagiri relative to Munmun Rahman Japan Munmun Rahman's profile →
Citations per field
00.5×1.5×
Munmun Rahman · 1×
Citations per year

Countries citing papers authored by Atsuko Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Atsuko Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atsuko Katagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Atsuko Katagiri. A scholar is included among the top collaborators of Atsuko Katagiri 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 Atsuko Katagiri. Atsuko Katagiri 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
#WorkIndexed citations
1 9
2
ESR1 Gene Amplification in Endometrial Carcinomas: A Clinicopathological Analysis
11
3 28
4 8
5 5
6 3
7 20
8 4
9 9
10 35
11 174
12 12
13 19
14 34
15 9
16 153
17 19
18 1
19 39
20 21

About Atsuko Katagiri

Atsuko Katagiri is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 37 papers that have together received 956 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (14 papers), Uterine Myomas and Treatments (9 papers) and Cancer Mechanisms and Therapy (7 papers). The work is most often cited by research in Reproductive Medicine (351 citations), Obstetrics and Gynecology (135 citations) and Cancer Research (231 citations). Atsuko Katagiri has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kentaro Nakayama, Kouji Iida, Masako Ishikawa, Naomi Nakayama, Kohji Miyazaki, Munmun Rahman, Mohammed Tanjimur Rahman, Shamima Yeasmin, Tomoka Ishibashi and Hiroshi Katagiri. Their work appears in journals such as Cancer, Clinical Cancer Research and International Journal of Molecular Sciences.

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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