Tsutomu Arai

733 total citations
35 papers, 575 citations indexed

About

Tsutomu Arai is a scholar working on Obstetrics and Gynecology, Oncology and Epidemiology. According to data from OpenAlex, Tsutomu Arai has authored 35 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Obstetrics and Gynecology, 9 papers in Oncology and 9 papers in Epidemiology. Recurrent topics in Tsutomu Arai's work include Endometrial and Cervical Cancer Treatments (12 papers), Cervical Cancer and HPV Research (7 papers) and Ovarian cancer diagnosis and treatment (6 papers). Tsutomu Arai is often cited by papers focused on Endometrial and Cervical Cancer Treatments (12 papers), Cervical Cancer and HPV Research (7 papers) and Ovarian cancer diagnosis and treatment (6 papers). Tsutomu Arai collaborates with scholars based in Japan, United States and Belgium. Tsutomu Arai's co-authors include Kōzō Shinoda, Hironobu Kunieda, Toshio Nakagawa, Masao Wada, Hiroyuki Kuramoto, Isamu Sugawara, Toshiko Jobo, Jun Watanabe, Kosuke Itoh and S Itoyama and has published in prestigious journals such as Cancer, The Journal of Physical Chemistry and Journal of Applied Physiology.

In The Last Decade

Tsutomu Arai

30 papers receiving 539 citations

Peers

Tsutomu Arai
Comparison fields: 5 of 102
  • Oncology 170
  • Molecular Biology 145
  • Obstetrics and Gynecology 77
  • Organic Chemistry 68
  • Reproductive Medicine 67
Replace H Tamaki with:
H Tamaki Japan
Ruth A. Henderson United States
Ron Vergona United States
Domenico Giordano Italy
S. Korolchuk United Kingdom
Dongmei Song China
Linlin Xu China
Weiliang Ding China
Gülçin Altínok Türkiye
Matthew E. Albertolle United States
H Tamaki Japan View profile →
Citations per field, relative to Tsutomu Arai
Tsutomu Arai · 1×
Citations per year, relative to Tsutomu Arai
Tsutomu Arai · 1×

Countries citing papers authored by Tsutomu Arai

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsutomu Arai

This figure shows the co-authorship network connecting the top 25 collaborators of Tsutomu Arai. A scholar is included among the top collaborators of Tsutomu Arai 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 Tsutomu Arai. Tsutomu Arai 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
# Work Indexed citations
1 1
2 1
3 9
4 17
5 51
6 1
7
Significance of matrix metalloproteinase-7 [correction of matrix metalloproteinase-2], -11 and tissue inhibitor of metalloproteinase-1 expression in normal, hyperplastic and neoplastic endometrium.
12
8 27
9 2
10 18
11 0
12 18
13 3
14 7
15 0
16 0
17 17
18
Preferential reduction of nm23-H1 gene product in metastatic tissues from papillary and follicular carcinomas of the thyroid.
23
19 23
20 2

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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